Question

You perform 3800 significance tests using a significance level of 6%. Assuming that the null hypothesis...

You perform 3800 significance tests using a significance level of 6%. Assuming that the null hypothesis is true, how many of the test results would you expect to be statistically significant? Please show working for the problem.

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
question 1 1) Consider a significance test for a null hypothesis versus a two-sided alternative. State...
question 1 1) Consider a significance test for a null hypothesis versus a two-sided alternative. State all values of a standard normal test statistic z that will give a result significant at the 10% level but not at the 5% level of significance. (Sec. 6.2) You perform 1,000 significance tests using α = 0.01. Assuming that all the null hypotheses are true, how many of the test results would you expect to be statistically significant? Explain your answer. (Sec. 6.3)...
You perform a hypothesis test for a hypothesized population mean at the 0.01 level of significance....
You perform a hypothesis test for a hypothesized population mean at the 0.01 level of significance. Your null hypothesis for the two-sided test is that the true population mean is equal to your hypothesized mean. The two-sided p-value for that test is 0.023. Based on that p-value... A. you should accept the null hypothesis. B. the null hypothesis cannot be correct. C. you should reject the null hypothesis. D. you should fail to reject the null hypothesis.
Perform a hypothesis for the null and alternative hypotheses: ??:?? =? ??:?? <? The following is...
Perform a hypothesis for the null and alternative hypotheses: ??:?? =? ??:?? <? The following is the sample information. ?̅=?.? ?? =?.? ?=?? ?=?.?? a. (1 point) Calculate the appropriate test statistic, p-value, and give a general conclusion of reject or fail to reject the null hypothesis based on the significance level. Show all work b. (1 point) Now suppose you know ?? = 1.2. Calculate the appropriate test statistic, p-value and give a general conclusion of reject or fail...
1. The P-value of a test of the null hypothesis is a. the probability the null...
1. The P-value of a test of the null hypothesis is a. the probability the null hypothesis is true. b. the probability the null hypothesis is false. c. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed. d. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed. 2. The P-value...
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless...
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless of the alpha level: .10, .05, or .01, our test will have the same conclusion or result. 2. If alpha is greater than the p-value, then we reject the null hypothesis. 3. The p-value is strictly the probability the null hypothesis being true. 4. Hypothesis tests are accessing the evidence provided by the data and deciding between two competing hypotheses about the population parameter....
Question 4 please although I am unsure of my answers for the rest as well :(...
Question 4 please although I am unsure of my answers for the rest as well :( Here is the full list for background info. Consider a significance test for a null hypothesis versus a two-sided alternative. State all values of a standard normal test statistic z that will give a result significant at the 10% level but not at the 5% level of significance. (Sec. 6.2) You perform 1,000 significance tests using α = 0.01. Assuming that all the null...
R2.30: In hypothesis testing, the Null hypothesis is: A. Influencing the level of significance for the...
R2.30: In hypothesis testing, the Null hypothesis is: A. Influencing the level of significance for the test B. Accepted when the test statistic falls within the rejection region C. Used to calculate the test statistic D. An assumption that is claimed to be true
Suppose that in a certain hypothesis test the null hypothesis is rejected at the .10 level;...
Suppose that in a certain hypothesis test the null hypothesis is rejected at the .10 level; it is also rejected at the .05 level; however it cannot be rejected at the .01 level. The most accurate statement that can be made about the p-value for this test is that: p-value = 0.01. p-value = 0.10. 0.01 < p-value < 0.05. 0.05 < p-value < 0.10. Complete the sentence: If we do not reject the null hypothesis, we conclude that _____....
In a two-tailed hypothesis test of the mean using a 0.05 level of significance, researchers calculated...
In a two-tailed hypothesis test of the mean using a 0.05 level of significance, researchers calculated a p-value of 0.03. What conclusion can be drawn? The alternative hypothesis should be rejected because the p-value is so small. The null hypothesis is true because the p-value is less than the level of significance. The alternative hypothesis is 3% likely to be true. The null hypothesis should be rejected because the p-value is less than the level of significance. 1.The alternative hypothesis...
You have made the decision to reject your null hypothesis. Which of the following statements is...
You have made the decision to reject your null hypothesis. Which of the following statements is TRUE regarding your results? Your results are NOT statistically significant. Your results are due to sampling variability. Your results can't be interpreted. Your results are statistically significant.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT