II **Hypothesis Testing on Tamiflu and Nausea as a Side Effect**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 34% of people who get the flu experience nausea. You collected data on 2248 patients who were taking Tamiflu to relieve symptoms of the flu, and found that 828 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 34%.**a) Identify the null and alternative hypotheses:****Null Hypothesis (H0):** ? **Alternative Hypothesis (Ha):** ? **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:****Significance Level:** **d) Calculate your test statistic. Write the result below, and be sure to round your final answer to two decimal places:****Test Statistic:** **e) Calculate your p-value. Write the result below, and be sure to round your final answer to four decimal places:****p-value:** **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 34%.- There is not sufficient evidence to warrant rejection of the claim that the percentage of people who experience nausea is greater than 34%.- The sample data support the claim that the percentage of people who experience nausea is greater than 34%.- There is not sufficient sample evidence to support the claim that the percentage

Name: II **Hypothesis Testing on Tamiflu and Nausea as a Side Effect**You ar
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Description: II **Hypothesis Testing on Tamiflu and Nausea as a Side Effect**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. T

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You are concerned that nausea may be a side effect of Tamiflu, but you cannot jJust 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 34% of people who get the flu experience nausea. You collected data on 2248 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 828 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 34%. a) Identify the null and alternative hypotheses? Но: (? v Ha:? v b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)? O left-tailed O right-tailed two-tailed c) Identify the appropriate significance level.