rule probability for "and" * independence and statement multiplication rule * summary 10/24 10/25 10/26 10/27 10/28 chapter 14 chapter 15 chapter 15 * compound events * mutually exclusive * finding the right events coefficient Last day to drop a course with * the addition rule * the binomial formula consent of instructor * using the addition * simple events rule * rules for calculating probability 10/31 11/1 11/2 11/3 11/4 chapter 16 chapter 17 chapter 17 * law of averages * expected value * relation of the law of * random variables and (single trial) averages box models * expected value (n trials) * standard error (single trial) * standard error (n trials) 11/7 11/8 11/9 11/10 11/11 Beginning this date a student who qualifies may request a chapter 18 chapter 18 chapter 19 grade of “I” * probability * normal approximation * samples of convenience histogram * quota samples * central limit * random samples theorem * biases in samples 11/14 11/15 11/16 11/17 11/18 review for exam exam 3 chapter 20 3(block 3) * expected value and SE for sample percentages * the correction factor Last day for an instructor to drop a student with a grade of for non-attendance “WF” 11/21 11/22 11/23 11/24 11/25 THANKSGIVING THANKSGIVING chapter 20 chapter 21 University closed University closed * estimating the * the central limit population percentage theorem for sample * confidence interval percentages * when to use normal approximation * using confidence interval 11/28 11/29 11/30 12/1 12/2 chapter 23 chapter 26 chapter 26 * making probability * hypothesis testing * significance of statement about the results * z-test sample percentage * applying the z-test * how to perform z-test
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
8494_2677_1680_10_syllabus.docx