Hypothesis Tests for Two Samples

CompetencyFormulate and evaluate hypothesis tests for population parameters based on sample statistics using both
Critical Regions and P-Values, and be able to state results in a non-technical way that can be understood
by consumers of the data instead of statisticians.
Dealing with Two Populations
Inferential statistics involves forming conclusions about a population parameter. We do so by constructing
confidence intervals and testing claims about a population mean and other statistics. Typically, these
methods deal with a sample from one population. We can extend the methods to situations involving two
populations (and there are many such applications). This deliverable looks at two scenarios.
Concept being Studied
Your focus is on hypothesis tests and confidence intervals for two populations using two samples, some of
which are independent and some of which are dependent. These concepts are an extension of hypothesis
testing and confidence intervals which use statistics from one sample to make conclusions about
population parameters.

Sample Solution

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