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 35% of people who get the flu experience nausea. You collected data on 1855 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 705 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 35%. a) Identify the null and alternative hypotheses? b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)? c) Identify the appropriate significance level.
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 35% of people who get the flu experience nausea. You collected data on 1855 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 705 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 35%.
a) Identify the null and alternative hypotheses?
b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)?
c) Identify the appropriate significance level.
d) Calculate your test statistic (use ˆpp^ 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?
- 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 35%.
- There is not sufficient evidence to warrant rejection of the claim that the percentage of people who experience nausea is greater than 35%.
- The sample data support the claim that the percentage of people who experience nausea is greater than 35%
- There is not sufficient sample evidence to support the claim that the percentage of people who experience nausea is greater than 35%
- h) Can we conclude that nausea a side effect of Tamiflu?
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