You are conducting a study of students doing work-study jobs on your campus. Among the questions on the survey instrument are: • How many hours are you scheduled to work each week? Answer to the nearest hour. • How applicable is this work experience to your future employment goals? Respond using the following scale: 1 ⫽ not at all, 2 ⫽ somewhat, 3 ⫽ very applicable Answer the following: 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)? b) Describe the individuals of this study. c) What is the variable for question A? Classify the variable as qualitative or quantitative. What is the level of the measurement? d) What is the variable for question B? Classify the variable as qualitative or quantitative. What is the level of the measurement? e) Is the proportion of responses "3 ⫽ very" to question B a statistic or a parameter? f) Suppose only 40% of the students you selected for the sample respond. What is the nonresponse rate? Do you think the nonresponse rate might introduce bias into the study? Explain. g) Would it be appropriate to generalize the results of your study to all work-study students in the nation? Explain
1. You are conducting a study of students doing work-study jobs on
your campus. Among the questions on the survey instrument are:
• How many hours are you scheduled to work each week? Answer to
the nearest hour.
• How applicable is this work experience to your future employment
goals? Respond using the following scale:
1 ⫽ not at all, 2 ⫽ somewhat, 3 ⫽ very applicable
Answer the following:
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)?
b) Describe the individuals of this study.
c) What is the variable for question A? Classify the variable as
qualitative or quantitative. What is the level of the
measurement?
d) What is the variable for question B? Classify the variable as
qualitative or quantitative. What is the level of the
measurement?
e) Is the proportion of responses "3 ⫽ very" to question B a statistic
or a parameter?
f) Suppose only 40% of the students you selected for the sample
respond. What is the nonresponse rate? Do you think the
nonresponse rate might introduce bias into the study? Explain.
g) Would it be appropriate to generalize the results of your study to
all work-study students in the nation? Explain
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