ENTRY CARD ONLY since I cannot cut the "post assessment" question. Pls accept this question coursehero do not banned my question.

are by doing the follow ENTRY CARD Determine whether the statement is True or False by checking () the appropriate box. If false, modify the statement to make it true. True False Statement A sample is small when n s 30. The Central Limit Theorem applies when n s 30 3. The standard deviation of a sampling distribution is called standard error. In hypothesis testing, a non-directional test is a one-tailed test. 5. When the confidence level is 95%, a = .05. 6. If a test is two-tailed, a direction is implied. In hypothesis testing, the computed statistic is compared to the critical value for decision-making. 8. When the null hypothesis is rejected, a significant difference between parameters exists. 9. When the null hypothesis is not rejected, difference is attributed to chance. 10. Under the normal curve, the critical values separate the rejection region from the rest. POST ASSESSMENT 1 . When is it appropriate to use the t-distribution in testing a hypothesis about a population mean? 2. In what ways are the distributions of the z-statistic and the t-statistic alike? How do they differ? 3. Calculate the t-statistic for each of the following: a. H = 12, X = 15, s = 4, n =12 b. H = 10, X= 7.8, s = 5.1, n = 10 C. H = 5.3, X - 5, s =0.14, n =8 d. H = 9.1, X= 7.2, s = 1.8, n = 15 e. H = 7, X= 5, s = 3, n =10 4. A random sample of ten measurements were obtained from a normally distributed population with mean # = 6.5. The sample values are X= 4.2 and s = 2. a. Test the null hypothesis that the mean of the population against the alternative hypothesis, # = 6.5. Use a = 0.05. b. Test the null hypothesis that the mean of the population against the alternative hypothesis, u * 6.5. Use a = 0.05 5. Conduct a t-test for the null hypothesis Ho: u = 100 against the alternative hypothesis Ho: u > 100 based on 15 random observations. The sample mean' is 110 and the sample standard deviation is 8. Use a = 0.05