Industrial-organizational researchers anticipate that if employers allow their employees to work from home two days per...
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Industrial-organizational researchers anticipate that if employers allow their employees to work from home two days per week that it will increase productivity. To test their hypothesis, they collect a sample of n=144 employees who can work from home twice a week and measure their productivity. The sample mean for these employees was 79 with a standard deviation of 12. If the mean productivity in the general populations of employees is 77.5, is there enough evidence to support that employees that are allowed to work from home have significantly different productivity compared to the population? To answer this, conduct a full hypothesis test using the one-sample t-test (alpha of a-0.01, two-tailed test), including a measure of effect size. For your answer to this question, write a paragraph IN YOUR OWN WORDS that contains all of the following information: 1. Hypotheses 2. Critical values 3. Final t-test answer 4. Effect size answer 5. Conclusion about the null hypothesis 6. Written summary of the conclusions that can be made from this study, including interpretation of effect size. Industrial-organizational researchers anticipate that if employers allow their employees to work from home two days per week that it will increase productivity. To test their hypothesis, they collect a sample of n=144 employees who can work from home twice a week and measure their productivity. The sample mean for these employees was 79 with a standard deviation of 12. If the mean productivity in the general populations of employees is 77.5, is there enough evidence to support that employees that are allowed to work from home have significantly different productivity compared to the population? To answer this, conduct a full hypothesis test using the one-sample t-test (alpha of a-0.01, two-tailed test), including a measure of effect size. For your answer to this question, write a paragraph IN YOUR OWN WORDS that contains all of the following information: 1. Hypotheses 2. Critical values 3. Final t-test answer 4. Effect size answer 5. Conclusion about the null hypothesis 6. Written summary of the conclusions that can be made from this study, including interpretation of effect size.
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