1. What is the difference between a null and alternative hypothesis? 2. What is the purpose of the P-value. 3. What is the statistical significance of when the P value is less than the alpha of 0.05%? 4. What is he statistical significance of when the P value is more than the alpha of 0.05%? 5. When does a researcher reject the null hypothesis? 6. Give a summary of the Drug X administration. What would be the outcome if the null hypothesis were true?
Added by Alvaro S.
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- The null hypothesis (H0) is a statement of no effect or no difference, and it is assumed to be true until evidence suggests otherwise. - The alternative hypothesis (H1 or Ha) is the statement that there is an effect or a difference, and it is what researchers Show more…
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1. Explain how to determine the null and alternative hypothesis, claim, and if the hypothesis test is left-tailed, right-tailed or two-tailed. 2. What is a test statistic? Explain how to use test statistics and critical values to determine if sample data disagrees with the null hypothesis. 3. Explain the basic idea of P-value. 4. Assuming the null hypothesis is true, explain how to use the P-value and the significance level to determine if the sample data could have occurred by sampling variability or if it is unlikely. 5. Explain how to determine if we should reject or fail to reject the null hypothesis. 6. Explain how to write the four possible conclusions to a hypothesis test that addresses claim and evidence. 7. Explain a Type 1 and Type 2 Errors. Why they occur? What steps can we take to limit the chances of making a Type 1 or Type 2 Error?
Adi S.
1. How would you use the p-value to make a decision about the null hypothesis? 2. How is the p-value related to the test statistic? 3. Explain whether or not rejecting the null hypothesis makes the alternative hypothesis true and why. 4. If I conduct a hypothesis testing with Type I error set at 0.05 and a resulting p-value of 0.3, what would my conclusion be?
Madhur L.
What is the null and alternate hypothesis? (provide your answer in words and then quantify it as shown in the slides)? (2 points) 2.What is the appropriate test to use in this case? (1 point) 3.What is your "observed" and "critical value" of the test statistic? (2 points) 4.What is your conclusion if the level of significance (α) =10%. Use either p-value or critical value approach to come to this conclusion. (1 point)
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