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Explanation: ANOVA and hypothesis testing of means

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Give an example of how you could/would apply a hypothesis test using ANOVA to compare more than two independent population means? State the null and alternate hypotheses in both words and symbols.You do not need to complete the entire five step process using actual numbers.

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Give an example of how you could/would apply a hypothesis test using ANOVA to compare more than two independent population means? State the null and alternate hypotheses in both words and symbols. You do not need to complete the entire five step process using actual numbers.

Following example illustrates the procedure of conducting a hypothesis test using ANOVA to compare three independent population means.

Example:
Fifteen trainees in a technical program are randomly assigned to three different types of instructional approaches, all of which are concerned with developing a specified level of skill in computer-assisted design. The achievement test scores at the conclusion of the instructional unit are reported ...

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Detailed explanation with example case.

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Test the population mean and then interpret a one-way analysis of variance (ANOVA)

1. You want to prove that a population mean is not 7. Data is ratio and a large sample size will be used (n = 225). When the sample is done the sample mean is computed to be 7.2 and the sample standard deviation is 1.5. Test the hypothesis using an alpha of 5%. Use formal hypothesis testing and compute the p-value.

2. An associate asks for your help in deciphering the following Anova table, indicating that a test of means was performed on the average age of people at three different locations. Unfortunately the person leaves before you can get any further explanation or detail, but you know the results must be presented before senior staff within twenty minutes!

Use the formal 5-step hypothesis testing model to describe the test, the results and interpret the results in conversational English. (See table in attached file)

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