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
rule * independence and multiplication rule probability for "and" statement * summary 10/24 chapter 14 * mutually exclusive events * the addition rule * using the addition rule * rules for calculating probability 10/25 10/26 chapter 15 * finding the right coefficient * the binomial formula * simple events 10/27 10/28 chapter 15 * compound events Last day to drop a course with consent of instructor 10/31 chapter 16 * law of averages * random variables and box models 11/1 11/2 chapter 17 * expected value (single trial) * expected value (n trials) * standard error (single trial) * standard error (n trials) 11/3 11/4 chapter 17 * relation of the law of averages 11/7 chapter 18 * probability histogram * central limit theorem 11/8 11/9 chapter 18 * normal approximation 11/10 Beginning this date a student who qualifies may request a grade of “I” 11/11 chapter 19 * samples of convenience * quota samples * random samples * biases in samples 11/14 review for exam 3(block 3) 11/15 11/16 exam 3 11/17 11/18 chapter 20 * expected value and SE for sample percentages * the correction factor Last day for an instructor to drop a student with a grade of “WF” for non-attendance 11/21 chapter 20 * the central limit theorem for sample percentages 11/22 11/23 chapter 21 * estimating the population percentage * confidence interval * when to use normal approximation * using confidence interval 11/24 THANKSGIVING University closed 11/25 THANKSGIVING University closed 11/28 chapter 23 * making probability statement about the sample percentage 11/29 11/30 chapter 26 * hypothesis testing * z-test * how to perform z-test 12/1 12/2 chapter 26 * significance of results * applying the z-test
* estimating the population average with confidence intervals 12/5 Review for final PRE-FINAL WEEK 12/6 PRE-FINAL WEEK 12/7 Review for final PRE-FINAL WEEK 12/8 PRE-FINAL WEEK 12/9 No class 4:00 pm – MATH LAB CLOSES for the semester PRE-FINAL WEEK 12/12 FINALS WEEK 12/13 FINALS WEEK 12/14 FINALS WEEK 12/15 FINALS WEEK 12/16 FINALS WEEK TERM ENDS