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Sampling and Work Study

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Sampling and Work Study
1. Statistical Literacy: You are conducting a study of students doing work-study jobs on your campus. Among the questions on the survey instrument are:
A. How many hours are you scheduled to work each week? Answer to the nearest hour.
Answer: Hours would vary due to it being a work study. My guess would be that the hours would be after school hours. 18-25 hours per week
B. How applicable is this work experience to your future employment goals?
Answer: These answers would vary also because my assumptions that the work study would be somewhat helpful for future employment.
Respond using the following scale: 1. not at all, 2 somewhat, 3 very
(a) Suppose you take random samples from the following groups: freshmen, sophomores, juniors, and seniors. What kind of sampling technique are you using (simple random, stratified, systematic, cluster, multistage, convenience)?
Answer: For all students I would use the convenience sampling. The reason I would use this method is because college students often are very busy between school and work there is not very much room for anything else. So I would just try to catch them as I could. I also would find out from the schools the typical schedules of their students.
(b) Describe the individuals of this study.
Answer: Participants in work study program.
(c) What is the variable for question A? Classify the variable as qualitative or quantitative. What is the level of the measurement?
Answer: The variable of question A is qualitative information which deals with apparent qualities (subjective properties). It may also refer to mass, time, or productivity. The level of measurement would be Ordinal variables because it allows more flexibility than nominal variables, because they offer an ordered set of choices. You can calculate percentiles and calculate the median (middle response of a ranked set of answers). They are not numeric with standardized intervals, however, so the extents of the data analysis

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