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Topic 1: Introduction to Basic Vocabulary I. Identify each variable as quantitative or categorical 7.1 (a) Number of social media apps on a phone (b) Time it takes players on the football team to run the 100yd dash (e) Favorite sports to play among a group of friends 2. Hospital A has a policy that requires employees to wear scrubs of an assigned color according to department. Hospital B allows employees to wear scrubs of thelr own choosing. A study was done to measure and compare employee satisfaction at the two hospitals. Higher employee satisfaction was found at hospital B. (a) Was this an experimental or observational study? Explain why. (b) Can we conclude that higher levels of employee satisfaction at hospital B are due to a more lenient dress code? Why or why not? (c) Identify one possible lurking (confounding) variable in the study. 3. A group of incoming freshmen were randomly assigned a mentor for their first year. The mentons were either faculty members or senior students. At the end of the first year, class attendance and grades were compared for students under each type of mentor. Better attendance and grades were were recorded for students with student mentors. (a) Was this an experimental or observational study? Explain. (b) Can we conclude that student mentors were more effective in inspiring higher grades and better class attendance than faculty mentors? Why or why not? 4. A researcher was interested in the effects of work (job outside of school) on student performance. The researcher is the friend of a coach and simply asked all athletes how many hours per week they work and their GPAs. Descriptive statistics showed that when the number of hours worked was high, GPA was low. (a) Can the results be used to make inferences about working and GPA for all students at the university? Why or Why not? (b) What type of poor sampling technique was used in the study? (c) Can we conclude that working more hours outside of school causes decreased GPA? Why o why not? 5. In your own words, describe the difference between a population and sample. 6. In your own words, describe the difference between a parameter and statistic. 7. In each setting identify μ and z. (a) Suppose state records show that the average age of women giving birth in the state in 26 .3 years. At one hospital, the average age of women giving birth is 25 years. (b) Suppose a random sample of residents in Horry county, SC had an average age of 43 years old. By comparison, the census reports that Sumter county, FL is the oldest county in the U.S. with an average age of 66.6 years.
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Answer #1

1. (a) quantitative

(b) quantitative

(c) categorical

2. (a) This is an experimental study because a study was conducted to measure employee satisfaction at the two hospitals.

(b) Lenient dress code cannot be a reason for employee satisfaction.

(c) Employee's care is a variable which decides the employee satisfaction.

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