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BM2 SYLLABUS (BLUMAN - SIXTH EDITION ) Week Topic Homework / Classwork Comments CHAPTER 13: THE NATURE OF PROBABILITY AND STATISTICS W1 Descriptive and Inferential Statistics Types of data / variables Data Collection and Sampling techniques Hand out CHAPTER 14: FREQUENCY DISTRIBUTIONS AND GRAPHS W2 W3 W4 Section 14-2: Frequency Organizing Data into a frequency Distribution p 857 Categorical Frequency Distribution p 858-859 Grouped Frequency Distribution p 859-864 Section 14-3 : Graphs Histograms, p 870-872 Frequency Polygons, p 872-873 Ogives p 873-875 Relative Frequency p 875-877 Distribution shapes p 877-879 Section 14-4: Other Types of Graphs Construct and interpret : - Pareto Charts p 886-887 - Time series Graphs p 887 - 888 - Pie Graphs p 888 – 892 - Stem and leaf plots p 895-898 Exercises 14-2: 1, 2, 3, 5, 7, 8, 9, 10, 12 Exercises 14-3: 1, 2, 5, 13, 14, 19, 20 Exercises 14-4: 3, 6, 8, 10, 12, 14, 15,17, 18, 23 Omit Misleading Graphs Include back-to-back stem and leaf plots CHAPTER 15: DATA DESCRIPTION W5 W6 W7 W8 Section 15-2: Measures of Central Tendency Mean for raw data p 918 - 931 Mean for grouped data Median for raw data Mode and Modal Class Mid-range Weighted mean Distribution shapes Section 15-3: Measures of Variation The range P 937 - 943 Population Variance and Standard Deviation Sample Variance and Standard Deviation Section 15-4: Measures of Position Standard Scores (z) p 955 - 966 Percentiles Quartiles and Deciles, IQR Outliers Section 15-5: Exploratory Data Analysis The Five-Number Summary Boxplots p 974 – 978 Exercises 15-2: 2, 3, 6, 7,12, 14, 26, 28, 30, 32, 33 33, 37,38 Exercises 15-3: 1, 2, 3, 4, 6, 7, 9 46 Omit: Var / strd deviation for grouped data and Chebyshev’ s Theorem Exercises 15-4: 1- 10, 13 -17, 22, 23, Exercises 15-5: 1 – 12, 16, 17 Include Compare distributions (Example 39) 1 Week W9 Topic Homework / Classwork Comments Using IT, Catch-up & Revision for Midterm CHAPTER 16: PROBABILITY AND COUNTING RULES W10 Section 16-2: Sample Spaces and Probability Basic Concepts p 995 - 1006 Tree Diagrams Events Classical, empirical and subjective probability Rules of probability W11 Section 16-3 : The Addition Rules for Probability Mutually Exclusive Events P 1011 - 1014 Addition Rules 1 & 2 Venn Diagrams W12 Section 16-5 & 16-6: Counting Rules The fundamental counting rule P 1034 - 1041 Factorials Permutation Rule Combination Rule Probability and Counting Rules P 1045 - 1047 CHAPTER : DISCRETE PROBABILITY DISTRIBUTIONS Exercises 16-2: 1-13, 21, 29-36 Exercises 16-3: 1-9 Exercises 16-5: 1-48 Exercise 16-6: 1- 7 A hand out will be provided for this chapter Probability Distributions W13 W 14 Probability Distributions The mean, variance, Standard Deviation and Expectation The binomial Distribution A Binomial experiment A Binomial Distribution The Binomial probability Formula CHAPTER 17: THE NORMAL DISTRIBUTION W15 W16 Sections 17-1, 17-2 & 17-3 Introduction Properties of a Normal Distribution The Standard Normal Distribution P 1060 - 1074 Section 17-4: Applications of the Normal Distribution Finding probabilities for a normally distributed variable Finding specific data values for given percentages or probabilities W17/W 18 Exercises 17-3: 1–5 7 – 49 (Odd ones only) Exercises 17-4: 1-10 16-20 Catch-up – Revision FINAL 2