Hypothesis Testing for proportion (17 )When using normal approximation for distribution of p for hypothesis testing, one should always verify that 13 is nearly normal under H0 (meaning under the assumption that the null hypothesis (H0) is true), this can be done by checking for the and the (18) If po represents the hypothesized population proportion, and if n is the number of trials, in order to use the normal approximation to the Binomial Distribution, both n* po and n* po (1- p0) are both 2 Formulating the Null and Alternate Hypothesis for Proportions: (19) Similar to the hypothesis testing for means, there are three forms of the hypotheses that can be set-up for proportions: (refer to slide 7 in Week 6:1 Notes part 2 Form 1: Form 1 is used when testing for: Form 2: Form 2 is used when testing for: Form 3 Form 3 is used when testing for: (20) In 2017, high blood pressure was a primary or contributing cause of death for more than 472,000 people in the United States. U.S. population in 2017 was about 325, 085,000. Determine p for 2017 U.S. high blood pressure data. (https://www.cdc.gov/bloodpressure/facts.htm)