Suppose you wish to compare the mean GPA of students in the College of Public Health to the mean GPA of students in the college of Medicine at USF.  If you go to each of the student lead organizations in both colleges asking for people to be apart of your study, what type of sampling are you doing?

Which of the following assumptions concerning simple regression models is stated incorrectly?

Suppose you wish to determine if students in the College of Public Health have higher GPAs than that of students in the college of Medicine at USF.  If you randomly select 50 students with GPA’s above 3.0 after they graduated and 50 students with GPA’s below 3.0 after they graduated then checked their student records to look back at what college they first enrolled in, then compare GPAs what type of study was conducted?

A biostatistician finds the relationship between the number of weeks (X) spent in a hospital and number of seizures per week (Y) and is described by the following equation: .  This is based on a sample size of 50 patients and the associated coefficient of correlation is r = .19. Using this information above, answer the following question: How do you interpret r = .19?

It is known that the population standard deviation of weight among females is 30. Assuming that we have a random sample of 210, what is the standard error of the average weight among women of a sample of this size?

A sample of 1000 subjects is stratified gender and physical activity level as follows:   Physical Activity Level Gender Low High Total Male 200 500 700 Female 100 200 300 Total 300 700 1000   In a random selection of a subject from the study population, what is the probability that the person is female?

Twelve students were randomly selected from the College of Public Health and their diastolic blood pressure was tested. The sample mean and standard deviation were 79.0 mmHg and 2.2 mmHg respectively. What is the obtained t-score for this sample under the null hypothesis Ho: µ = 80?

Which of the following methods of graphing sample data can help you in determining the shape of a frequency distribution for the variable height (measured in inches)?

A researcher would like to study BMI levels in adults 20-40 years of age. She selected 9 patients and found their BMI values to be: 38, 19, 25, 16, 29, 18, 34, 32, 30The standard deviation of BMI levels of this group of patients is

Conduct a hypothesis test based on the following information using a significance level of 1%: Research Question: Are people running more than 20.95 miles per week? Population standard deviation was NOT KNOWN Test statistic = 2.57 Sample size = 25