Explanation Type-1 error: Type I error is defined as rejecting the null hypothesis ( H 0 ) when it is true and it is denoted by α . The reason for not using the separate hypothesis tests for μ 1 = μ 2 ,

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ISBN: 9780321924599

Author: Mario F. Triola

Publisher: PEARSON

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Chapter 11.4, Problem 2BSC

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To explain: The reason for not using the separate hypothesis tests for μ1=μ2 , μ1=μ3 and μ2=μ3 when the test for equality of three means.

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Chapter 11.4, Problem 1BSC

Chapter 11.4, Problem 3BSC

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Chapter 11 Solutions

Essentials of Statistics (5th Edition)

Ch. 11.2 - Prob. 1BSC Ch. 11.2 - Prob. 2BSC Ch. 11.2 - Prob. 3BSC Ch. 11.2 - Prob. 4BSC Ch. 11.2 - Prob. 5BSC Ch. 11.2 - Prob. 6BSC Ch. 11.2 - In Exercises 5-20, conduct the hypothesis test and...Ch. 11.2 - In Exercises 5-20, conduct the hypothesis test and...Ch. 11.2 - Prob. 9BSC Ch. 11.2 - In Exercises 5-20, conduct the hypothesis test and...

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The reason for not using the separate hypothesis tests for μ 1 = μ 2 , μ 1 = μ 3 and μ 2 = μ 3 when the test for equality of three means.

Solution Summary: The author explains that the method of analysis of variance is used for avoiding Type I error.

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To explain: The reason for not using the separate hypothesis tests for μ1=μ2 , μ1=μ3 and μ2=μ3 when the test for equality of three means.

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Chapter 11 Solutions