11. Suppose Ho is p = 5 and H, isp making a rejection decision regarding Tois...
suppose you test null hypothesis Ho : μι_Ha versus Ha : μ.μ2 , software gives 12.3 degrees of freedom for your t test. Answer the following questions: a) If test statistics t-2.25 5, use the rejection region to decide if Ho be rejected or not at a .0.05? Include a sketch, clearly label critical value(s) and rejection and nonrejection regions. b) If test statistics was t-1.14, use a 0.05, compute the p-value and decide if Ho b rejected or not...
Consider the following null and alternative hypotheses: Ho: p=0.76 versusH1: p≠ 0.76 A random sample of 525 observations taken from this population produced a sample proportion of 0.80. a. If this test is made at a 5% significance level, would you reject the null hypothesis? Use the critical-value approach. Round your answer for z to two decimal places. z(observed)= z critical left= z critical right= We reject/fail to reject null hypothesis b. What is the probability of making a Type...
If you are testing hypotheses and your p-value gives you a rejection of the null hypothesis for a 5% significance level, then all other things being equal you would also get a rejection of the null hypothesis for a 10% significance level. Select one: True O False
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H when the level of significance is (a) a= 0.01, (b) a 0.05, and (c) a0.10. P 0.0749 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? O A. Reject H because the P-value, 0.0749, is greater than a=0.01 O B. Fail to reject Ho because the P-value, 0.0749, is less than a = 0.01 O C. Reject...
Suppose that the p-value of a test is 0.001. Which of the following is correct regarding the conclusions we can draw? A. We can reject the null hypothesis at both at a significance level of 0.01 and at a significance level of 0.05 B. We can reject the null hypothesis at a significance level of 0.05 but cannot reject the null hypothesis at a significance level of 0.01 C. We cannot reject the null hypothesis at both at a significance...
If you are testing hypotheses and your p-value gives you a rejection of the null hypothesis for a 5% significance level, then all other things being equal you would also get a rejection of the null hypothesis for a 10% significance level. Select one: True False
When testing at 95% confidence, what is the probability of rejecting a true na hypothesis? 16. A random sample of 16 sta on a final exam, with a sample andom sample of 16 statistics students showed that they scored an average of 84 nal exam, with a sample standard deviation of 5 points. Give a 98% dence interval estimate of the average exam score for all students who took this exam ".Dased on historical observation, the average monthly income for...
Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test, i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish o compare he means of two populations using paired observations. Suppose hat d: 3 12 sd 2. and n : 8 and that you wish to est e h pothesis below at he 1 % level of signiticance hat decision le ou d ou u O A....
1. An experimenter examining decision-making asked 10 children to solve as many problems as they could in 10 minutes. One group (5 subjects) was told that this was a test of their innate problem-solving ability; a second group (5 subjects) was told that this was just a time filling task. The data for each group is presented below. Innate ability: 4,5,8, 3,7 Time-filling task: 11, 6,9,7,9 Does the mean number of problems solved vary with the experimental condition? i.e., is...
12. Consider a statistical inference that test the null hypothesis be Ho: c against H : esuch that c is a positive value. The test statistic associated with this mull hypothesis is given by t(b-c)/se(b) At significance level a, the test statistic is smaller than the critical value te(a/2, N - 2), that is iste(a/2, N- 2). Mark the correct alternative: (a) The test p-value increases if we increase c. (b) c does not belong to the estimated confidence interval...