A researcher is interested in

people's stress levels vary depending on the time of year. The researcher recruits five participants for their study. They ask the participants in mid-July, on a scale from 1 to 20, how stressed they feel on average (where a higher score means greater stress). Then, in mid-January, they ask the same five participants again to report how stressed they feel on average. Their average stress levels in July were 11 (MJuly = 11) and in January they were 15 (MJanuary = 15). The difference between the participants' stress scores in July and their stress scores in January (Stress in July - Stress in January) are given in the table below.July January Participant (Difference Scores, D) 1 -6 2 -5 3 -5 4 -3 5 -1 Using the appropriate hypothesis test and following the steps of hypothesis testing, see what the researcher should conclude about the effect of the time of year on stress levels. Which of the following are the test's assumptions? Choose all that app_ly_. C] The cases in the sample are independent of each other. C] The sample was randomly drawn from the population. C] The variances across all conditions are equal. C] The dependent variable is normally distributed. State whether you decide to reject, or fail to reject, the null hypothesis, and choose the correct explanation for why you made that decision. 0 Reject the null hypothesis; the probability of obtaining this sample mean difference when the null hypothesis is true is less than 5% (p .05) O Fail to reject the null hypothesis; the probability of obtaining this sample mean difference when the null hypothesis is true is greater than 5% (p > .05) O Fail to reject the null hypothesis; the probability of obtaining this sample mean difference when the null hypothesis is true is less than 5% (p