Chapter 1: Problem 4
Explain the meaning of an element, a variable, an observation, and a data set.
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Chapter 1: Problem 4
Explain the meaning of an element, a variable, an observation, and a data set.
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Explain the following. a. Random sample b. Nonrandom sample c. Convenience sample d. Judgment sample e. Quota sample
In which sampling technique do all samples of the same size selected from a population have the same chance of being selected?
A statistics professor wanted to find out the average GPA (grade point average) for all students at her university. She used all students enrolled in her statistics class as a sample and collected information on their GPAs to find the average GPA. a. Is this sample a random or a nonrandom sample? Explain. b. What kind of sample is it? In other words, is it a simple random sample, a systematic sample, a stratified sample, a cluster sample, a convenience sample, a judgment sample, or a quota sample? Explain. c. What kind of systematic error, if any, will be made with this kind of sample? Explain.
Explain the difference between an observational study and an experiment.
A company has 1000 employees, of whom \(58 \%\) are men and \(42 \%\) are women. The research department at the company wanted to conduct a quick survey by selecting a sample of 50 employees and asking them about their opinions on an issue. They divided the population of employees into two groups, men and women, and then selected 29 men and 21 women from these respective groups. The interviewers were free to choose any 29 men and 21 women they wanted. What kind of sample is it? Explain.
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