Concept explainers
(a)
To explain why it might be difficult to give the survey to an SRS of fans.
(a)

Explanation of Solution
The researcher is interested in surveying
A simple random sample would then not be good sampling method because it is possible that the simple random sample will not contain any fans from one or more types of families attending the basketball game.
(b)
To explain why it could be better to select a stratified random sample using the lettered rows rather than the numbered sections as strata and what is the benefit of using a stratified sample in this context.
(b)

Explanation of Solution
The researcher is interested in surveying
A stratified sampling would be a good sampling method in this case because we could then draw a simple random sample from each types of fans who are attending the basketball match and thus be equally represented in the sample.
(c)
To explain how to select a cluster sample of fans and what is the benefit of using a cluster sample in this context.
(c)

Explanation of Solution
The researcher is interested in surveying
A cluster sample will be based on the types of ticket prices and then with cluster sampling, the researcher divides the population into separate groups, called clusters. Then, a simple random sample of clusters is selected from the population. The researcher conducts his analysis on data from the sampled clusters. Then it will be more modified result then the stratified random sampling.
Chapter 4 Solutions
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