Students will learn to find standard deviation and variance for raw and grouped data and their uses. Read all the highlighted information on pages 104-113 & 124-130 as well as complete the suggested Study Guide exercises #3 (page 107), #4 (page 112), #5 (page 114), #6 (page 124), #7 (page 127), and #8 (page 129). …
Students will learn to find and graph the equation of the least-squares line and use it to predict a value of the response variable y for a specified value of the variable x and explain the difference between interpolation and extrapolation. Read all the highlighted information on pages 164-173 as well as complete the suggested…
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…
Students will learn to compute and make histograms for binomial probabilities and use binomial probability distribution to solve real-world applications. Read all the highlighted information on pages 259-267 &274-278 as well as complete the suggested Study Guide exercises #4 (page260), #5 (page 265), #6 (page 275), and #7 (page 277). Submit your solutions to problems…
Students will learn to distinguish between discrete and random variables and to compute their means and standard deviations. Read all the highlighted information on pages 246-251 as well as complete the suggested Study Guide exercises #1 (page 246), #2 (pages 248-249), and #3 (page 251). Submit your solutions to (section 6.1) problems #1, 2, 3,…
Students will learn to calculate the measures of central tendency (Mean, Median, Mode, and mid-range) and determine which of these is the best average number and why? They will also understand the importance of weighted means. Read all the highlighted information on pages 92- 98 as well as complete the suggested Study Guide exercise…