A random sample of 40 binomial trials resulted in 16 successes. Test the claim that the population proportion of successes does not equal 0.50. Use a level of significance of 0.05. (c) Compute p. Compute the corresponding standardized sample test statistic. (Round your answer to two decimal places.) |-1.26 (d) Find the P-value of the test statistic. (Round your answer to four decimal places.) (e) Do you reject or fail to reject Ho? Explain. At the a = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant. At the a = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant. At the a - 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the a - 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. () What do the results tell you? The sample p value based on 40 trials is sufficiently different from 0.50 to justify rejecting H, for a = 0.05. The sample p value based on 40 trials is not sufficiently different from 0.50 to justify rejecting Ho for a = 0.05. The sample p value based on 40 trials is sufficiently different from 0.50 to not reject Hg for a = 0.05. The sample p value based on 40 trials is not sufficiently different from 0.50 to not reject H, for a - 0.05.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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A random sample of 40 binomial trials resulted in 16 successes. Test the claim that the population proportion of successes does not equal 0.50. Use a level of significance of 0.05.
(c) Compute p.
Compute the corresponding standardized sample test statistic. (Round your answer to two decimal places.)
|-1.26
(d) Find the P-value of the test statistic. (Round your answer to four decimal places.)
(e) Do you reject or fail to reject Ho? Explain.
At the a = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.
At the a = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.
At the a - 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.
At the a - 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
() What do the results tell you?
The sample p value based on 40 trials is sufficiently different from 0.50 to justify rejecting H, for a = 0.05.
The sample p value based on 40 trials is not sufficiently different from 0.50 to justify rejecting Ho for a = 0.05.
The sample p value based on 40 trials is sufficiently different from 0.50 to not reject Hg for a = 0.05.
The sample p value based on 40 trials is not sufficiently different from 0.50 to not reject H, for a - 0.05.
Transcribed Image Text:A random sample of 40 binomial trials resulted in 16 successes. Test the claim that the population proportion of successes does not equal 0.50. Use a level of significance of 0.05. (c) Compute p. Compute the corresponding standardized sample test statistic. (Round your answer to two decimal places.) |-1.26 (d) Find the P-value of the test statistic. (Round your answer to four decimal places.) (e) Do you reject or fail to reject Ho? Explain. At the a = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant. At the a = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant. At the a - 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the a - 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. () What do the results tell you? The sample p value based on 40 trials is sufficiently different from 0.50 to justify rejecting H, for a = 0.05. The sample p value based on 40 trials is not sufficiently different from 0.50 to justify rejecting Ho for a = 0.05. The sample p value based on 40 trials is sufficiently different from 0.50 to not reject Hg for a = 0.05. The sample p value based on 40 trials is not sufficiently different from 0.50 to not reject H, for a - 0.05.
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