Parts 1 thru 4 I need help with. The explanation on the right is just an example so you no what the questions are to answer parts 2 thru 4.

Suppose 207 subjects are treated with a drug that is used to treat pain and 50 of them developed nausea. Use a 0.10 significance level to test the claim that more than 20% of users develop nausea. Identify the null and alternative hypotheses for this test. Choose the O A. Ho: P = 0.20 H, : p # 0.20 OB. Ho: P> 0.20 H,: p =0.20 Identify the number of events, the number of trials, the claimed population proportion, and the significance level to be used in technology. OC. Ho:p =0.20 The number of events is 49, the number of trials is 252, the claimed population proportion is 0.20, and the H1: p 0.20 The test statistic for this hypothesis test is - 0.22. In a hypothesis test, the P-value is the probability of getting a value of the test statistic that is at least as extreme as the test statistic obtained from the sample data, assuming that the null hypothesis is true. While the P-value can be found using technology or the standard normal distribution table, for this problem use technology, rounding to three decimal places. The P-value for this hypothesis test is 0.587. If P-value sa, reject Ho. If P-value > a, fail to reject Ho. Then, use this information to state a final conclusion that addresses the original claim with wording that can be understood by those without knowledge of statistical procedures