Assume you were testing the hypotheses Ho: p = 0.25 vs. Hai p> 0.25 with a significance level of 0.05. The p-value for the test was calculated to be 0.0048. Which of the following statements is correct? O a. The p-value tells us that if the population proportion is 0.25 , then the probability of observing the test statistic actually obtained or higher is 0.0048. O b. The p-value tells us that the true population proportion is 0.0048. O. The p-value tells us that the probability of concluding that the null hypothesis is 0.25, when in fact it is greater than 0.25, is 0.0048. O d. The p-value tells us that the null value 0.25 is significantly higher than the sample value, using a significance level of 0.05.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Assume you were testing the hypotheses Ho: p = 0.25 vs. Ha: p> 0.25 with a significance level of 0.05. The p-value for the test was calculated to be 0.0048. Which of the following statements is correct?
O a. The p-value tells us that if the population proportion is 0.25 , then the probability of observing the test statistic actually obtained or higher is 0.0048.
O b. The p-value tells us that the true population proportion is 0.0048.
O c. The p-value tells us that the probability of concluding that the null hypothesis is 0.25, when in fact it is greater than 0.25, is 0.0048.
O d. The p-value tells us that the null value 0.25 is significantly higher than the sample value, using a significance level of 0.05.
Transcribed Image Text:Assume you were testing the hypotheses Ho: p = 0.25 vs. Ha: p> 0.25 with a significance level of 0.05. The p-value for the test was calculated to be 0.0048. Which of the following statements is correct? O a. The p-value tells us that if the population proportion is 0.25 , then the probability of observing the test statistic actually obtained or higher is 0.0048. O b. The p-value tells us that the true population proportion is 0.0048. O c. The p-value tells us that the probability of concluding that the null hypothesis is 0.25, when in fact it is greater than 0.25, is 0.0048. O d. The p-value tells us that the null value 0.25 is significantly higher than the sample value, using a significance level of 0.05.
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