Research Scenario 1: A faculty member at a state university is interested in the effects of advising frequency on transfer students retention rates and feelings of connectedness to the university. He obtained a list of all new transfer students in Fall 2019, he recruited 150 to be in his research study. He assigned 75 of them to monthly advising with a faculty member in their major. These students received a total of 5 advising session over the course of the research study. The remaining 75 complete advising upon transfer into the university and prior to registration in Spring 2020 (as is required by the university) for a total of 2 advising session. Upon completion of the Fall 2019 semester the researcher had all participants fill out a Likert scale survey on how connected they felt to the university. The researcher also examined dropout rates and rates of registration of Spring 2020.
- What is the population of interest for this study?
- Identify the sample for this study.
- Identify the independent variable(s) and their and levels.
- Identify the dependent variable(s) and the scale of measure for each.
- Is this a between or within-subjects design? How do you know?
Research Scenario 2: Flu rates at Minnesota College (n=500) were 18.95 per week with a standard deviation of 9.58 this past flu season. The school in interested in determining if their schools flu rate is higher than the state average for colleges of the same size. The state average for small colleges is 15.14 per week with a standard deviation of 12.19 and a standard error of the mean of 0.55
- Complete
the steps of hypothesis testing (detailed below) to test the hypothesis that
Minnesota College flu rates are higher than the state mean of 15.14.
- State the null and research hypotheses
- Set the alpha level
- Select the appropriate statistical tests
- Compute the test statistic value
- Determine the value needed for rejection of the null hypothesis
- Compare
the obtained value to the critical value
- If the obtained value is more than the critical value, the null hypothesis is rejected
- If the obtained value is does not exceed the critical value the, null hypothesis is accepted as true
- What is the overall conclusion for this study?
- Determine the 95% and 99% confidence intervals for the mean flu rate for Minnesota College.
4) Compute the standard score for the following colleges and discuss what they mean when compared to the state average:
Cologne Tech: X = 13.98
Wilmer Community College: X = 15.54
5)Using the table in the book what is the probability of a school of this size having 18 or more flu cases per week.
