How does the z score and p value relate to the rejection region? Can you think of some real life applications of hypothesis testing?How would the z score and p value relate to the rejection region?Give a real life examples of hypothesis testing
Suppose we want to test whether the population proportion of people who had a certain disease is equal to 0.5 in a certain country. We randomly choose 100 people, obtain the number of people in this sample who have that disease and compute z score. If z score is larger than the critical value and in the rejection region, p-value would be less than the level of significance. In this situation we would reject the null hypothesis and conclude that the proportion is not equal to 0.5.
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MS and BS in Math