STA 309 Chapter Notes - Chapter 10-1: Null Hypothesis, Standard Deviation
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The starting hypothesis, called the null hypothesis (h0) is a working model that we adopt temporarily or for the sake of argument. It specifies a population model parameter and proposes a value for that parameter. ***the parameter value comes from the null hypothesis. The alternative hypothesis (ha) contains all the values of the parameter that we will consider plausible if we reject the null hypothesis. **how to estimate the standard deviation of a random proportion using the binomial model. To determine if the data is surprising (given the null hypothesis), determine exactly how likely the data we observes would be if the null hypothesis were true. P-value: the probability of seeing data like these given the null hypothesis: when it is low, the null hypothesis should be rejected, generally, . 05 = fail to reject.
