Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
MATH 138 Unit III - OBJECTIVES Intro Stats, by Richard D. De Veaux and Paul F. Velleman. The student will be able to: Chapter 18 50. 51. 52. State and apply the conditions and uses of the Central Limit Theorem. Determine the mean and standard deviation (standard error) for a sampling distribution of proportions or means. Apply the sampling distribution of a proportion or a mean to application problems. Chapter 19 53. 54. Construct a confidence interval for a proportion and interpret in the context of the problem. Determine the sample size necessary to produce a certain margin of error. Chapter 20 55. Perform a one-proportion z-test, to include: writing appropriate hypotheses, checking the necessary assumptions, drawing an appropriate diagram, computing the P-value, making a decision, and interpreting the results in the context of the problem. Chapter 21 56. Explain Type I and Type II errors in the context of the problem. Chapter 22 57. 58. Find a confidence interval for the difference between two proportions. Perform a two-proportion z-test, to include: writing appropriate hypotheses, checking the necessary assumptions, drawing an appropriate diagram, computing the P-value, making a decision, and interpreting the results in the context of the problem. Chapter 23 59. 60. 61. State the assumptions required for t-tests and t-based confidence intervals. Perform and interpret a t-test for the population mean. Compute and interpret a t-based confidence interval for the population mean. 5 Chapter 24 62. 63. Perform and interpret a two-sample t-test for two population means. Compute and interpret a t-based confidence interval for the difference between two population means. Chapter 25 64. 65. Find a paired confidence interval. Perform and interpret a paired t-test. Chapter 26 66. Perform and interpret chi-square tests for goodness-of-fit, homogeneity, and independence. 6