BEST-GM AND DEVELOPMENT'OF R QUESTLUNNAIRE AND COMPUTER PROGRAM FUR MARKET ANALYSIS OF FARM MACHINERY " ' STORAGE BUELDLNGS ’ Special Ptmiem fur the Degree at R S. MTCRGRN STATE ‘ f BRUCE RELER SEW 19?} LIBRARY Michigan State University SUPPLEMENTARY MAI ERIAL IN BACK OF BOOK PLACE IN RETURN BOX to remove this checkout from your record. TO AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 5/08 K:IProjIAcc&Pres/CIRC/Dateoue.indd Design and Development Li a Questionnaire and Computer Fragram for Market Analysis of Farm Hachinery Storage Buildings By Bruce Allen Summerer Special Problem Submitted to Michigen State University in partial fulfillment of the requirements for the degree of Heater of Science Department of Agricultural Engineering September 1971 ABSTRACT Design and Deve10pment of Questionnaire and Computer Program for Market Analysis of farm Machinery Storage Buildings By Bruce Allen Summerer This report deals with the development of a questionnaire to determine the market for and some design parameters of steel farm machinery storage buildings. The analysis was conducted in the states of Michigan and Ohio as a part of a larger statistically designed survey entitled "Farm Machinery Use Study." A computer program, written to analyse data from the questionnaire and preliminary results for 45 percent of the total sample are included. Approved Major Professor Approved Department Chairman ACKNOWLEDGMENTS The author wishes to express his appreciation to his major professor, Dr. C. J. Mackson, for his direction and guidance in completing this special problem. In addition. the author would like to thank Mr. Harold Hughes and Mr. Charles Bausmann for their inputs to the project and advice concerning the duestionnaire and computer analysis. The financial.assistance provided by the John Deere Plow Works which made this project possible was greatly appreciated. ii TABLE OF CONTENTS ACkflWledgmnta 0.00.0.........OOOOOOOOIO0...... ..... 00...... List of Apmndices O O O O C C O . C O O O O O O O . O O O O I I I O O O O O C . O O O C . ...... Reason yor Survey 0 O 0 O O O O O O O O C O O O D O O O O O O O 0 O O O O 000000 O O O ...... Questionnaire Design and Development ........... ..... . ..... Biplementation 0! Survey ......IOOOOOOOOO0.00000000000IO... MethOd of DataAnalyai. ......O...’.............OCOOOIIOOCO Preliminary ReBUIt‘ ......OOOOOOOOOOOOOOOOOOOOIOOOOOOOOOIOOOO References ...OO00.0.0.........OOOOOOOOOOOO0......0.00....O Appendix ... iii 12 15 17 LIST OF APPENDICES Appendix _ Page 1. Questionnaire ....................................... 13 2. Table 1, Questions vs. Objectives ................... 19 3. Comments on Computer Program ........................ 20 4. Computer Program .................................... 23 5. Sample Output from Program .......................... 37 6. Table 2, Market Summary [or Michigan By Size of rarm. 72 7. Table 3, Market Summary For Ohio By Size of Farm..... 73 8. Table 4, Market Summary For Michigan By Type of term. 74 iv REASON FOR SURVEY With few exceptions the market place of today is dynamic, gigantic and fiercely competitive for the majority of products. 'This is parti- cularly true of markets in the United States (2). Due to present day economic conditions and this keen competition it has become increasingly difficult for businesses to create and maintain a differential advantage over their competitors in any particular product line. When new products are introduced, competitors respond rapidly and any competitive advantage which the innovating business'firm may hold is rapidly eroded away. Consequently, business firms must develop and market new products at a rapid rate and continually evaluate aristing products to determine whether or not they are contributing thhirnhhsre to the profits of the firm. -If a particular bf°dust proves unprofitable-or its profit potsntial is declining than it should be rsplaesd‘with one of better profit potential. law product development is expensive and.costs incurred are generally not recouped immediately. lance,-tha decision to manufacture and market a new product, by any given firm, must be based upon the best possible information. _A method used to obtain information about a particular product is to survey a statistical sample of those who might be potential. purchasers of the product in question. ' ‘ A The management 5i the John Deere Plow Works, a Division of Deere and ' Company of Molina, Illinois wished to utilise a portion of the Plow Hosts facility to_prdduct another product. Mopsdully, a product which would be in a growth market. According to Messrs. Priester and Olsen of the John Deere Plow Works three major strengths which the Plow Works wished to capitalize on were: 1) Extensive facilities and ability to form steel. 2) a strong dealer network.with good distribution systamm. and 3) A well established brand name (John Deere) in the farm machinery industry. They wished to determine the feasibility of manufacturing and marketing a steel machinery storage building. they felt that the information obtained irom a survey of a statistical sample of farmers in Michigan and Ohio would help them in making this decision. in agreement was made to include this survey with another concerned with farm machinery use which was being conducted by Agricultural Engineering personnel at Michigan State university and Ohio State University. This agreement provided that the questionnaire on farm machinery storage buildings would be administered by a personal interviewer and all those farms surveyed in thetarm machinery use study would also be surveyed on farm machinery storage buildings. QUESTIONNAIRE DESIGN AND DEVELOPMENT As a basis for the design of an appropriate questionnaire, specific and measurable objectives had to be delineated. Broad objectives were established in cooperation with John Deere Plow Works personnel. In addition, information gained by surveying 34 university agricultural engineering departments concerned with farm buildings and 13 manufacturers of metal farm buildings served as a guideline to insure that the questions and objectives were relevant to current needs and practices. Following are primary objectives of the survey: 1. Determine the percentage of farmers in Michigan and Ohio who are likely to purchase a machinery storage building. Determine the preferred design features of machinery storage buildings. Determine what structures are in demand other than farm machinery storage buildings. Determine the most common or preferable method of building erection, i.e. farmer or contractor. Determine what, if any, are the most common criticisms of machinery storage buildings. Objectives 1 and 2 are requirements for this survey concerned with the market potential of farm machinery storage buildings. Number one should indicate if there are sufficient customers and number two what they would most prefer in terms of the product. Objective 3 should provide guides for future market expansion and diversification in the area of metal buildings. Objective 4 was included because the method of erection will have profound influence on tne merchandising methods used and the optimum method of distribution. Objective 5 was included to avoid as many pitfalls in the design and marketing of a new product as possible. Clearly, it would show lack of planning if anyone were to design and attempt to market a machinery storage building which had undesirable characteristics. In addition to the above objectives, other constraints had to be considered in the design of the questionnaire. Most of these are dictated by courtesy, common sense and by discussion with persons experienced with interviewing rural peeple. For example, the questionnaire must not take an excessive amount of time to answer in order that equally sincere and/or accurate responses are given by the interviewed party to all questions. If the questions are ambiguous or redundant the person being interviewed is likely to lose interest and supply answers which will end the interview in the shortest possible time instead of giving an accurate reflection of his Opinion. Similarly, the physical sire of the questionnaire must not appear too large or the interviewed party will become negatively influenced before the interview begins. further considerations included efforts to make the questionnaire as easy to follow as possible for the interviewer and to minimize misinterpretation of questions and instructions. The social impact of some questions also had to be considered so that they were not offensive to the interviewed party (9a). Before arriving at the final type and design of questionnaire much preliminary work was done.. Many persons were consulted to obtain their suggestions and criticisms concerning the proposed market analysis and the effectiveness of the questionnaire. é As information was obtained concerning the types of questions to be used and the objectives became more clearly defined, numerous questions were tried within different questionnaire formats. In all, seven questionnaire formats were tried. Results of the field trials indicated that the persons interviewed should be progressively categorized by and directed through the questionnaire in such a way that they clearly under- stand the questions and do not have to respond to redundant questions. The need for this categorisation is best illustrated by example; if a person has no intention of acquiring a machinery storage building, then his Opinions concerning size, features and the like are not pertinent. He will probably never be a customer and his "off the cuff" answers would be misleading. Thus, the questionnaire was designed so that persons in this category did not answer questions on features, size etc. For the purposes of the survey, it was felt that interviewed parties would fall into the following categories: 1. Those not interested in machinery storage buildings, 2. Those having recently constructed a machinery storage building, and - 3. Those having interest in machinery storage buildings with possible intentions to build in the forseeable future. The questionnaire (Appendix 1) was then designed so that the interviewed party only answered questions pertaining to one of the above categories. If, however, a person fell into more than one of the categories, he answered questions pertaining to both categories. In this respect the questionnaire was self administering. With this design, all interviewees answer questions 1, 2, 3, 4, S, 6, l9 and 20. Those in category 1 also answer questions 5, 6, 7, and 8. Persons in category 2 answer additional questions 7 - 14. Those persons in category 3 answer all questions. Examination of the above in relation to the attached questionnaire will reveal that no one interviewed will have to answer unnecessary questions nor questions nor relevant to their opinions or future plans. It is assumed that persons not having positive dispositions toward machinery storage buildings should not influence the market analysis in terms of design preferences. Table 1 (Appendix 2) is a breakdown of questions and objectives; an "X" denotes satisfaction of an objective by a specific question. Examination of the figure will reveal objectives 1 and 2 are satisfied by numerous questions. It was felt that these objectives were most important to the market analysis and are most difficult to deal with directly on a survey basis. Hence, the high proportion of questions for these objectives. Objectives 3, 4 and 5 are each satisfied by one question. These objectives are more straight forward in nature and can be satisfied quite directly by changing the wording of the objective from that of a statement to that of an interrogative. IMPLEMENTATION OF SURVEY This survey will take the entire year of 1971 to complete, as the ”Farm Machinery Use Study" runs from 1-1-71 to 12-31-71. Approximately 2,500 farmers are to be interviewed in the states of Michigan and Ohio, with the number approximately equally divided between the two states. The basis for choosing representative farmers and the type of farms (in Michigan) was the 1964 Michigan census. This was chosen because it was the most accurate and current source of data available at the time the survey was planned. Using this census, counties were then broken into five basic farming categories; dairy, fruit, livestock, cash crop or general. from these categories, a county and an alternate were randomly chosen to be repre- sentative. From within these counties, farms were randomly chosen for interviews within the farming areas. a starting farm (starting point) was randomly chosen from the County Ixtension Agent's mailing list. If this starting farm qualified asve farm according to the 0.8. Census definition and it used farm machinery, then that farm and the next seven down the road were surveyed. Interviewers were well known people within their respective geographic areas and had previous experience in the egri-business area. Typical examples of interviewers are soil conservationists and County Extension Agents. women active in the farming community were also used as interviewers. Training sessions were held at Ohio State University and Michigan State University, during the month of December 1970, for interviewers in those states.w During these training sessions, some background was given concerning the survey as well as general project instructions and detailed instructions on the use of the questionnaire and the forms used for the "Farm Machinery Use Study." The instructions included a basic description of what the formwwas designed to do, and detailed instructions on the type of information that was desired for each question. Interviewers were encouraged to make clarifying remarks on the form or to give additional information as they saw fit. METHOD OF DATA ANALYSIS The program to analyze data from this survey appears in Appendix 4. The output from the program consists of percentages of respondents answering in a particular manner to a particular question. For example, for question number 10 the percentages of persons preferring roof styles a, b, c, d, e and f would be given. These percentages are based on the total number of respondents in a given category as explained below. In addition to these percentages the average acreage of farms surveyed, average length and width of recently constructed and planned buildings will be given. Again these averages will be for the particular category indicated. The categories used will be as follows: 1. The respondent a. Operator b. Wife of Operator c. Other 2. The type of farming Operation a. Cash Crop b. Dairy c. Livestock d. rruit e. General farming 3. The acreage operated a. 50 acres or less b. 51 to 200 acres c. 201 to 400 acres d. More than 400 acres 9 5. A combination of farm type and acreage Operated. For example: a. Cash CrOp farms Of 50 acres or less b. Cash Crop farms of 51 to 200 acres c. Cash Crop farms of 201 to 400 acres d. Cash CrOp farms Of more than 400 acres A composite or total analysis of all respondents. The categorization was done for several reasons. It is hOped that categorization will better enable the users of the data to determine: 1. What, if any, are the particular preferences in machinery storage buildings both in general and as related to a particular type of farming operation. How farm size relates to building requirements, If the class of respondent greatly influences the outc0me of the survey, How farm type and size tOgether influence machinery storage building requirements, and Which marketing approaches would prove most advantageous i.e., type of advertising, type of distribution system, Options and features required. , The input to the computer program will consist of two standard computer cards which contain the coded datafrom each questionnaire submitted. These cards will have on them a number relating to the specific farm surveyed and the respondents replies to the various questions. For questions which are open ended or can be answered "other ", various possible responses have been delineated so that qualitative analysis can be made. 10 More detailed information concerning the functioning of the prOgram is given in "Comments on Computer Program“, (Appendix 3). See Appendix 5 for a sample output frmn the program. ll PRELIMINARY RESULTS This report summarizes the results of the machinery storage survey up through Angust l, 1971. This represents approximately 45% of the total sample. A brief analysis of the market potential for Michigan and Ohio is shown in Tables 2 and 3 (Appendixes 6 and 7). For the Michigan analysis, the number of farms was taken from the 1969 census of agriculture. The Ohio analysis is based on a 1964 farm census and projected to a 1969 figure by assuming a 16.61 decrease in number of farms as was experienced in Michigan. The Michigan analysis shows that 13,621 farm machinery storage buildings will be built in Michigan in the next five years. In Ohio the market potential is 17,300 farm machinery storage buildings in the next five years. _ Table 4 (Appendix 8) is a brief analysis of the market potential in Michigan based on the type of farm. The number of farms in each classification is based on the 1964 farm census (1969 census not yet available). It should be noted that the greatest market potential for machinery storage buildings is in the cash crap and dairy farm enterprises. CONCLUSIONS: l. The survey shows that the demand for machinery storage buildings in the next five years in Michigan will be 13,621 and in Ohio, 17,300 for a total of 30,921 buildings. This represents an increase in the demand for machinery storage buildings of 3.51. i 2. In Michigan the dairy and cash crap farmers will account for 701 of the potential market for machinery storage buildings. 12 3. The greatest demand for machinery storage buildings in Michigan according to size of farm is in the_50-200 and 200-600 acre range. In Ohio, 42% of the demand will be in the 0-50 acre range and 441 from 50-200 acre range. 4. Analysis of the data show that 59.8% of the Michigan and Ohio farmers store their machinery in some type of machinery storage building. 15.31 store most of their machinery out of doors. 5. 61.21 of the Michigan and Ohio farmers surveyed indicated that they thought a machinery storage building was a good investment for them on their farms. '6. Of the Michigan and Ohio farmers who indicated that a machinery storage building is a good investment for them on their farms: a. 55% prefer steel sheathing, b. 141 prefer steel framing and 8.5% have no preference c. 661 would like a farm shop included in the machinery storage building d.‘ 651 preferred the common gable type roof. The modified gable tend the shed type accounted for about 14.51 each. e. 341 preferred the side Opening and 271 preferred a side and end opening design which are designs A and I on the questiOn- naire ‘ f. {More than 70% indicated that they did not want any Open sides on the building I g. 55% indicated they would construct this building by themselves h. -Approximately 33T‘were planning on building a machinery storage building in the next 5 years "13 i. The average size building planned will be 37.6 X 68.7 feet. This represents an increase over the size of past machinery storage buildingsof 1.7 feet in width and 6.3 feet in length. j. An overwhelming 701 of those who thought machinery storage buildings were a good investment prefer sliding doors k. More than 50% wanted electrical outlets in the storage buildings and about 401 wanted sky lights 1. The most pOpular features desired in a machinery storage . building were, electrical outlets, concrete floors and a service door. 22.31 of all Michigan and Ohio farms interviewed had plans for some other type structure: 6.91 of the farmers planned some type of crap storage, 3.7% planned livestock housing, 3.1% planned dairy housing and 2.31 planned swine housing. 24.11 of all Michigan and Ohio farmers are considering the purchase of a cab on a new tractor. 16 RBIERENCES 15 Bliss, Perry, Marketing and the Behavioral Sciences; Selected Readings, 2nd Edition, Allyn 6 Bacon, Inc., Boston, Copyright 1967 Sturdivant, I. D., It. Al., Managerial Analysis in Marketing, Scott Poresman and Company, Copyright 1970 Kotler, Marketing Management: Analysis Planning 6 Control Alexander, It. Al., MgrketingLDefinitions (A.M.A.) Levitt, Theo., Innovation ig Mgrkgging; New Perspectives Por Profit and Growth, McGraw-Mill, New York, l962‘ Drucker, Peter 7., Th; Practice of Management, Harper and Row, Publishers, Inc., New York, 1954 Howard, J. A. 6 Sheth, J. N. "Theory of Buyer Behavior". McKitterick, J. 3., "What is the Marketing Management Concept?" The following peOple were consulted concerning Questionnaire DevelOp- ment and Marketing Theory: a. 3. Rogers, Professor of Communications 6. Willard C. Warrington, Director of [valuation Services c. Richard Pfister, Assoc. Professor of Ag. Engineering d. Wilbur Dexter, Professor of Ag. Economics e. Cale strank, Deere a Company, Moline, Illinois f. Leo C. Erickson, Professor of Marketing and Transportation Administration ' g. P. G. Priester, General Manager, John Deere Plow Works, Moline, Illinois h. C. Olsen, lngineer, John Deere Plow Works. Moline, Illinois 16 APPENDIX 11" BASIC INFORMATION DATE Farm Machinery Use and Storage FARM NO . w Co. V1s1t No. NNR TELEPHONE ADDRESS CITY ZIP MRMAIANSWERING QUESTIONS?[:]Operator [:]W1fe of Operator [:JOther l. 2. LET 12. T4. 15. l6. l7. T8. 19. 20. Are you (operator) employed off the farm? BNO YES‘ Do you work more hours [joff farm or Don farm. me1what farm1ng operation do you rece1ve most of your 1ncome? . [jCash Crop [:]Da1ry [:]L1vestock [:jFru1t [:]General Farm1ng lbw many acres of cropland do you operate 1nclud1ng pastures and land d1verted to so1l bank? Uh1s 1ncludes rented land, orchards, etc. where you could operate mach1nery). _ ACRES. There do you store most of your farm mach1nery? IRVE Y0u_put up a new mach1nery storage bu1ld1ng 1n the last 5 years? NO YES!‘ a. What SIZE 15 1t? (w1dth) (length) b. Is there anyth1ng about that bu1ld1ng that you would change 1f you could? DO YOU th1nk that a separate mach1nery storage bu1ld1ng 1s worth the 1nvestment for you On your farm? EYES CL—ysm TO QUESTION 19 ME GET AN INDICATION OF YOUR PREFERENCES FOR A MACHINERY STORAGE BUILDING. What outs1de COVERING do you prefer? [3Alum1num EJSteel *If Steel or Alum1num EJWood [IOther Color Coat1ng or DUnf1n1shed What FRAMING Mater1al do you prefer?[:]Steel [:JWood [:]no preference DO you want a shop 1n th1s bu1ld1ng?DNO FYES Heat‘ed? [j NO [3 YES What style ROOF do you prefer? a . B Other (sketch) What DOOR ARRANGEMENT do you prefer? l' Il—‘T—l L] Lb __I [:C C] L d.J Li e.#J Other (sketch) Would you have any open s1des on th1s bu1ld1ng? How Many? or[___]None NOUTd you put up a mach1nery storage bu1ld1ng by YOURSELF[:]; or h1re a CONTRACTOR[:] DO you have plans to build or buy a mach1nery storage bu1ld1ng 1n the next 5 years? YES SKIP TO QUESTION l9 How big do you expect 1t to be? (w1dth) (length) or [:Jdon’t know. What k1nd of a mach1nery door do you want?[:]H1nged [:]Sl1d1ng [:JOverhead or [:jNo Door. What k1nd of LIGHTING? (check all that apply) [:]W1ndows [:JSkyl1ghts [:JElectr1cal E:]None Would you want any of the EJVent1lators E] Electr1cal Outlets following features 1n th1s [:lPart1t1ons E] Serv1ce Door bu1ld1ng? (check all that [JGra1n Storage [3 Concrete Floor aPRU) [jInsulat1on [] Other DO you plan any other farm bu1ld1ngs 1n the next 5 years? EYES (state) IS a cab on a new tractor an 1nvestment that you m1qht make 1n the next f1ve vears? N0 __JYES§ Wh1ch two features would be most important to you? (check) EJWeather protection [JAir conditioner E30verturn protection E]No1se and vibration reduct1on EJHeater — defroster [JCommentsz Which is the least 1mportant? [Ind1cate by zero (0)]. cans “ELI 1 QUESTIONS n. OIJIQ‘I'IVIS Obotinll. 1 v . a o ‘ 1 I o I u c u a O O A O. O I ~ ‘ a . I (N v .- l o . . . G; . o 0.0 u I u I IJA. .. b . . . l o I. .1 h. ’1 x I 0 0| I O a Q J a I a \ I a u n I 0' . a . ‘ u i \ -- 3 \. .( .u‘ f. .. ..ov . ... . ( ~ 0‘ l.n~i.._~p¥vl H 1 ... ..IC ..1. COMMENTS ON COMPUTER PROGIAH 1. 2. - IT The data is categorised by a series of logical "I?" statements. The data is initially stored in the array "X" and is then transferred to another array as directed by the "I!" statements. Percentages listed are based on the total number of respondents in the given category. The program is designed to accept only 0's and 1's as input except for the [AIM NUNIII. acreage and length and.vidth inputs. Category variables used in the program are as follows: 30 - Operator respondent RH - wife respondent IOR- Other respondent CC - Cash Crop tern DY Dairy farm 8L Livestock tern Iruit farm . 61 Several farms aso - 50 acre or less terns A200 iron 50 to!” acre terns . MOO from 200 ...oo acre this; ‘GT‘ - terns greater than 600 acres CCSO - Cash crap terns of 50 acres or less CCZOO- Cash crop terns firm 50 t4 39° notes 5. ‘ OCbOO- Oash crop farms Ire- 300 to §OQ semen; {_. OCbG' Cash crop {an ”sets: are; figs 1.- f. . f . l -- I ’ ‘ 1. ’.’ - -‘ ‘ ' i 7’ rhfihit’éfififihfl ” -_ T, 7'11'. . .3. - ' . " Mv‘ii ‘ - . ... » 1~ I1“ - (+1 1'" a II? I' I \ . . .' ’ V . ' .‘ . ." T be.- _‘ , '. .s ace a..3flii¢u'a = .v..a5¥*. ..3h . . so Mr 1cm .. ' ‘ .5. - .4 .. was «‘11,. .1- : ‘. we . ' -, - s. , p .1 ; OZLT’I “ ....' . _ . “‘ .f ‘. i, ‘v . .. -/ ' 1 \ 1) A, i 7’ .“.o ‘ 3 . " x .‘I >. it“ ’9 a ’ l. 2. 3. DYSO - Dairy farms of 50 acres or less DYZOO - Dairy farms from 50 to 200 acres DY400 - Dairy farms from 200 to 400 acres DYkG - Dairy farms greater than 400 acres SLSO - Livestock farms of 50 acres or less SL200 - Livestock farms from 50 to 200 acres SL400 - Livestock farms from 200 to 400 acres SLhG - Livestock farms greater than #00 acres [ISO - Fruit farms of 50 acres or less [$200 - rruit'farms from 50 to 200 acres [1400 - Fruit farms from 200 to 400 acres FTkG - Fruit farms greater than 400 acres Data Interpretation: The output from the program is of the same format for each category. ' The category is indicated at the tap of each page. The question numbers on the output appear as they do on the questionnaire itself. I The following isia key to be used in correlating the response with the prOper percentage: Operator Wife of Operator Other A ‘ 1 No Yes 011 far- On farm Cash Crap Dairy Livestock. ‘ Fruit General Average Acres 21 14. 15. 16. 17. 18. 19. :20. Outside Machinery storage barn covered other No Yes Avg. Width Avg. length Size material doors design too short concrete other Yes No Covering: alum. wood steel other color coat unfinished Frame: steel wood no pref. no Yes (heated: No Yes) Roof: a b c d a special other Door: Arr. a b c d a special special other Open side: 1 2 3 4 none Yourself Contractor Yes No Avg. width. Avg. length don't know Door: hinged sliding overhead don't know Lighting: Windows. skylights electrical none Features: (types in cansecutive order as listed) (l)- Vent.. (1) Part, (3) Grain . , Btorage. (4) Insul.. (5) Disc. Outlets. (6) service Door. (7) Cone. Floor, (81,0thsr Other farm buildings: Io lbs 1 (types in consecutive crib: as listed) (1) livestock housing. (1) dairy . 1 _ .tres stall. (3) poultry. (4) swine, ~;{:lw (5) horse barn. (6) milk house, ' E I (7) 8“‘B‘o (9) IhOP. (9) hey storage, QLT (lb) grain storage silos. (ll) other No Yes heather prot.. lettar~4pfroster. air conditioner. ' acts. and vibration reduction. connects . .' " .35.": . 7; ... ’s“ -' . r N . w - b i ‘4‘.) n . s~_ - . .-. o ‘ ‘ . I '4 : _ « ’hi [:3 P ‘. .5."~ 3.7: .r ‘3" - es ~ ‘ '- . ‘ a 4‘ x '. A s’ .' '. ; NH}: "js 3 2 . '. f ‘ s ~ ”.42 ~ j" .: , .' ~ ‘ \J . . .‘l:-~ s ' . ‘ .‘ 'b‘ a s it", ‘. ~ fl ._’ " e ‘l . . I (.{,_ .,- .,:.:3 ,_ . .. _ g , +1. -- “ K .-..“” 3;! . - » .-0.-,;¢; . e -‘ .1 ' e ’ t ~~t : .. {{U’ .‘ ""3 ' I. .e . ‘ s‘)‘ . I ' 9' 3. . - ‘. e _ '. own ohiooaooocopo..m~.x.u—. uu Ox 9 w . . com o» oo..co¢.m4..n~.x.n_ . cam op om..oo~.mn..m_.x.u_ a cow Op ooi.owammqinaqxama deem a _mom mom OMKOmZOQmooKNMoOKXooKNN\oxX¢oKONooxxooKNN\oKK#w 3 v a’- ”a... fKOhaaxxe.XFN\axxeox05.axxa.x>m\exxoaxo~as» w > x D m m o < x 3 0 ON 1 . h m > m m 2 m I U 4 I z a < mooxo otxxoost \tKXt.KOhoaxxaoKhNU a \exxon oxmmas > h H m m m > H z D m h < b ma.xm~.exxo.thxexxsoxo~.sxm xe.x~m \exxeaxoh .oxxs .xsm \ axxeoxon.s z < o H I U m zo.x=m.e< xxe.th\exxaoxo>oste.x~N\.sxo.coax~m\.sxa.omotha.xvmqosmovb4213; coco mu coco hZ—IQ .¢—.boooo¢>oooom>oocm>o.ccuuo~_ c~ occuuoacmouoomuuaehooouooxoxazxaozoxP zmdk man monh—QZOU ou—kmmhb Imau4>om .c..ou3>om ooom op daam.c .mn..oo.m .u~ .«o.o.ou4>o< .o.<»ux.~m.>au3>o< No~ o» oo.m.o .ua..-.x .m— .«oam.pou.m.pu .m.pu\.nn.>ou<>o . unzmpzou .zz.x..zz.>ofl.zz.>o ma~.—uzz «m. on oocm ch 00 .a..m. th ooRDlDbDlllll (EA) ""WNQLWW ~52!“ M‘iauMM 2595.: '. f" v5 '%'-1‘ ¢ ‘0 b 0.. -‘ ‘ — \"' ‘h "h 'Mfi fob-buh.‘ F’tb‘g‘rM” l-V‘" .- '- AAA-lu“ 0‘ ; ‘ww'a- . [wing-r «on.<~U\.moocomxauxccwxom comm o» oo.m.o .wm..ooox oun .ao.mn.ou4oo~>o< Ammoou3oo~>o< Nee oh oo.m.° .uq..-.x .m— o.~o~m~.»ou.mqohu .m~.ho\.n..oom>ouo m:z—~zou .-—oxo.mguoocm>3u.-_.oom>o mouagum- ~¢o oo comm Op 00 .~+.¢nqau4om>om .em.ou3om>om comm a» a@.m.o .mm..ocox .mu .~+.mmoou4on>o< . Ammoon3om>a< NN: o» oo.m.o .um..-ox ohm c.~..-.»uu.-.»u Andopux.m~oom>ouo wazupzou ._~_.x+.~_~oom>3u.-~.om»: mo..~u__~ am: so comm 0» oo .~+.mmooudo:>om Acevou3o¢>om ccmn Oh ow.moo ouqo.oo.x .m— ..~+.om.auaoa>o< .om.ou3oo>o< Noe oh omamoo owqu—vi yum c.~+.om.huu.omopu AON.»U\.nuooo>ouo uazmhzou amm mom «om com was an: mhn chm men cow mmn omn A¢~HVX¢A¢~H.O¢»ouaequvoo>a mcao— u¢—~ Am: oo comm Op 00 coo .~o.mnocu4ooe>om .mn.om ecmn oh ooamoo .w4o.ooox .m— ....hnoougoo¢>o< .fin.ouzoco>o< ~o¢ o» oo.m.o ammo.-ox vuu c.~+.on.pou.odopu .o~.»o\.m—oooo>ouo u:z_azou .m—~.x.«Ma—.oce>ou.n—nooco>o mc~.~MH~n .oo oo . comm o» oo aao.ono o» oo.m.o .uo..-.x on. o....~m.aou.~nopo .mn.»o\.na.oonouoo.4>om.3>om..oo.n_ ~ux..x.>o..4>o<.z>o<..o~.oono..n.>o..<»o..-.~u_..ooaoo.oooo ozoza .m..oz.oooo ozoxa .mo~.oou4..4.uu..ooon.3oom..oo.m_ ~ux..x.uo..mou<.:oo<..o~.o~un..nouu..oou.z~.oo>o .oo....ooopo\.xo.ooo>o.u.x~.ooo>o oo....ma.»o\.zo.oom>o.u.z_.oo~>o oo_...oooaux.z~oomaoou.x~.om>o oo....o_._o\.xoooooo.u.z_.ooou oo....onoux.xo.ooouoou.z_oooooo. oo_o..o.._o\.z_.oomuo.u.zoooomuo oooo..mooou\.z_.omooou.z_.omoo .oooo..m..auxixooopooou.xooopo< .oo_....a.oo\.x_.ooo<.u.x_oooo< .oo_...o..»o\.x_.oo~<.u.x_.oo~< .oooo..ooouxizooomQ soc~aAa¢~h0\.¥~.UU.NA¥~.UU cacao.anvbo\.¥uomom.uaxnvmoz mucus.«Moh0\az~.3m~u.¥~W)m nfi\~u\0¢ thlhtO GONJIDsfl> Zbk 0900 000 UQ<5 zo..uoo>om.3oo>om..oo.mmuz..z.oo>o._ .moo>o<.3oo>o<..o~.o_un..nooo>o..ooo>o..~_.~uo.._.oo>oo.oooo ozoza .omoooz..~oo ozoxa .ooo..~u4..oooooao..Joooaom.ooo¢>om..mo.n~uz..x.oo¢>oo.uooo. >o<.3ooo>o<..o~.o~uw..oooooro..o..4oo~>om.:oom>om..mo.n~uz..zooo~>o..Joom. >o<.zoo~>o<..o~.o~nn..pooo~>oo.oo.oooo Hzoma .o_.auz.o~o¢ oz_za .ooa.~ou4..noom>o..4om>om.3om>om..oo.mmuz..zoom>o.~ .4om>o<.xom>o<..o~.o_us..ooom>o..o..m.._u_..ooomao..oooo pz_za .aooaoz.m_oo pz_ma .mo_._ou4..4ooouo..4o:oom.zoooom..oo.mmuz..xooooooo .Jeoou<.zooou<..o~.o_uo..n.oouo..mo<..xm.o.oc.ou zoo.) .oooo..xm..o o...meom.xo.o.m m o.\\.xm.oo o...mcom.xm.o.: o.\\...oa.ou mmmoo oooxmoo o.em.o.m oo omm .\\.xm.oo o...me.m.xm.o.m o.\\.xm.oo ..o.mt.:.xm.o.. o.\\.xm..w ... ~.ma.n.xm.\\\.omooomma mo_moazooo.xmm.o .oz zo_ommoo ..o:_.ooo ozooa oom o» om o.m_.ozoma ~o moo mma .mo mo mmoa om o.m—.ozoma «poo mm-om~o~z~m_.zo mxxxm xx xx XX I xx xx xx 2 x o o x o o 2 xx xx xx 11 in. -'_‘q 3 “J, "In t.-— “‘§r -. 9938-!- an}. - t, q-a‘, «1:. 5r1LM-3; -\~.‘ -. x .2 ...- -— "’,. ’1‘ .. .4: .t' .s *d‘fln-fi.‘ "HI-"M'A flux.“ 1.) ...-1. flannmw' 1“,... .-- r , w' u A .N' ......zao’ '_' “a. s .. Up‘ t“ wzm< o.xo u zooxx1.oxo .ox m .m.x: .o.om .ow UN o.oo o.no .nx .o. . oxmo o. o. .o. :.ox .mx .mn oom n.“ o. oooo o.o o.m o.x x.om .Hw .o. u. x. x.x o.m o.o o.o x.oo .ox Wm n.om o.xx m.o: m1om .m w m.n. o.xo o.o 1 .x mm x.o« o.mm :.x o.on n.oo x.mx .m w x1ox H1xo _ .o W o. mm :. n.x , x. - x. - n.: M o1md11a1mHmzu414dxd11111d4wNIIMIManml1oox n.mx mimo .n W - o.ox a. m.on o.oo o.mx . .o W o.omm . mwmox moozmox. .n cm can“ m0m m1om muom o1mm .N WW - H . 1 o.ox m.xm o.mo n.no . 1m mm. m.» o.oa o.ox m .1 m monommm maoooozoo .oz zo_ammoo mm-mx .n ”oom mom noon 411m o.n.m 1N . . m.ox x.xm x.om m.oo .o .o.o o.o o.ooo .qo “.ma «.mm m.o o.:x n.ox m.ox o.oo .om o.» o.» o.“ owa o.a o.” o.. o.x m. o.m o.» u.om n.ox .ox oxo now» mnu oonw. oqa ole. m1x o.n .ox . o.x o.ox m.m o.m .x« n.: :.n o.o m. .ox qu. o1mo ..zxozw411oxo n.mn u xeoxx .ooo .mx . o.mn n.ox .oo1 o.:m o.on .oo .mxnn o.o o.o o1x :.mx .mx com o.» n. max x1oa o.x o.m. o.om .xx o.o o.o n. o.n o.mx n.: o.om .ox o.ox ~.o 1o.om o.om .o. :.m n.a: m.x .o. :.nx n.5x :.x H.nm x.o o.ox .x mooo m.om «o1 o.o omo o.o m. m. o.o o.» llqéun. u xxuzMJI+o>< o.mn o madamlqaxq. m.om n1mx 1m. . m.mo o.o x.:o o.on o.mo .o. o.nox . mwmox woxzmox .n o.~x o.m o.om x.nm m1mn .m. . . n.nx o.o: o.om n.m: .x. . o.o o.oox. o.o moummummmfifiu... .2: :3 $3.55. “mozumxwomm. l-‘ '_,--l .'q...-- s. --q.‘.,?-gu;. I'm ‘5‘...- F L-‘4_a—"\ ‘2'?!”- '-':1.-s *1“ mom o.oo o.o« n.nx x.m o.nx m.ox o.oo .on ooo o.» o.o on. o.o o.o o.o m.m_ o.o o.m . o.o . m.ox o.om .oo ooo .1o1ow x1o1 «an x.m .o.o o1o o1o .oA. . o.o o.ox x.m x.m .ma o.o ham x.o o.o .oo x.a1111111d4dd11u1mxmzmq11o>< o.om n zoo”: 1oo:. .wx ”.mn o.ofi .ow x.om m.ox .ox moon omo o.o o1o o1n .ma. pom o.o o.o x.o m.ox x.m :.m o.oo .xfl o.o o.o o.o o.n x.m x.o x.om .oo . dnox oooa o11m n1om .o x.o. :.mn :.o .P o.xm m.oo o.o o.:m x.o m.no .k x1om o1no .o o.o ooo o.o o.o o.o - o.o x.m m.mm . mxuzu414mx411111d4mu11u1mxox111oox o.ox m.oo .o o.ox o.o x.om o.xo m.nx .x x.nmm . mmmoo moxomox .x modal .m.m 11m1om .. o.ux m1no .m. a . . x.o o.xo . m.no x.:m .w o.oox oeo o.o mxuommm manoomtou mxzmozoammm zmxoa an I .02 zo_»mm3U some (poo mm-z0 0.00 . 0.0030.0>< .00 m 0.00 0w00 .0m m 0.00 0.00 .00 W 0000 \0. 0. 00 0.0 .00 M 000 0.0 0. 0000 0.00 .0.0 0.0 0.00 .HW , 0. 0.0 000 0.0 0.0 0.0 0.00 .00 _. 00-00 0.0 0.00 0.00 .0 . 0.0 0.00 0.0 r .m 0 0.00 0.00 0.0 0.00 0.0 0.00 .0 0 0.00 . 0.00 + .0 W 0.0 00 0.0 0. . 0.0 0.0 0.0 M 0.0amxw mmuzu4|40><. 0.00 a 00000 40>< 0.00 0.00 .n w 0.0 0.0 . 0.00 0.00 . 0.00 .0 0 0.000 a 00000 00000>0 .0 .M 00 0.0 a¢0 4.0 0.000 .m .M 0 . n . 0.00 0.00 0.00 . _ 0.00 . .0 .M 0.0 0.00. 0.00 m 0040000 000000000 .02 20000000 0:0«0 0000 x0<0 000 2000 «000 0000002230 oz_000000 0;» 000 0.00 0.00 0000 0.00 0.00 0.00 . 0.00 .00 0.0 0.0 0.0 000 0.0 0.0. 0. 0. 0.0 0.00 0.0 0.00 0.00 .00 . ow 0.0m. 0.00 0000 0.0 000 000 . 0.0 .00. . 0.0 0.00 0.00 0.0 .0m. 0.0 0.0 0.00 0.0 .00 - - 0.0 00n0 ..xhuzm0 .000 muav a 1000: «00¢ -00 . 0.00 0.00 .0w. 0.00 0.00 .00 0000 0.: 0. 0.0 0.00 .00. 000 0.0 0. 0.00 000 0.0 0.00 0.00 .00. 0.0 0.0 0.0 0.0 0.0 0.00 0.00 .00 0.00 _ 0.00 0.00 0.00 .0. 0.0 0.00 0.00 .0- 0.00 0.00 0. 0.00 0.00 0.00 .0 0.00 0.00 .0. 0. +, 00 0. 0.0 0. 0. 0.0 0.0ulldIrHuZMJl+a>< 0.00. 0.00000 .00< \0.0N. 0.00 .0. .. .... .0 .... 0 4/ 0.000 . 00000 0000000 .0 . . 0 - Non mumam 000: “N tlllllllrllllll: 0 0 . n.n« 0.0llllllilWHWWI . v.0: . .n 0.0. «.m0 0.00 (llllvlwtwrrIWIu .Illttntlrl . ,. 1: 0043000 mhumomtou mzmz0< 0.00 m x0003 .000 .00- 0.0.. 0.00 ...W a 0.00 0.00 .00 0m 0.00 vq c. 0.0 0.00 . .00. _m. .. 000 o. 0.0 0.00 0.0 0.0 0.0 0.00 .00- Ww 0.0 0.0 c. 0.0 0.00 0.00 0.00 .00 W: 0.00 . 0.00 «.00 0.00 qm. w. 0.0 0.0. 0.0 .. .0 ”W 0.00 0.00 0.0 0.00 0.00 0.00 .0 .M 0.00 . 0.00 . .0. 0 0.0 00 v. 0. e. 0.0 0.0 . qquullulmHuZMquu>< 0.00 . 0000:..00< v.00 0400 .n .W 0.0 . 0.0 illrrm“mmlrlllrsmmm0. m.0“ .0 0.000 . 00000 000000. .0 c . . u an: «N 0 u 0 . Ouucd. a c _. . . O . 0.0 0.00 . 0.0.. 0.00 . W o.” m..flN . 0.?“ 00.500: 0030 too a... m.mwzm.w.wo0wmu.m . t . . mzz< c.0n . tan“: ‘u>< o.vfi v‘mm qm v.0“ o.c . . )l: Eek 0.0m“ . mmuuq mqum>q .M . . cfi cocxlllllllldba m¢d|IIIIIIJdW n.o o.NMIIi\IIIIWMMHlIIlIIln.Hm . MW m.' v.ofiv v.mm XIIIIIIIIIIIIIII 1: .02 Zn: hmMDO J m» bwmm whumomtou 20mm < a.¢n . IHQmeam>< .ma . n.on , 0.5HA .ww v.mm s.an .na Nuan m.« «. afia N.«a «Nw ”km 0.0 0.0 ¢una o.o n.a 0.: m.mm .Hm o.o v. c" ~.~ n.oa m.e m.on .oa o.v~ uaad‘ afien owma .m a. H.m¢ H.n .m 0.0a n.v« o. c.nn e.na o.n .n \Idno¢ odnnx. .q v. - c. o. 5.0 . - s.~ «.nn «u zaazu4I4qmqlllllnqmmlluleqqm14a>< c+afi «40¢ .m a.” o.a JIMhmwttttltrr©.Qm. m.nfl .5 ~.w°~ . mmmu. muqmm>< .m _ . . 5 .3. a; a; .w IIIIIIIIIJIIII‘ . u.ou n.an Itillllmwov m.on .H 0." «.mw. m.on whaammm mh~momtoo mxz< 909 9099 .9. ... .... 3.. . 9.9 .. linttttlttttltttrrr. _ . 9.99 a 99999 9999999 .9 . . n moon ~90 o.cn 0N .Illlllllllllllllllll tlll1l|lI\llllIIIIIIIIIIIIIIIIIIIIIIMHW n.vm I|\|Mhmmll||lw m.mn . .9 o.m myom 9.90 9993991 m99momzoo AIMI¢<9 mum; mo mmu< no tau tort <9< a»A¢ a :FQHz .u>« .m. . a... o.o~ .vw . ...” ...» .n. 1v... ... “J m» at} .an ” o.» o. o.n~ ”rad ... 0.0 o.o~ ..fi 0.. 9.. o.~ ... 0.0 ... m.om ... moan nonwr ....mm. NJ“ «a c.o a... m... .w ~.- ...» o. o.mc a... . a... .h N qvnw ~.v~ .q M c. . o. o. 0.. o. 0.0 a.» W a.qq||q|nHuzMquu>< a... . flqum|4u>< m.«m +,~.mm .w W m... 9.. lnrmwmmtxtrtnnrqum. M...; .V . .mut[ a.cam . ammo. moqmm>< .n . . jjwm a”: m”: ...5. .....W : «.mLOIHI . 055 . .W N.n n.0a. w.om arm:mwuwmmwowfiwfinwuwmw tom... :3 mmNeqtam ....muxwwfiwfims "-J. .---.. . ...-mi Wmem yin-1111.7 --. Anagram m‘w ’-'--*io‘ MWm-mlvi-‘A' ‘- c». 5..» 5.~5 o.o~ n.nn o.on n.5v 5... .ow ... .... ... 5» 5. .... ... N... 6.. n.o . 5.5 5.mn ..oo .5. cu. o.- «.GN «cm. a... .m.n 0.5 o.v .nfl v.a m.a~ a... 0.5 .5w o.~ o.m ”.0. o.o .0“ m.» ~.~5 . 1.02m. .u>< H.~c n x5a.3 ~u>< .mw n.o. . o.m~ ..a c.m¢ «.mn ... Guam ... ... a.q. ~.N~ «Nd . 5.. 0.. 5. n..~ .... a." . a... ~.:m ..fi 0.. 5. o.o o.v 9.5 m.~. a... .0. w ..u. H... ..mm «.5. .5 . .... o.~m 5.5 .m . v.5. v.mn 5. a... ~.n. m.~. .5 ..5m o.~5 . .q 5. 5» 5. ..N 5. 5. n.c - o.n5 . 1592.4 .o>< a... . ..o.z .o>< o.m~ o.m5 .m o.m o.o IIMHMMIIIIIlllmeO_ . N.m .w a...» . mmuu. mu.mm>. .n . H J/E . 5.3 . n.2,. 55m .w . 2 1... L . m... , .. m.n «sad. n.no 9.5.... wwwuunmmw mmwmomumuv: :3... «5.... mm~3< a.~n . 1...: .a>< a.” , ..ao .n ... ... . F .... .... .. a... ..mmmoq mc.. .5 . . . o.a o.» a.a o.cofi .N 5 .IIIl1\1\‘\IIIrIIIIIIIIIIIIIIIIIIIMHWIry 5.mM|1||||11wwmm1. _ . 5.mn . .. e.n o.m~ . ...5 .02 zon.mm:o n.43mmm m..mou:ao mmN~m4 . 5.5 5.55 . - . . . 5.55 5.5 5.5. 5.55 . 0.55 . 5.555 a 5555. 555555. . . . 5.5 5.5 5.5 0. 5.555 : 5.55 5.55 5.05 5.55 . .5 5.00 n O 0 0 o c N . QQNfl nOd. - \ 3.0.... “.3.“ o\ I i“. K. O c w I\ a an Iii-fill...» . V 1 0» I. 5 \ x . , - -.u -1 , . ... . 0'! Illlullill I'll, I!“ ll! "\|IIIII-|l I «liar us. - o.om m.fi~ o.¢n u.on ”.00 .nm 0.9. 9.9 9.9 9.: . o.o 5.0a “.mo .oH ouxd n.n. v.c Qua v0c -ma a.o m.o~ n.oa 5.” .NM . 0.0 ¢.o ~.o« 0.0 .0. none . thuzm4l4d>< «.mw uerQN: 0m>4 .mfi 0.9m o.fl~ .efi 0.". n.nn .n. a.: c.w a.a d.mfi .NAL 9.9 m.«« 0.” «.0 0.5“ .afl 9.0 m.n v.0 a.“ n.m¢ .oa woe: nws _ monm u.«« .2 o.o o.~m m.~« .m 5.0“ n.a o.¢c m.«fi H.¢H .5 m.om «has .c a». °.c o.m o.o - a.“ a.o~‘ . mHazu4I4madllllququIMImqumlqm>c m.«~ m4mn "a m.au a.o ~.o¢ m.ao _ . 9.0 .c n.oo~ . mwau. w04mw>4 .m m . . n.“ n.“ «.md ., H.m 0.00. 1* o.~d 5.0a A o.o~ . m.os . L c.~ 5.6.". 0.09 [_ ‘ ‘ . ‘ 3.9.." C‘wc,‘ 0.3.H , N-flz flit .x‘CN devs~ I! Y I q n ......... (.1. . ~ \ - 4 is I .\ [Ill-...; ..... r1 1-.I . I’lll cll'ZI ‘INI.’ i‘! '1! Qt lug-.5.“ 0 990 9.90 «.00 9909 0.00 9.00 0.90 0.00 .9w m 9.0 0.09 9.9 999 9.9 9.~ 9.9 9.9 9.0 9.9 9.0 0.00 9.09 .09 M 999 0.00 0.09 0.90 0.09 9.0 9.9 9.9 .00 M . 9.9 0.90 0.09 9.0 .bm .m 0.9 0.99 0.09 9.9 .09 m. 0.0 0.09 . :902m9 .0>< m.~0 a 1909: .0>< .00 M 0.90 0909 .0w M 9.00 0.00 .09 . 9900 0.0 9.0 9.0 9.m .09 0 990 9.9 9.0 0.09 0.99 .9.0 9.9 0.09 .90 W 9.9 0.9 999 9.0 0.0 0.99 0.00 .99 W. 0.99 0.99 0.00 0.00 .m w 0.09 0.00 0.0 .m M 0.0 0.90 9.9 0.00 9.0 0.09 .9 M 0.00 . 0.00 .0 0 9.9 999 9.0 0.0 9.0 0.0 0.0 w 0.09 . :90z09 .090 0.09 . 0909: .090 0.09 9.90 .w W 9.0 0.9 0.90 0.00 . 0.99 .9 m. 0.990 . 0009. 00:0: ... w“ . . . 0.0 0.0 ¢.m 9.0 0.009 Id 00o.“ 0.0 05H .09.; . 9.0 0.99 9.90 090 0.09 9.9 909 0.00 0.09 0.09 . 9.00 .90. 0.09 0.0 0.0 090 0.9 0.0. 9.0 0.0 0.9 9.0 0.9 0.09 9.00 .09 - 900 9.0 000 000 0.0 0.0 0.0 0.0 .09- . 0.9 9.0 9.0 9.9 .99. . 9.9 9.9 9.9 9.9 .09 0.0 a... n .15sz .92 00 n 1.90; .000 .md. . 0.00 9.9 .09- . 0.09 0.00 .09 0.00 0.9 0.0 9.0 0.9 .00. 999 9.9 9.9 0.9 0900 0.0 0.9 0.09 .99- 9.9 0.9 090 0.09 9.0 0.09 0.09 .09 0000 0.0 _ 0.09 0.00 .0 9.9 0.00 0.09 .W 0.00 9.9 0.9 0.00 9.9 0.09 .9 9.0m oqmv .3 9.9 0.9 0.9 9.9 9.0 9.9 9.9 0.. 0 190204 .090 0. n 0909; .0>< 19.9 9.00 .0. . 0.00 9.9 9.0 0.00 0.00 .0 9.00 a 00099 0990099 .0 . . . 0.9 0.09 9.9 9.909 9.9 .0 . - . 0.09 0.00 _ 9.90 . 0.00 . . 0.09 0.00. 0.00 l/‘X 9.1)III I n» .r l Ilia ."G‘E . . 111. .39 09.0.7-7 ‘- U‘fl v“ W. 999 0.09 0.00 0.0 0.09 0.09 0.90 0.09 .p M 0.0 0.0 0.0 990 0.9 9.9 9.9. 9.9 9.9 . 0.0 9.00 9.09 .0 W 099‘ 0.99 0.99 0909 0.9 .9.9 0.0 0.0 .a MW . 9.9 0.09 0.09 0.0 «w M 0.0 0.0 0.09 9.9 .0 W 0.0 0.00 0 090209 .090 0.90 a 09099 .090 .n w 9.90 9.00 .N W 0.00 0.90 .0 m 9.00 . 9.0 9.9 0.0 0.90 .0. W 090 9.9 9.9 0.09 9.9 0.0 0.99 9.00 .9” .. 9.9 9.9 0.0 0.0 0.0 0.09 0.00 .9 0.90 0.99 9.00 9.00 : 0.0 9.00 0.0 r .m 9.00 9.00 9.9 0.90 0.09 0.90 : . 0.00 9.09 .9 9 9.9 999 9.9 0.0 9.9 9.9 0.0 W 0.00 . mwuzm9 .090 0.90 m|m90920.09< 9.00 0.09 .9 M 0.09 9.9 9.00 0.00 0.09 J W 9.009 n 0009. 0099099 . W . 0.9 9.0 0.0 0.909 0.0 .IA ... 0.09 9.0 0.90 0.09 . _ H ... 0.99 9.90 099 9.99 0.90 9.09 9.09 9.90 0.90 9.00 .99 0.0 999 0.9 0.0. 0.9 9.9 9.9 0.09 0.99 0.00 0.09 .99 999 9.0» 9.00 0900 9.00.. 0.0 0.99 9.9 ..09 9.9 0.00 0.90 9.99 .99 0.0 .9.9 0.90 9.9 .09 9.0 NduNIIMIHHuaMJI4u>< 0.90 a 1099: .090 -09 0.00 9.00 .mm 0.00 9.00 .09 9000 9.9 9.9 9.9 0.99 .JN9 090 9.0 0.9 9900 0.99 .9.0 0.0 0.99 .99 9.9 9.9 999 0.0 9.99 0.0 0.90 .99 0.00 0.0.9 0.90 9.00 .9 a... n9~n m.~a .9 9.09 0.00 9.9 0.90 0.09 9.09 .9 «.90. 0.90 , .0 9.9 999 9.9 0.0 9.9 9.9 0.0 .0000 . mHuZMJI4d><. 9.90 ujfiud4dl4qm¢ 0.99 9.99 «9 9.99 9.9 . 0.99 9.90 0.99 .9 0.999 9 mme9 wa9mw>9 . . . 9.0 9.9 9.9 9.999 9.9 J 9.9 0.0 . 9.99 0.09 . . ' n.~. n.- 9.2. t.‘ I I I {ll .II’I. 9 firm 099 9.90 9.90 0.09 9.90 9.00 0.00 0.00 .90 9.9 9.0 9.9 999 9.9 9.9 9.9 9.9 9.9 9.99 0.09 9.00 0.00 .99 999 9.09 0.09 9909 9.99. 0.0 9.0 9.0 .09 . 9.9 9.09 0.09 9.0 .99 9.9 0.0 0.09 9.9 .09 . 0.0 0.09 0.10999414990 9.00 0 09990 .990 .09 . 0.00 9.90 .0m 0.00 9.90. .09 9.00 9-9 9.9 9.9 0.90 .99 990 9.9 9.9 9999 000 9.9 9.99 0.00 .99 9.9 9.9 9.9 9.9 9.0 0.09 9.90 .99 9.90, 9-0 9.09 0.99 .9 9.99 0.90 9.0 r .0 0.09 0.00 9.9 9.90 0.99 0.09 .9 0.09 9.00 .9 9.9 909 9.9 9.9 9.9 9.9 9.99 9.99 ..mHuzMJ14990. 9.90 ..naaqni.9>0 0.00 0.00 .0 . 9.0 9.9 0.90 9.90 9.0 .9 0.900 . 0009. 09.9099 . . . 3! add! 9.0 9.999 9.9 J 0.09 0.0 9.99 0.00 - . If! . 9.9 9.0 9.00 {/If ) 0.1)!l: yr . "‘"~ ch v—v-v- ml“ 19wa .- 90.. . . 9.9 0.0 0.0 9.0 9.9 9.9 0.0 . 9.09 . .90 9.99 9.9 9.9 999 9.9 9.9. 9.9 9.9 9.9 9.9 9.9 9.99 9.99 .99 q 04“: nor. mod 99.0 000 m»... 000 aoq . _ 0.0 0.0 0.0 0.0 .9. 0.0 9.9 9.9 9.9 .0 r - . 900 9-00 0.9090319519313144 . 9.09 9.99 .0 9.0 0.00 .0 0009 9.9 9.9 0.0. 9.99 -9. 090 9.9 9.9 090 990 9.9 9.99 0.09 .9 9.9 9.9 9.9 9.9 0.0 9.99 0.09 .9. 0.0 9.0m 9.99 9.09 .9 n.» 0.00. 9.9 ... 9.0 9.0 0.09 9.0 9.99 9.0 3 0.00 9000 . .. 9.9 999 9.9 9.9 9.9 9.9 0.0 9.90 . 199204.0090 0.90 0 0999: .900 9.09 0.00 4 9.0 9.9 9.90 0.00 0.00 g 0.90 a 00090 00900>0 ; . . [0.09 0¢0|I\ .04999 9.9 9.9 14 _ . - . 0.0 ...: 9.99 . 9.90 ._ Ill 4 . o.a 5.0N. n9ns xxxxxx .p: ~0‘ U" 9 nus ' --. m 99 9.0 0.99 099 9.0 0.99 9.09 9.90 .9 9 9.0 0.9 9.9 099 0. 9.9. 9.9 0.0. 9.9 0. 9.0 0.09 0.00 .9 M 09 9.00. 9009 .0999 0.9 .040 0.0 0.9 . M 0.9 0.09 9.0 9.0 . m 9.0 9.0 0.99 9.9 . m 0.0 0.90 . 099209 .000 0000 0 09090 .090 . M 9.00 9.99 .0 m 9.09 9.90 .0 w 0900 9.9 0. 0.9 0009 .0 m .99 0. 9.9 0909 9.0 9.0 0.99 9.09 .9 0. 9.9 9.9 09 9.9 0.09 .9.09 0.00 .9 m. 9.90 0099 9.90 0.99 x. m 0.0! 0.90 9.0 . M 9.09 9.09 0.9 0.90 0.99 9.99 . p 9-00 9.00 m 9.9 + 999 9.9 0. 0. 9.9 - 9.0 W 9.90 . 00uzm4I4dHdIIIIINdunllulqu9ulqd>0. 0.09 9.9% ._ W 9.0 9.9 0.90 9.00 0.09 . W. 9.999 0.00090 0000090 . Wm . . 0.99 0.9 0.999. 0.9 0.9 . 0.9 9.90 0.90 _ 9.: ... m 9.0 99mm 9.90 .Ofiy? ' LV"“’ ..- -..h M'- v—O-‘n 9 o ' ”f" 1"?“ 0‘ ‘fv’bwu: mid“ tum-9.3 — xmflfio dia"g:-r=u.-?’..‘tm ‘9', ’99». «9' .9 wwwflibim’h— *fir- w ~ 4a.- fl—M .- 999 0.99 . 9.99 0999 9.9 0.99 9.09 . 9.90 .9 9.0 9.. 9.9 999 9.9 9.9. 9.9 9.9 9.0 9.9 9.9 9.99 9.09 .9 999 \0-mm 0.99 owaw 9.9 . 9.9 . 9.9 9.9 .0 9.9 9.99 9.99 9.9 .9 9.9 n.~ 0.09 . 9.9 .0 n.o o.~n u mHaaM4|4d>< 9-09 m :9n9z\.u9< .n m.on n.9m .v o.9~ 9.09 .n «.99 n.~ 9.9 . now ovcm .m 999 9.9 . 9.9 0909 0.9 .9.. 9.9 9.99 .9 9.9 9.9 999 9.9 . 9.9 0.99 9.99 .9 w dAMn 9.9 c.9v 9.99 : 9.9 9.00 9.9 t 0.09 0.09 9.9 9.09 9.99 9.09 . 9.99 . 9.901r .. 9.9 9.9 -9.9 9.9 9.9 9.9 - 9.9 9.99 . 199209 -990. 9.9m . 1999; .a»¢\ 0.99 «.99 xi 9.9 9.9 ._ 0.00 9.90 . . 9.9 . 9.009 0 09999 9991999 . w . . 0.09 9.9 9.999 9.9 9.9 \\:¢ mil, 9.. 9.9~ . 9.9m . _ 9.99 . . mill, 9.9 9.9 . 9.90 . . V. ., 9-3.1.... . —— 9.99 9.99 9.99 9.99 9.90 9...“. ...? M 9.0 0.9 9.9 999 9.9 9.9. 9.9 0.9 9.9 9.9 0.09 9.09 9.90 .9 w 0 999 0.99 0.99 9999 9.9 9.9 9.0 9.9 .9 .w . 9.9 0.99 0.99 9.0 .9 .w 9.9 9.9 9.99 9.9 .0 w 9.9 9.00 . 999299 .9>9 9.09 . 99999 .999 .w . . 9.09 0.99 .3 w . 9.00 9.99 .9 9 9.9m 9.9 9.9 9.9 9.99 .9 w 990 9.9 9.9 9999 9.99 9.9 9.99 9.99 .9 W 9.9 9.9 999 9.0 n.99 9.9. 0.9.. .9 w 9.99 0.9 9.99 9.99 a 9 9.0 9.09 9.9 r . 99 9.09 9.99 9.9 9.99 9.99 0.9 . m .» x9.9m 9.99 b a w. 9.9 999 9.9 9.9 9.9 9.9 , 9.9 _ M «.99 . 999299 .999 9.90 . 99999.4999 9.99 .9.99 . W . 9.9 9.9 9.99 0.00 9.9 . W 9.990 . 99999 9999999 . 9W . . 9.9 9.9 9.9%? 9.9 9.9 ._ “Mr 95 a.» a.” 0.00 .1Il. ....ml 1|! . 9.9 9.3 ”.3 fig I: 5.13.15. I - g .. '59: 94.1 , , ’.-v WM; «,3. u 1' AWW9h‘ ’ . .- 4‘: g. 9“.“ 'O-‘-‘ - ”B, «*thwfg 5,.- -— :9 9.9 9.9 999 9.9 9.9 9.9 . 9.999. .9.. 9.9.9 9.9 9.9 999. 9.9 9.9 . 9.9 9.9 9.9 9.9 9.9 9...: 9.99 .2 999 909 999 999 999 909 9.9 99d. .99 9.9 9.9 9.9 9.9 .3 9.9 9.9 9.9 9.9 .9. 9091. 9». a :99au4|+dddllllld+dllldlflWd49 .994 .m 9.99 9.9 .9M 9.9 9.99 9T 9999 9.9 9.9 9.9 9.9 .9. :9 9.9 9.9 9.9 9.9 9.9 9.9 9.99 . .99 . 9.9 _ 9.9 9.9 9.9 9.9 9.9 9.99 .9. w 9.9 9+9 9.9 9.99 : .. 9.9 9.9.9 9.9 .M 9.9 n.vu 9.9 n.v« 9.9 9.9 ._ ~.m9 9.99 . 1 9.9 999 9.9 9.9 9.9 9.9 9.9 _ 9.99 . 999299 .9>9 9.99 . 99993 .9>< 9.99 9.99 3 9.9 9.9 9.99 9.99 . 9.99 : 9.999 a mwro< mu< 3 9 9n9 9.999 9-9 . 9.9 .9.9 i: 9.9 n.v9 n.¢9 . «.mm . .02 20.9mmaa mmN~m93: . IV); 1,- I Qu‘m’w-flur' ~ C u' ‘» “3.2- 9.." "*‘ “‘ ’ "m W%M9 ..n 9.99 9.9 .9. 9.99 9.99 .9 .Iqqua 9.9 9.9 9.9 .9.9 .N 9 999 9.9 9.9 9999 9.9 .9.9 m.~9 9.99 .9 9.9 9.9 9.9 9.9 9.9 9.9 V 9.99 .9 w 9.99 9.99 . 9.99 9.99 y 9 9.9 9.99 9.99 r .9 9 9.99 9.99 . 9.9 9.99 9.9 9.9 . 9 9.99 . 9.99 . 1 w 9.9 - 999 9.9 9.9 9.9 L 9.9 - 9.9 9 9.99 - anaM4|+a9< 9.99 n 9994914999 9.9 9-99 . m 9.9 9.9 . 9.9~ 9.99 . 9.9 . “m9 . 9.39 a mum": mo< . WM . 9.9 9.999 9.9 9.9 , 9.9 . NM 9.9 9.99 . 9.99 9 . 9.99 . . m; 9.9 9.99.. 9.99 thamum mbnmomtou 9:999 .9399 mzu< 99~ 99 99 an .92 29999999 torn < 9.99 . 99999|49>< 9.99 9.99 .9 W . 9.99 9.9 9.09 9.99 9.99 .9 W 9.9~n u ammo. 99.9999 .9 ...9... 9.9 90999 9.9 9.9 9T9. .m “w . . 9.9 9.9 9.9 9.999 .9 unw‘. \\~ \ \. a. A“ . ‘gsh- ...-u... H .. wt- . m. a. “.9.—...: -'mq.‘c&.\.M‘¢. 93...: o". 4: 1.495961%. -' 9.99 9.9» 9.999 9.9 9.999 9.9 9.999 . 9.9 .9 9.9 9.9 9.9 999 9.9 9.9. 9.9 9.99 9.9 9.9 .9.9 9.99 9.99 .9 999. ‘maquanlllllllaquu n.9n 9.9? .9.9 9.9 9.9 .n . 9.9 9.99 9.99 9.9 .9_ 9.9 9.9 9.99 9.9 .9 aqq 9.~9 - :HdflM4lqu>< 9.9911m.:9d91 .999 .m. 9.99 9.99 .w 9.99 9.9 .n 9 9999 9.: 9.9 9.9 9.9 . .N. W_ 999 9.9 9.9 9.99 9.99 9.9 9.9 9.9 .d M 9.9 9.9 9.9 9.9 9.9 9.9 9.99 .9 M; 9.9 9.99 «9.99? n.n9 a 9. 9.9. 9.99 9.99 r .. u 9.9 9.99 9.9 9.99 9.9 9.99 . n.nn «N.99 . s W 9.9 , 999 9.9 9.9 9.9 9.9 9.9 9 9.nq||u|nuuzu9|4asd‘rx 9.9m . :9a9xqux4 9.99 9.99 . W 9.99 9.9 9.99 9.9 . . 9.9 . 9 - 9.999 . mmm9< 999999. . ......9. . wow ‘39?. qva‘. a": 993.9 ? .w 9.9 9.9 9.9 . 9.999 . .5 ,v}._. ... ~91 84". 999 9.9 9.9 9.9 9.9 9.9 9.9 . 9.99 .9. a 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.9 9.3 9.? .o. M 999 9999 «3.99 299 9.9 9.9 . 9.9 9.9 .91 N. 9.9 9.99 9.99 9.9 .9. W 9.9 9.9 9.9 9.9 .9. w! 9.9 \¢.99 u rhazwq 9u99|||||9+9~||dln9qanl+mqulllljn M .9.99 9.99 .9. m 9.9 9.9m .9. m 9.99 9.9 9.9 999 9.99 .9. M 9 999 9.9 9.9 9.9 9.9 .9.9 9.9 9.99 .HJ . 9.9 9.9 9.9 9.9 9.9 9.9 9.99 .9 w.. 9.99 9.9 9.99 9.99 : W 9.9 9.99 9.9 ; .9 9.99 9.9 9.9 9.99 9.99 9.9 3 M 9.99? 9.99 1 .w 9.9 999 9.9 9.9 9.9 9.9 9.9 W 91a .3993: 9.9 9.99 .9 W 9.9 9.9 . 9.99 9.99 9.99 : .w 9.99 a 99999 9999999 : ”W 9.999 .9.: 909 909 909 ‘1, .W 9 . . . _ . . 9.99 9.99 9.99 . . 9.99 2 .W 9.9 . 9.99. 9.99 w 9 . L _ 1 mz¢< 9+99 .999 .9 9 . 9.99 9.99 .m w 9.99 9.99 .9 W 9999 9.9 9. 9.9 9.99 .N W 999 - 9.9 9.99 9.9 9. 9.9 9.99 .9 . 9.9 9“ 9.9 9.9 9.9 9.99 .9 W 9.99 9.9 . 9.99 9.99 . M 9.9 9.9. 9.9 . m ~.99 9. 9.99 9.99 9.9 . W ~.99 9.9m . .9 9. 9.9 9.9 9.9 9.9 m. «wu4qullulmHuZMJI49>< 9.99 . maq4u|499<. 9.99 9.99 . w . 9.9 9.9 9.9. 9.99 9.99 . W 9.999 a 99999 999mm). . WM . 19.999 9.9 9.9 9.9 9.9 A w 9.9 9.99 . 9.99 9.99 . ..KQ‘ . ‘ \‘ IMAM ,3 '7" 9. 9 - .e l. ‘5») ' _ ....qo. - n.9u n.c« . n.c~ 9.9n 99W 999 9.99 9999 9.99 .9W ”M 9.9 9.9 9.9 999 9.9 9.9 9.9 9.9. 9.9 9.9 . 9.9 9.99 9.99 .99 w. 999 999 9999 19.99 9.9 .9.9 . N.~ ~.N .99 m . 9.9 «.9 . 9.9 9.9 .9_ w 9.9 9.“ . 9.99 9.9 .99 .9 «.9 9.99 . :_uamql4a>< 9.99 mIdeqm|+danullquA 9W9 9.99 9.99 .9_ N 9.99 9.99 .99 w «mnm 9.: 9.9 9.9 ~.q«\ . .NJ .w 9.9 9.9 9.9 «.99 9.99 9.9 9.9 9.99 .mb 9. 9.9 9.9 9.9 9.9 9.99 9.99 9.99 .99 Mr wnmn Nnca . comm momfi «9 Wm 9.9. «.99 9.99 .m 9m 9.99 9.99 9.~ 9.99 9.9 9.9 .. W 9.~9 Name -9 . 9.9 999 9.9 9.9 9.9 9.9 9.9 a4aw||m|uHmZMAlqu>9 «.99 . 2999214u99 n.99 9.99 .m w «.o 9.9 9.9m «.mc . .9 .9 m 9.999 a 99999 99999>< .. wm . . 9.999 1|q4q1[. q-9 .. 9.9 9.9 J.M . . M _ ~90d a.o . n9¢~ n.Mn . .4 9.9 . 9.99 _ 9.99 mru< .nA «.m¢ ”who .v_ n.nn «.mc .n4 cflwv \dda a.a aoa o.o~ .NA mm u “an 9.0 °.° “.0“ o.¢H .°.o ..h 0.0m .«d “w 0.9 .5.” can 5.» «.«a o.¢a 5.0. .94 .m ¢‘mm m‘va anon nowfi .m «m a.a n.0n m.¢fl r ., ~.- c.5n o.o o.am o.¢~ c.“ .K onmm afiwn 0“ 9.9 ’ one a.° u.” o.° - 9.0 . v.“ N‘mw n flag: déa ~13 1. s.n 9.9 5.00 o.no_ ¢.~ .m m.ono . mmao. mu«zw>« "m w muaaa‘ an: aoa dun a.a +M .W ‘ . «.fid =.° a.dfl 0.0m _ .A $ ~.n n.o«. m.nn WI mzz0¥ (lx' u-xuq: “egos mo n soc” ufifi «on an: u¢~ ~N~.~ cm“ can o-.~ can .uuaou no can: hang.» -o.n~ ~o¢.~ oo~.¢ oo~.o oca.~ .u.aoo no can: .u» n ua.aH¢ s~.- an.~n ue.ed so.~a oflaaum we a cod «H ‘oc He n mm sung Aha” .mum aafim so.n~« uh.an u~.n~ u~.«~ . sod odaaum «o n na ou an on o as ou ooa-.u.aou .uum floofi an.~H Rowen un.nn Ru.» odaaam fiuuou «o s Ngn no mug eoN ~¢ «Hagan a“ «such no .02. .83 No.0 5.3 .33.... .343 :33 «o x omo.N~ Noo.o «do.ufl ohn.uc no~.oH .50“: a“ .auah mo .oz q0¥ “No.0m "noise can :uwwnuux now .ouh n gnu: can now cauuuauuncou .muu .nuqa mo ounu wean-noun aduOH onu.- u cuso haw .au» n uuoc onu yew newuonuuucou .wuu .3018 «0 cash vauuuHoua Annoy ooo.~m u.Aflo.oHv ouqu coauuavuu ..auwwnuwx :0 wood: case a« uahuu «o .0: vouoonoum «OOH so so sec sue Hagan: gage» no u e¢~.q on« «an oeo.u o~h.d .u.coo mo ou‘m AH“..» ,o«~.oN and.“ oo~.~ oo«.o coo.» .u.:ou «o ou.~..uu n u~.-« u~.- so.n~ N~.o« , ‘ «H.o~ ogaaqm «o a o- Nu . an an . cu nu sun» “had .uum asap N«.od« sc.o~ . go.n~ u~.- _ so.~ .flganm no u on 9“ «N mg a H5 ou ooag .u.aou .muu wood RH.nH «N.e~ .xfl.mq so.- ogaaum Hauou no a man an a- no" No «Assam a«..aua~ no .oz goo“ «a.n «n.o an.~¢ an.o« ‘ Hauou «o u qm~.o- enn.¢ «ao.o «oc.nq nee.nn ciao a“ .euau «0 “oz g0* uoxunaAuauOu «o R «cog an.HH u~.n u~.nfl so.un sm.Hn nqo.n NH: "fig Nun eoq~ oedd .uuaoo no «gum mauau» ¢~N.¢H ooou can con" oeou .oohn .uacou we qua: .u» n Nn.¢~« un.n~ an.o um.¢« u~.~n so.o~ ofiaeam gquou we a oofi Hg ¢ cg oe an n“ nun» fisod .mum cufim so.n~« so.m un.e~ s¢.nu aha «ma edgeqm H-uou «0 a no a o «a «n mm as ea oo¢~ .uuaou .mum so.o~H N~.o~ N¢.o sh.- soN so.~n «Haaaw flauou no u NHn no ~¢ e¢ om“ hefi ufiaeam a“ «gang no .oz good «n.o~ um.o so.o~ so.nu ‘uc.~n Hayes no s oom.n¢ ooq.n~ oqm.n -~.o~ no~.- -o.on .nufix a“ naps. we .oz gHA me¢a memo mm