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9.50. Work Problem 9.49 at a 0.01 level. 9.51. Suppose that the results in Table 9-48 of Problem 9.48 hold for the northeastern part of the United States, while corresponding results for the western part are given in Table 9-52. Determine at the 0.05 level whether there are differences due to (a) chemicals, (b) location. Table 9-52 A B C 5 3 5 4 4 7 6 2 4 3 3 6
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9.52. Referring to Problems 9.23 and 9.37, suppose that an additional experiment performed in the northeastern part of the United States produced the results in Table 9-53. Test at the 0.05 level whether there is a difference in (a) fertilizers, (b) the three locations. Table 9-53 A B C D E 17 20 18 12 15 14 10 15 11 12 18 20 16 14 19 12 15 17 11 14
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9.53. Work Problem 9.52 using a 0.01 level. 9.54. Perform an analysis of variance on the Latin square of Table 9-54 at a 0.05 level and state conclusions.
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Table 9-54 FACTOR 1 B 16 FACTOR 2 A 18 C 15 C 21 B 23 A 18 A 15 C 14 B 12
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9.55. Perform an analysis of variance on the Graeco-Latin square of Table 9-55 at a 0.05 level, and state conclusions. Table 9-55 FACTOR 1 Ag 6 B d3 FACTOR 2 Db 15 Ca 16 Cg 20 Dd 6 Ba 9 Ab 17 Ad 5 Bg 7 Bb 12 Aa 8 Cd 4 Dg 15 Da 18 Cb 14
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9.23. There is a significant difference in yield at both levels. 9.24. There is no significant difference in tires at either level. 9.25. There is a significant difference in teaching methods at the 0.05 level but not the 0.01 level. 9.26. There is a significant difference in brands at the 0.05 level but not the 0.01 level. 9.27. There is a significant difference in his grades at both levels. 9.28. There is no significant difference in operators or machines. 9.29. There is no significant difference in operators or machines. 9.30. There is a significant difference in types of corn but not in soils at the 0.05 level. 9.31. There is no significant difference in type of corn or soils at the 0.01 level. 9.32. There is a significant difference in both tires and automobiles at the 0.05 level. 9.33. There is no significant difference in either tires or automobiles at the 0.01 level. 9.34. There is a significant difference in teaching methods but no significant difference in schools at the 0.05 level.
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9.35. There is no significant difference in either hair color or height. 9.36. Same answer as Problem 9.35. 9.37. There is a significant difference in locations at the 0.05 level but not in fertilizers. 9.38. There is no significant difference in locations of fertilizers at the 0.01 level. 9.39. There is a significant difference in operators but not in machines. 9.40. There is no significant difference in either fertilizers or soils. 9.41. Same answer as Problem 9.40.
9.42. There is no significant difference in scholastic achievement due to differences in height, hair color, or birthplace. 9.43. There are significant differences in species and quantities of the first chemical but no other significant differences. 9.44. There are significant differences in types of cables but no significant differences in cable strengths due to operators, machines, or companies. 9.45. There is no significant difference in treatments at either level. 9.46. There is no significant difference in IQ scores at either level. 9.47. There are significant differences in examination scores due to both veteran status and IQ at the 0.05 level. 9.48. At the 0.01 level the differences in examination scores due to veteran status are not significant, but those due to IQ are significant. 9.49. There are no significant differences in test scores of students from different parts of the country, but there are significant differences in test scores due to IQ. 9.50. Same answer as Problem 9.49. 9.51. There is a significant difference due to chemicals or locations at the 0.05 level. 9.52. There are significant differences due to locations but not to fertilizers. 9.53. There are no significant differences due to locations or fertilizers. 9.54. There are no significant differences due to factor 1, factor 2, or treatments A, B, C. 9.55. There are no significant differences due to factors or treatments.
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