Question

A researcher is conducting a study and wants to ensure that the sample chosen to participate will yield good results. • Why is it better to have a large sample of data instead of a small sample? • What happens to reliability as sample size increases?

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-All other things being equal, large sample sizes are better than small sample sizes because they are less variable and, therefore, more reliable. For example, a streak of 100 attempts at free-throws for a basketball player will more likely to represent their record over the whole season than a streak of 10 attempted free-throws.

-As seen in the example above, reliability (closeness to actual values of the population) increases as sample size increases.

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