A health psychologist claims that the more final exams a student has during finals weeks, the more stressed they are. They want to test this experimentally by having 418 students receiving no additional finals in their fall semester and then assessing each participants stress during finals ( = mu1). Then the same 418 students receive additional finals in their spring semester and are assessed on their stress during finals ( = mu2) and they want to assess if the difference in stress with no additional finals relative to additional finals (mu1 - mu2). = mu1 = No Additional finals and = mu2 = Additional finals What would the degrees of freedom be for this research?
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A health psychologist claims that the more final exams a student has during finals weeks, the more stressed they are. They want to test this experimentally by having 100 students receiving additional finals in their fall semester and then assessing each participants stress during finals ( = mu1). Then the same 100 students receive no additional finals in their spring semester and are assessed on their stress during finals ( = mu2) and they want to assess if the difference in stress with no additional finals relative to additional finals with mu2 - mu1. = mu1 = Additional finals and = mu2 = No additional finals What would be the null and alternative hypotheses?
Clarissa B.
health psychologist claims that final exams will increase stress. They want to test this experimentally by having 56 students receive additional finals in their fall semester and then assessing each participants stress during finals ( = mu1). Then the same 56 students receive no additional finals in their spring semester and are assessed on their stress during finals ( = mu2) and they want to assess if the difference in stress with no additional finals relative to additional finals with mu1 - mu2. = mu1 = Additional finals and = mu2 = No additional finals What would be the critical t-value for this research?
A health psychologist claims that the more final exams a student has during finals weeks, the more stressed they are. They want to test this experimentally by having 6 students receiving additional finals in their fall semester and then assessing sleep during finals ( = mu1). Then the same 6 students receive no additional finals in their spring semester and are assessed on their sleep during finals ( = mu2) and they want to assess if the difference in sleep with no additional finals relative to additional finals with mu1 - mu2. = mu1 = Additional finals and = mu2 = No additional finals They get the following data: Additional finals No Additional finals 93 63 66 51 84 94 92 69 23 58 96 79 What would be the estimated standard error of the differences (i.e., the denominator of your t-statistic)? Please compute and report to 4 decimal places.
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