### Hypothesis Testing: Side Effects of TamifluYou are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients to find out if they get nauseous. This is because nausea is a known side effect of people who become nauseous. Past studies show that about 33% of people who get the flu experience nausea. You collected data on 2371 patients who were taking Tamiflu to relieve symptoms of the flu and found that 841 experienced nausea. Use a 0.01 significance level to test the claim that the percentage of people who take Tamiflu for the relief of flu symptoms and experience nausea is greater than 33%.#### a) Identify the null and alternative hypotheses.\[ H_0: \, ? = \, \]\[ H_1: \, ? = \, \]#### b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)?- [ ] left-tailed- [ ] right-tailed- [ ] two-tailed#### c) Identify the appropriate significance level.\[ \alpha = \, \]#### d) Calculate your test statistic (use p rounded to 4 decimal places). Round your test statistic to 4 decimal places.\[ Z = \, \]#### e) Calculate your p-value and round to 4 decimal places.\[ p = \, \]#### f) Do you reject the null hypothesis?- [ ] We reject the null hypothesis, since the p-value is less than the significance level.- [ ] We reject the null hypothesis, since the p-value is not less than the significance level.- [ ] We fail to reject the null hypothesis, since the p-value is less than the significance level.- [ ] We fail to reject the null hypothesis, since the p-value is not less than the significance level.#### g) Select the statement below that best represents the conclusion that can be made.- [ ] There is sufficient evidence to warrant rejection of the claim that the percentage of people who experience nausea is greater than 33%.- [ ] There is not sufficient evidence to warrant rejection of the claim that the percentage of people who experience nausea is greater than 33%.- [ ] The sample data support the claim that the percentage of people who experience nausea is greater than 33%.- [ ] There is not sufficient sample evidence to support the claim that

From the provided information,Sample size (n) = 2371From which 841 experienced nausea.Sample…

You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. This is because nausea is common for people who have the flu. From past studies you know that about 33% of people who get the flu experience nausea. You collected data on 2371 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 841 experienced nausea. Use a 0.01 significance level to test the claim that the percentage of people who take Tamiflu for the relief of flu symtoms and experience nausea is greater than 33%. a) Identify the null and alternative hypotheses? Ho:? Hy: ? v b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)? O left-tailed Oright-tailed O two-tailed c) Identify the appropriate significance level. FO d) Calculate your test statistic (use rounded to 4 decimal places). Round your test statistic to 4 decimal places. e) Calculate your p-value and round to 4 decimal places. f) Do you reject the null hypothesis? Owe reject the null hypothesis, since the p-value is less than the significance level. O we reject the null hypothesis, since the p-value is not less than the significance level. O we fail to reject the null hypothesis, since the p-value is less than the significance level. Owe fail to reject the null hypothesis, since the p-value is not less than the significance level. g) Select the statement below that best represents the conclusion that can be made. O There is sufficient evidence to warrant rejection of the claim that the percentage of people who experience nausea is greater than 33%. O There is not sufficient evidence to warrant rejection of the claim that the percentage of people who experience nausea is greater than 33%. O The sample data support the claim that the percentage of people who experience nausea is greater than 33% O There is not sufficient sample evidence to support the claim that the percentage of people who experience nausea is greater than 33% h) Can we conclude that nausea a side effect of Tamiflu? O Yes Dalm