You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly less than 0.79. You use a significance level of α=0.02 H0:p=0.79 H1:p<0.79You obtain a sample of size n=727 in which there are 556 successes.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = The p-value is...less than (or equal to) ααgreater than ααThis test statistic leads to a decision to...reject the nullaccept the nullfail to reject the nullAs such, the final conclusion is that...The sample data support the claim that the probability of a true negative on a test for a certain cancer is less than 0.79.There is not sufficient sample evidence to support the claim that the probability of a true negative on a test for a certain cancer is less than 0.79.

Given data number of success , x= 556 sample size, n =727 population proportion,p= 0.79…

Answered: such, the final conclusion is that...…

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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You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly less than 0.79. You use a significance level of α=0.02

H0:p=0.79
H1:p<0.79

You obtain a sample of size n=727 in which there are 556 successes.

What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =

The p-value is...

less than (or equal to) αα
greater than αα

This test statistic leads to a decision to...

reject the null
accept the null
fail to reject the null

As such, the final conclusion is that...

The sample data support the claim that the probability of a true negative on a test for a certain cancer is less than 0.79.
There is not sufficient sample evidence to support the claim that the probability of a true negative on a test for a certain cancer is less than 0.79.

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