sons dataStory

Contents Null and Alternative hypotheses> One-sided and two-sided tests Hypothesis Statistical inference consists of establishing tentative hypotheses about the parameters of a population based on statistics calculated from a sample, and testing steps to accept or reject the hypothesis. In the test stage, the statistic of the sample that is the basis for judgment is called test statistic . The brobability of a more extreme statistic based on that test statistic is called p-value . By comparing the p-value with the significance level, acceptance or rejection of the statistic is determined. p-value < significance level: reject the hypothesis assumed to be true p-value > significance level: Failed to reject the hypothesis assumed to be true Power and Sample size Power is the probability of rejecting a false hypothesis. For example, a power of 90% indicates that there is a 10% chance of accepting an incorrect hypothesis. This is a type 2 error shown in Table...