You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly different from 0.11. You use a significance level of α=0.05α=0.05.       H0:p=0.11       H1:p≠0.11 You obtain a sample of size 349 in which there are 22 successes. What is the test statistic for this sample? (Report answer accurate to 3 decimal places.) What is the p-value for this sample? (Report answer accurate to 4 decimal places.) 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 there is sufficient evidence to conclude that the probability of a true negative on a test for a certain cancer is different from 0.11. there is not sufficient evidence to conclude that the probability of a true negative on a test for a certain cancer is different from 0.11. there is sufficient evidence to conclude that the probability of a true negative on a test for a certain cancer is equal to 0.11. there is not sufficient evidence to conclude that the probability of a true negative on a test for a certain cancer is equal to 0.11

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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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 different from 0.11. You use a significance level of α=0.05α=0.05.

      H0:p=0.11
      H1:p≠0.11

You obtain a sample of size 349 in which there are 22 successes.

What is the test statistic for this sample? (Report answer accurate to 3 decimal places.)


What is the p-value for this sample? (Report answer accurate to 4 decimal places.)


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

  • there is sufficient evidence to conclude that the probability of a true negative on a test for a certain cancer is different from 0.11.
  • there is not sufficient evidence to conclude that the probability of a true negative on a test for a certain cancer is different from 0.11.
  • there is sufficient evidence to conclude that the probability of a true negative on a test for a certain cancer is equal to 0.11.
  • there is not sufficient evidence to conclude that the probability of a true negative on a test for a certain cancer is equal to 0.11
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