Determine whether the data are qualitative or quantitative, and determine the le
ID: 3201794 • Letter: D
Question
Determine whether the data are qualitative or quantitative, and determine the level of measurement of the data set. Explain your reasoning. (a) The numbers of employees at fast-food restaurants in city are listed. (b) The grade point averages (GPAs) for a class of students are listed. Determine whether the survey question is biased. If the question is biased. If the question is biased, suggest a better working. (a) How many hours of sleep do you get on a normal night? (b) Do you agree that the town's ban on skateboarding in parks is unfair? To study U.S. physicians, researchers surveyed 24216 of them and asked for the information below. location of work (hospital, group practice, etc.) specialty (cardiology, family medicine, radiology, etc.) hours seeing patients per week (number) number of patient visits per week (number) (a) Identify the population and the sample. (b) Is the data collected qualitative, quantitative, or both? Explain your reasoning. (c) Determine the level of measurement for each item above. (d) Determine whether the study is an observational study or an experiment. Explain.Explanation / Answer
4.
(a) No. of employees is quantitative discrete data. Since this is countable/finite unlike continuous data.
(b) CGPA is quantitative continuous data. This can be in any place of decimal (uncountable/infinite).
5.
(a) This is a biased survey. Since we asking the data which is hours of sleep during only 'Normal' nights not during any random night.
(b) Yes. This is unbiased survey. Since the opinion can be taken from a random subject.
6.
(a) Population: all the physicians in US
Sample: 24216 US physicians chosen for survey
(b) Both.
Location, location of work and specialty are qualitative data rest are having numbers for quantitative data.
(c) Level of measurement:
Gender: binary (qualitative)
Location: nominal (qualitative)
Age: Integer (quantitative)
Income: continuous (quantitative)
Location of work: (quantitative)
rest all quantitative
(e) This is an observational study. Since no test/treatment/experiment is done on the subject during analysis.
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