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A bicycle tire manufacturer wants to test the front and rear tire life. The manufacturer collected data from 30 cyclists/bicycles for both rear and front tire life. The tire life (total miles ridden) data can be downloaded from the open educator website. What could be an appropriate statistical method to answer the research question?
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A bicycle tire manufacturer wants to test the front and rear tire life. The manufacturer collected data from 30 cyclists/bicycles for both rear and front tire life. The tire life (total miles ridden) data can be downloaded from the open educator website. What statistical decision would you make for this problem?
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A bicycle tire manufacturer wants to test the front and rear tire life. The manufacturer collected data from 30 cyclists/bicycles for both rear and front tire life. The tire life (total miles ridden) data can be downloaded from the open educator website. What contextual conclusion would you make?
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A bicycle tire manufacturer wants to test the front and rear tire life. The manufacturer collected data from 30 cyclists/bicycles for both rear and front tire life. The tire life (total miles ridden) data can be downloaded from the open educator website. Which of the following represents the alternative hypothesis?
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A bicycle tire manufacturer wants to test the front and rear tire life. The manufacturer collected data from 30 cyclists/bicycles for both rear and front tire life. The tire life (total miles ridden) data can be downloaded from the open educator website [Data File Name: DOEM2.6]. Which of the following represents the null hypothesis?
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A bicycle tire manufacturer wants to test the front and rear tire life. The manufacturer collected data from 30 cyclists/bicycles for both rear and front tire life. The tire life (total miles ridden) data can be downloaded from the open educator website. What is the p-value of the test?
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