In a clinical trial, a random sample of 500 participants is used to test a new drug Out of these, 280 participants showed improvement. Test whether the population proportion of improvement differs from 0.55 (let α=0.04). a) State the null and alternative hypotheses associated with the test b) What is the critical value of the associated test statistic? c) What is the calculated value of the associated test statistic? d) What is the p-value of the associated test statistic? e) State your decision about the null hypothesis by comparing the critical and calculated values of the test statistic or by comparing the p-value with a. (

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
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ISBN:9780547587776
Author:HOLT MCDOUGAL
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Chapter11: Data Analysis And Probability
Section: Chapter Questions
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In a clinical trial, a random sample of 500 participants is used to test a new drug. Out
of these, 280 participants showed improvement. Test whether the population
proportion of improvement differs from 0.55 (let x=0.04).
a)
State the null and alternative hypotheses associated with the test
b) What is the critical value of the associated test statistic?
c) What is the calculated value of the associated test statistic?
d) What is the p-value of the associated test statistic?
e)
State your decision about the null hypothesis by comparing the critical and calculated
values of the test statistic or by comparing the p-value with a. (
Transcribed Image Text:In a clinical trial, a random sample of 500 participants is used to test a new drug. Out of these, 280 participants showed improvement. Test whether the population proportion of improvement differs from 0.55 (let x=0.04). a) State the null and alternative hypotheses associated with the test b) What is the critical value of the associated test statistic? c) What is the calculated value of the associated test statistic? d) What is the p-value of the associated test statistic? e) State your decision about the null hypothesis by comparing the critical and calculated values of the test statistic or by comparing the p-value with a. (
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