Decide which hypothesis test is appropriate to use.A company wants to investigate the relationship between commute time to work and job satisfaction. There is a negative linear relationship in the sample they took, and they wanted to see if the linear relationship would hold for the entire company.Group of answer choicesHypothesis testing for one population proportionHypothesis testing for one population meanHypothesis testing comparing two population proportionsHypothesis testing comparing two population means – independent samplesHypothesis testing comparing two population means – matched pair samplesANOVAChi-square test of independenceT-test for linear relationship
Question
Decide which hypothesis test is appropriate to use.A company wants to investigate the relationship between commute time to work and job satisfaction. There is a negative linear relationship in the sample they took, and they wanted to see if the linear relationship would hold for the entire company.Group of answer choicesHypothesis testing for one population proportionHypothesis testing for one population meanHypothesis testing comparing two population proportionsHypothesis testing comparing two population means – independent samplesHypothesis testing comparing two population means – matched pair samplesANOVAChi-square test of independenceT-test for linear relationship
Solution
The appropriate hypothesis test for this scenario is the T-test for linear relationship. This is because the company is trying to investigate a potential linear relationship between two variables - commute time to work and job satisfaction. The T-test for linear relationship is designed to determine if a linear relationship exists between two variables in a population, which aligns with the company's objective.
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