Chapter 12
Probability’s Role in Confidence Intervals and Hypothesis Tests
IN THIS CHAPTER
Seeing how probability is involved in confidence intervals
Exploring where probability comes into play in hypothesis testing
In this chapter, you explore how probability plays a role in two major types of inferences in statistics (where you move from sample results to generalizations about the population): confidence intervals and hypothesis tests.
A confidence interval is used when you have a population parameter (a value, usually unknown, that summarizes the population, such as the population mean or population proportion of yeses) and you want to estimate it. For example, what is the average price of gas in the United States?
A hypothesis test is a test about a population parameter value, such as the population mean or proportion of yeses. For example, is the mean gas price in the United States equal to a certain value, or is it higher than that? Probability is involved in both situations; this chapter shows you how.
Reviewing Confidence Intervals and Probability
Probability is present in nearly every topic in statistics, but none more so than the two types of inference: confidence intervals and hypothesis tests. In this section, you see where probabilities come into play regarding ...
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