Students will learn to construct a scatter diagram, estimate visually the location of the best-fitting line, and compute the sample correlation coefficient.  Read all the highlighted information on pp.141-157 as well as complete the suggested Study Guide exercises #1 (page 148), #2 (page149), and #3 (page 154-155).   Submit your solutions to (section 4-1) problems […]

Students will learn to identify the null and alternate hypotheses in statistical tests, recognize the types of errors and level of significance and test the mean using normal distribution when the standard deviation is known and the t distribution when the standard deviation is unknown  Read all of the highlighted information on pages 425-434 & […]

Students will learn to compute the confidence interval for the mean when the standard deviation is known or unknown and compute the sample size to be used for estimating the population mean.  Read all the highlighted information on pp. 372-380 & 386-391 as well as complete the suggested Study Guide exercises #1 (page 378), #2 […]

Students will learn to compute the probability of standardized events and find the z-score from a given normal probability.  Read all the highlighted information on pages 316-324 & 336-342 & 347-352 as well as complete the suggested Study Guide exercises #6 (pages 317-318), #7(pages 321-322), #8 (page 334), #9 (page 339-340), #10 (pages 342-342), and […]

Students will learn to use graphs of normal probability distributions to determine the probability interval of a measurement selected at random.  Read pages 297-300 & 306-313 as well as complete the suggested Study Guide exercises #1 (page 8), #2 (page 299-300), #3 (page 307-308), #4 (page 310), and #5 (page 313).   Submit your solutions to […]