A magazine claims that the brand of shoe you buy can have a major impact on how fast you run. A researcher decides to test this assertion and gathers a group of seven (N=7) runners and asks each of them to run a mile wearing each of the four different types of shoes (Nike, Adidas, Asics, and Brooks) and records how quickly the runners complete their miles wearing each type of shoe. Conduct a within subjects (AKA repeated measures) ANOVA, at alpha = 0.05, to see if the runners mile times are significantly different depending on the type of shoe they wear. Identify the correct alternative hypothesis A. At least two mean mile times are different from at least two other mean mile times between the four different types of shoes being tested B. There is a significant difference in mean mile time between the four different types of shoes being tested C. At least one mean mile time is different from at least two other mean mile times between the four different types of shoes being tested D. At least one mean mile time is different from at least one other mean mile time between the four different types of shoes being tested
A magazine claims that the brand of shoe you buy can have a major impact on how fast you run. A researcher decides to test this assertion and gathers a group of seven (N=7) runners and asks each of them to run a mile wearing each of the four different types of shoes (Nike, Adidas, Asics, and Brooks) and records how quickly the runners complete their miles wearing each type of shoe. Conduct a within subjects (AKA repeated measures) ANOVA, at alpha = 0.05, to see if the runners mile times are significantly different depending on the type of shoe they wear. Identify the correct alternative hypothesis A. At least two mean mile times are different from at least two other mean mile times between the four different types of shoes being tested B. There is a significant difference in mean mile time between the four different types of shoes being tested C. At least one mean mile time is different from at least two other mean mile times between the four different types of shoes being tested D. At least one mean mile time is different from at least one other mean mile time between the four different types of shoes being tested
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A magazine claims that the brand of shoe you buy can have a major impact on how fast you run. A researcher decides to test this assertion and gathers a group of seven (N=7) runners and asks each of them to run a mile wearing each of the four different types of shoes (Nike, Adidas, Asics, and Brooks) and records how quickly the runners complete their miles wearing each type of shoe. Conduct a within subjects (AKA repeated measures) ANOVA, at alpha = 0.05, to see if the runners mile times are significantly different depending on the type of shoe they wear.
Identify the correct alternative hypothesis
- A. At least two
mean mile times are different from at least two other mean mile times between the four different types of shoes being tested - B. There is a significant difference in mean mile time between the four different types of shoes being tested
- C. At least one mean mile time is different from at least two other mean mile times between the four different types of shoes being tested
- D. At least one mean mile time is different from at least one other mean mile time between the four different types of shoes being tested
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