You are concerned that nausea may be a side effect ofTamiflu, but you cannot just give Tamiflu to patients withthe flu and say that nausea is a side effect if peoplebecome nauseous. This is because nausea is common forpeople who have the flu. From past studies you know thatabout 34% of people who get the flu experience nausea.You collected data on 1926 patients who were takingTamiflu to relieve symtoms of the flu, and found that 711experienced nausea. Use a 0.01 significance level to testthe claim that the percentage of people who take Tamiflufor the relief of flu symtoms and experience nausea isgreater than 34%.a) Identify the null and alternative hypotheses?Ho: ?H₁: ?b) What type of hypothesis test should you conduct (left-,right-, or two-tailed)?left-tailedright-tailedO two-tailedc) Identify the appropriate significance level.d) Calculate your test statistic. Write the result below, andbe sure to round your final answer to two decimal places.e) Calculate your p-value. Write the result below, and besure to round your final answer to four decimal places.

a) Hypotheses: H0: p ≤ 0.34H1: p > 0.34 claim

Answered: You are concerned that nausea may be a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The well-known psychologist Dr. Elbod has established what he calls his Generalized Anxiety Scale (GAS). The GAS, which is a scale from 0 to 10, measures the "general anxiety" of an individual, with higher GAS scores corresponding to more anxiety. (Dr. Elbod's assessment of anxiety is based on a variety of measurements, both physiological and psychological.)We're interested in making predictions about individuals' sleep behavior based on their GAS scores. The bivariate data below give the GAS score (denoted by x) and the number of hours of sleep last night (denoted by y) for each of the fifteen adults in a study. The least-squares regression line for these data has equation Ŷ=8.48-0.28x This line, along with a scatter plot of the sample data, is shown below. (The 2nd picture contains the rest of the data as it would not fit in the first pic and it includes the question as well.)

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