Comparison of Two Independent Samples
... z What intuitive criterion did we use to determine whether the hypothesized parameter value (p=0.2 in the ESP Example 9.1.1, and μ = 5.517 in Example 9.1.2) was credible in the light of the data? (Determine if the data-driven parameter estimate is consistent with the pattern of variation we’d expect ...
... z What intuitive criterion did we use to determine whether the hypothesized parameter value (p=0.2 in the ESP Example 9.1.1, and μ = 5.517 in Example 9.1.2) was credible in the light of the data? (Determine if the data-driven parameter estimate is consistent with the pattern of variation we’d expect ...
errors in hypothesis testing and power
... case. What if we had a new drug that has tremendous potential for positive effects. In the one case, there may be no reason to suspect that there will be any adverse side effects. It either works or does nothing. In this case, you would be willing to reject the null hypothesis almost all of the time ...
... case. What if we had a new drug that has tremendous potential for positive effects. In the one case, there may be no reason to suspect that there will be any adverse side effects. It either works or does nothing. In this case, you would be willing to reject the null hypothesis almost all of the time ...
Mind on Statistics Test Bank - Michigan State University`s Statistics
... D. Reject the null hypothesis because the p-value is less than 0.05. KEY: D 36. Using a 5% significance level, what is the correct conclusion for this significance test? A. The proportion of college students who say they believe in extraterrestrial life is equal to 50%. B. The proportion of college ...
... D. Reject the null hypothesis because the p-value is less than 0.05. KEY: D 36. Using a 5% significance level, what is the correct conclusion for this significance test? A. The proportion of college students who say they believe in extraterrestrial life is equal to 50%. B. The proportion of college ...
Hypothesis Testing - Dixie State University :: Business Department
... Discussion: Perhaps you noticed in the last exercise that the sample mean was 5.25 seconds and yet we concluded that men change channels every 5 seconds or less. How is this possible? You must remember that we are talking about probabilities here. We did this problem based on a 90% confidence of bei ...
... Discussion: Perhaps you noticed in the last exercise that the sample mean was 5.25 seconds and yet we concluded that men change channels every 5 seconds or less. How is this possible? You must remember that we are talking about probabilities here. We did this problem based on a 90% confidence of bei ...
1 Chapter 9, Part A Hypothesis Tests Learning objectives
... statistics textbooks does not have sufficient detail to determine the exact p-value for a hypothesis test. n However, we can still use the t distribution table to identify a range for the p-value. n An advantage of computer software packages is that the computer output will provide the p-value for t ...
... statistics textbooks does not have sufficient detail to determine the exact p-value for a hypothesis test. n However, we can still use the t distribution table to identify a range for the p-value. n An advantage of computer software packages is that the computer output will provide the p-value for t ...
ExamView - HypoTesting.tst
... c. Fail to reject H0 in favor of H1 d. We cannot tell from the information given. ____ 16. The owner of a local nightclub has recently surveyed a random sample of n = 300 customers of the club. She would now like to determine whether or not the mean age of her customers is over 35. If so, she plans ...
... c. Fail to reject H0 in favor of H1 d. We cannot tell from the information given. ____ 16. The owner of a local nightclub has recently surveyed a random sample of n = 300 customers of the club. She would now like to determine whether or not the mean age of her customers is over 35. If so, she plans ...
Significance Testing
... Three factors that affect probability of a type 2 error 1. Sample size; larger n reduces the probability of a type 2 error without affecting the probability of a type 1 error. 2. Level of significance; larger reduces probability of a type 2 error by increasing the probability of a type 1 error. 3. ...
... Three factors that affect probability of a type 2 error 1. Sample size; larger n reduces the probability of a type 2 error without affecting the probability of a type 1 error. 2. Level of significance; larger reduces probability of a type 2 error by increasing the probability of a type 1 error. 3. ...
