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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