8/22 8/23 8/24 8/25 8/26 chapter 1 FIRST DAY OF CLASS controlled experiment 8/29 8/30 8/31 9/1 9/2 MATH LAB OPENS for the Last day to add or swap a semester class. chapter 2 chapter 4 observational studies Descriptive chapter 4 statistics(average, * standard deviation mean, median, outliers * RMS *change of scale 9/5 9/6 9/7 9/8 9/9 CENSUS DATE - Last day LABOR DAY to drop course for refund; chapter 4 chapter 3 No classes After this date instructor's * quartiles and the IQR * interpreting histogram written consent required * average vs. median * drawing histogram * Box-whisker plots * histogram and central tendency 9/12 9/13 9/14 9/15 9/16 chapter 5 chapter 5 chapter 6 * standard normal * standardization * types of error distribution * Normal approximation * estimates of error 9/19 9/20 9/21 9/22 9/23 review for exam 1 exam 1(block 0&1) chapter 8 * scatter plot * Associations * the correlation coefficient 9/26 9/27 9/28 9/29 9/30 chapter 8 chapter 9 chapter 9 * sketching scatter * linear association * linear association plots * interchanging axes * interchanging axes 10/3 10/4 10/5 10/6 10/7 Last day to drop with an automatic “W” chapter 10 chapter 10 chapter 11 * linear regression * a second regression * RMS error * the regression line line * using RMS error * the regression * using two regression * Normal approximation effect lines for regression * summary Beginning this date instructor may drop students with grade of for “WF” nonattendance 10/10 10/11 10/12 10/13 10/14 chapter 11 review for exam 2(block chapter 13 * Normal approximation 2) * Defining prob. for regression * conditional prob. * summary *unconditional prob MIDSEMESTER 10/17 10/18 10/19 10/20 10/21 exam2 chapter 13 chapter 13 * using multiplication * calculating the
8/22 8/23 8/24 8/25 FIRST DAY OF CLASS 8/26 chapter 1 controlled experiment 8/29 chapter 2 observational studies 8/30 8/31 chapter 4 Descriptive statistics(average, mean, median, outliers 9/1 MATH LAB OPENS for the semester 9/2 Last day to add or swap a class. chapter 4 * standard deviation * RMS *change of scale 9/5 LABOR DAY No classes 9/6 9/7 chapter 4 * quartiles and the IQR * average vs. median * Box-whisker plots 9/8 CENSUS DATE - Last day to drop course for refund; After this date instructor's written consent required 9/9 chapter 3 * interpreting histogram * drawing histogram * histogram and central tendency 9/12 chapter 5 * standard normal distribution 9/13 9/14 chapter 5 * standardization * Normal approximation 9/15 9/16 chapter 6 * types of error * estimates of error 9/19 review for exam 1 9/20 9/21 exam 1(block 0&1) 9/22 9/23 chapter 8 * scatter plot * Associations * the correlation coefficient 9/26 chapter 8 * sketching scatter plots 9/27 9/28 chapter 9 * linear association * interchanging axes 9/29 9/30 chapter 9 * linear association * interchanging axes 10/3 chapter 10 * linear regression * the regression line * the regression effect 10/4 Last day to drop with an automatic “W” 10/5 chapter 10 * a second regression line * using two regression lines * summary Beginning this date instructor may drop students with grade of “WF” for nonattendance 10/6 10/7 chapter 11 * RMS error * using RMS error * Normal approximation for regression 10/10 chapter 11 * Normal approximation for regression * summary 10/11 10/12 review for exam 2(block 2) 10/13 10/14 chapter 13 * Defining prob. * conditional prob. *unconditional prob MIDSEMESTER 10/17 exam2 10/18 10/19 chapter 13 * using multiplication 10/20 10/21 chapter 13 * calculating the
8494_2677_1680_10_syllabus.docx