STA 309 Chapter Notes - Chapter 10: Sampling Distribution, Standard Deviation, Null Hypothesis
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Null hypothesis (h0): a working model that we adopt temporarily or for the sake of argument. Alternative hypothesis (ha): contains all the values of the parameter that we will consider plausible if we reject the null hypothesis. P-value: the probability of seeing the data observed given the null hypothesis. When the p-value is low, reject the null hypothesis. High p-value does not prove the null hypothesis is true. High p-value fail to reject the null hypothesis. Arbitrary level to make a decision for if the p-value falls below the level selected. Must be selected before looking at data. State whether to reject or fail to reject null hypothesis. We reject/fail to reject the null hypothesis. There is/is not sufficient evidence to conclude that ____________________ Two-sided alternative hypothesis: equal interest in deviations on either side of the null hypothesis value. One-sided alternative hypothesis: an alternative hypothesis that focuses on deviations from the null hypothesis value in only one direction.
