you're testing two flu drugs A and B. Drug A works on 41 people out of a sample of 195. Drug B works on 160 people in a sample of 605. Is there evidence that drug B works better. Use a 5% alpha level.
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- 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%. 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…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%. Calculate your test statistic (use ˆpp^ rounded to 4 decimal places). Round your test statistic to 4 decimal places. Calculate your p-value and round to 4 decimal places.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…
- Please answer the second experiment (iv) to (vii)You are a biochemist working at a major pharmaceutical company. You and your team are tasked with developing an improved common cold medication that has lower rates of side effectsthan the one that the company is currently marketing as its main over-the-counter symptom reliever. You think you found a variationof the known, proprietary molecule that is much better in terms of the side effects. Partnering with the local clinic, you find 10 volunteers to use the new drug (after necessary clinical phases)and record the number of side effects they experience over a period of two weeks. The data are: Xi: 0, 0, 2, 1, 1, 1, 0, 1, 0, 3 You ask one of the interns in the team to pull the info from the database about side effects rate in the current drug. The intern tells you that the mean rate for the current drug is 1.8, with a standard deviation of .4. A. Name the appropriate statistical procedure to apply. B. Identify the predictor and predicted variables and describe their levels of…You are a biochemist working at a major pharmaceutical company. You and your team are tasked with developing an improved common cold medication that has lower rates of side effectsthan the one that the company is currently marketing as its main over-the-counter symptom reliever. You think you found a variationof the known, proprietary molecule that is much better in terms of the side effects. Partnering with the local clinic, you find 10 volunteers to use the new drug (after necessary clinical phases)and record the number of side effects they experience over a period of two weeks. The data are: Xi: 0, 0, 2, 1, 1, 1, 0, 1, 0, 3 You ask one of the interns in the team to pull the info from the database about side effects rate in the current drug. The intern tells you that the mean rate for the current drug is 1.8, with a standard deviation of .4. C. Conduct the test. Make a decision about the null hypothesis, interpret your results and calculate effect size if applicable. At ?=.05can you…
- You are a biochemist working at a major pharmaceutical company. You and your team are tasked with developing an improved common cold medication that has lower rates of side effectsthan the one that the company is currently marketing as its main over-the-counter symptom reliever. You think you found a variationof the known, proprietary molecule that is much better in terms of the side effects. Partnering with the local clinic, you find 10 volunteers to use the new drug (after necessary clinical phases)and record the number of side effects they experience over a period of two weeks. The data are:Xi: 0, 0, 2, 1, 1, 1, 0, 1, 0, 3You ask one of the interns in the team to pull the info from the database about side effects rate in the current drug. The intern tells you that the mean rate for the current drug is 1.8, with a standard deviation of .4. C. Conduct the test. Make a decision about the null hypothesis, interpret your results and calculate effect size if applicable. At ?=.05can you…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 30% of people who get the flu experience nausea. You collected data on 1744 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 572 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 30%.a) Identify the null and alternative hypotheses?�0: �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.d) Calculate your test statistic. Write the result below, and be sure to round your final answer to two decimal…A doctor would like to evaluate whether flu-frequency is different among patients of various ages. He groups his most recent 12 patients into four groups according to age (pediatric, young adult, older adult, senior), and counts the frequency of their flu-related visits. Below is his data. Test the hypothesis that flu frequency is different among pediatric, adult, older adult, and senior patients using an alpha level of .01. Pediatric. Young Adult. Older Adult. Senior 6 2 4 7 4 1 0 9 5 0 0 12 d. Find the critical value: e. Calculate the obtained statistic: f. Make a decision: g. What does your decision mean? h.…
- What is the alpha?A doctor would like to evaluate whether flu-frequency is different among patients of various ages. He groups his most recent 12 patients into four groups according to age (pediatric, young adult, older adult, senior), and counts the frequency of their flu-related visits. Below is his data. Test the hypothesis that flu frequency is different among pediatric, adult, older adult, and senior patients using an alpha level of .01. Pediatric. Young Adult. Older Adult. Senior 6 2 4 7 4 1 0 9 5 0 0 12 g. What does your decision mean? h. Paste your SPSS output here: i. Explain how the Sig. value in your SPSS output leads you to…How many hours of sleep do people get by listening to music? I record 10 subjects’ hours of sleep after they listen to 4 types of music: White noise, Rock, Pop, and Classical. For each music condition, they provide an average amount of hours of sleep they got for 1 week. Using the following data, test whether there is a significant difference in hours of sleep between types of music at an alpha of 0.01. Subject White noise Rock Pop Classical 1 5 5 7.5 9 2 9.5 6.5 7 9 3 7.5 6 7 10 4 8 6 7 8 5 8.5 5 6 8 6 6 5.5 7 10 7 7 6.5 9 9 8 8 5 5 9.5 9 8 6 7 8 10 8 7 7.5 7 What is the null hypothesis? _______________________ What is the alternative hypothesis? __________________ What is the critical F value? _________________