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Confidence intervals and hypothesis tests
Review of the theory in inference for means
Possible values of \(\mu\)
Theories about \(\mu\)
\(P\)-value
Interpreting the \(P\)-value
Connection between \(P\)-values and confidence intervals
Errors in hypothesis testing
An error in inference
\(P\) is not the probability that the null hypothesis is true
Large \(P\)-values do not prove the null hypothesis
\(P\)-values do not measure the importance of a result
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Hypothesis testing for means
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Motivation and knowledge
Hypothesis testing for means
Motivation and knowledge
Content - Confidence intervals and hypothesis tests
Content - Review of the theory in inference for means
Possible values of μ
Theories about μ - Ρ-value
Theories about μ - Interpreting the Ρ-value
Theories about μ - Connection between Ρ-values and confidence intervals
Errors in hypothesis testing - An error in inference
Errors in hypothesis testing - P is not the probability that the null hypothesis is true
Errors in hypothesis testing - Large Ρ-values do not prove the null hypothesis
Errors in hypothesis testing - Ρ-values do not measure the importance of a result
Answers to exercises
