Consider the following data set: 3 A 1 23.7 2 21.8 3 10.9 12.3 19.7 18.1...
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Consider the following data set: 3 A 1 23.7 2 21.8 3 10.9 12.3 19.7 18.1 4 6.4 The corresponding model is 1 16.1 14.6 - B 2 20.5 - 4 - Yijk = μ + αi + B₁ + € ijk, where x, represents the effect of the ith level of factor A, B, represents the effect of the jth level of factor B, and €ijk ~ N(0, 0²). (a) Show that the hypothesis Ho: α1 = x2 = x3 = x4 is testable. Test Ho at the 5% level. Consider the following data set: 3 A 1 23.7 2 21.8 3 10.9 12.3 19.7 18.1 4 6.4 The corresponding model is 1 16.1 14.6 - B 2 20.5 - 4 - Yijk = μ + x₁ + B₁ + € ijk, where x, represents the effect of the ith level of factor A, B, represents the effect of the jth level of factor B, and €ijk ~ N(0, 0²). (a) Show that the hypothesis Ho: α1 = x2 = α3 = x4 is testable. Test Ho at the 5% level. Consider the following data set: 3 A 1 23.7 2 21.8 3 10.9 12.3 19.7 18.1 4 6.4 The corresponding model is 1 16.1 14.6 - B 2 20.5 - 4 - Yijk = μ + αi + B₁ + € ijk, where x, represents the effect of the ith level of factor A, B, represents the effect of the jth level of factor B, and €ijk ~ N(0, 0²). (a) Show that the hypothesis Ho: α1 = x2 = x3 = x4 is testable. Test Ho at the 5% level. Consider the following data set: 3 A 1 23.7 2 21.8 3 10.9 12.3 19.7 18.1 4 6.4 The corresponding model is 1 16.1 14.6 - B 2 20.5 - 4 - Yijk = μ + αi + B₁ + € ijk, where x, represents the effect of the ith level of factor A, B, represents the effect of the jth level of factor B, and €ijk ~ N(0, 0²). (a) Show that the hypothesis Ho: α1 = x2 = x3 = x4 is testable. Test Ho at the 5% level. Consider the following data set: 3 A 1 23.7 2 21.8 3 10.9 12.3 19.7 18.1 4 6.4 The corresponding model is 1 16.1 14.6 - B 2 20.5 - 4 - Yijk = μ + x₁ + B₁ + € ijk, where x, represents the effect of the ith level of factor A, B, represents the effect of the jth level of factor B, and €ijk ~ N(0, 0²). (a) Show that the hypothesis Ho: α1 = x2 = α3 = x4 is testable. Test Ho at the 5% level. Consider the following data set: 3 A 1 23.7 2 21.8 3 10.9 12.3 19.7 18.1 4 6.4 The corresponding model is 1 16.1 14.6 - B 2 20.5 - 4 - Yijk = μ + x₁ + B₁ + € ijk, where x, represents the effect of the ith level of factor A, B, represents the effect of the jth level of factor B, and €ijk ~ N(0, 0²). (a) Show that the hypothesis Ho: α1 = x2 = α3 = x4 is testable. Test Ho at the 5% level.
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Related Book For
Understanding Basic Statistics
ISBN: 9781111827021
6th Edition
Authors: Charles Henry Brase, Corrinne Pellillo Brase
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