Chapter 10
Factorial Experiments
Week 14
L1: Factorial Experiments
L2: 22 Factorial Design,
Regression Model
1
Learning Outcomes:
At the end of the lesson student should be
able to:
 Design and conduct factorial experiments
involving two factors using fa
Chapter 10
One Way ANOVA
Week 13
L1: One Way ANOVA
1
Learning Outcomes:
At the end of the lesson student should be
able to:
 Understand the concept of oneway
ANOVA.
 Know how to construct ANOVA table.
 Understand how to use ANOVA to analyze
data from
Chapter 6
Hypothesis Testing
Single Population
Week 9
L6  Confidence Interval for Mean,
Variance Unknown
L7  Hypothesis Test about a Proportion
and Hypothesis Test for variance
Jan 5, 2016
1
Learning Outcomes:
At the end of the lesson student should be
Chapter 9
Multiple Linear
Regression Analysis
Week 12
L1 Multiple Linear Regression
1
Lecture 3
Learning Outcomes:
At the end of the lesson, the student should be able to
Use the least squares method to estimate a multiple
linear model
Carry out tests to
Chapter 6
Hypothesis Testing
Week 9
L3  Hypothesis Test on Normal
Mean, Variance Known
P value
Learning Outcomes:
At the end of the lesson student should be
able to

Perform hypothesis test (one sided and two
sided) on the mean of a normal distributio
Chapter 8
Regression Analysis
Week 11
L1 Simple Linear Regression:
Least squares method,
Methods to Assess the Model
Lecture 1
Learning Outcomes:
At the end of the lesson, the student should be able to
Use the least squares method to estimate
a linear mod
Chapter 8
Regression Analysis
Week 11
L2 Simple Linear Regression:
ANOVA table,
Confidence Interval
Lecture 2
Learning Outcomes:
At the end of the lesson, the student should be able to
Carry out ANOVA tests to determine if the model
obtained is an adequat
Chapter 7
Hypothesis Testing Two
Populations
Week 10
L3:  Hypothesis Testing Between two means
(2 populations, variance unknown but not
equal)
 Hypothesis Testing Between two means
(2 populations, variance unknown large
samples)
 Hypothesis TestingSep
Chapter 7
Hypothesis Testing
 Two Populations
Week 10
L
1: Hyp Testing mean ( 2 populations, variance
known)
L2: Hyp Testing mean ( 2 populations, variance
unknown but equal)
September 2013
Learning Objectives
At the end of the lesson student should be a
Chapter 6
Hypothesis Testing
Single Population
Week 7
L4  Confidence Interval
L5  Hypothesis Test about the Normal
Mean, Variance Unknown
Jan 5, 2016
1
Learning Outcomes:
At the end of the lesson student should be
able
to
 Determine the confidence int
Chapter 5
Statistical Process Control
Week 7
L2 & L3  Xbar and R Charts
September 2013
1
Week 8 :
Learning Outcomes:
At the end of the lesson student should be able to

understand the concept of SPC especially for
Xbar and R charts
calculate and plot
Chapter 5
Random Sample
Central Limit Theorem
Week 7
September 2013
1
Week 5 :
Learning Outcomes:
At the end of the lesson student should be able to
 Describe the terms random sample, statistics
and sampling distribution.
Understand the concept of centra
CHAPTER 4
CONTINUOUS PROBABILITY
DISTRIBUTION
Week
L2 Nonstandard6Normal Distributions
And other continuous distributions
September 2013
Learning Objectives:
At the end of the lecture, you will be able to :
 transform a nonstandard normal distribution t
Chapter 6
Hypothesis Testing
Single Population
Week 8
L2 Introduction to
hypothesis testing
Learning Outcomes:
At the end of the lesson student should be
able to
 Describe the hypothesis testing;
 define what is types of error in
hypothesis testing;

CHAPTER 4
CONTINUOUS PROBABILITY
DISTRIBUTION
Week
L2 Nonstandard6Normal Distributions
And other continuous distributions
September 2013
Learning Objectives:
At the end of the lecture, you will be able to :
 transform a nonstandard normal distribution t
Chapter 6
Decision Making for a
Single Sample
Week 8
L1  Point Estimate
Lecture 1
Learning Outcomes:
At the end of the lesson student should be
able to
Estimate population mean;
Differentiate between biased and
unbiased estimator;
Identify the best estim
CHAPTER 4
CONTINUOUS PROBABILITY
DISTRIBUTION
Week 6
L1 Exponential and Normal
distribution
L2 Nonstandard Normal Distributions
And other continuous distributions
Exponential and Normal
Distribution
Learning Objectives:
At the end of the lecture, you wi
CHAPTER 4
CONTINUOUS PROBABILITY
DISTRIBUTION
Week 6
L1 Exponential and Normal
distribution
L2 Nonstandard Normal Distributions
And other continuous distributions
Exponential and Normal
Distribution
Learning Objectives:
At the end of the lecture, you wi
CHAPTER 2
DESCRIPTIVE STATISTICS
WEEK 3
L2  Graphical display of Data
Learning Objectives:
At the end of the lesson, students should be able to:
Construct and interpret pictorial and tabular display of data
Pictorial & Tabular Methods
1. StemandLeaf Di
CHAPTER 3
DISCRETE PROBABILITY
DISTRIBUTION
Week Poisson
L 1 Binomial and5
DISCRETE PROBABILITY
DISTRIBUTION
Learning Objectives:
:
At the end of the lecture, you will be able to :
 select an appropriate discrete probability
distribution
* binomial distr
CHAPTER 2
DESCRIPTIVE STATISTICS
WEEK 3
L2  Graphical display of Data
Learning Objectives:
At the end of the lesson, students should be able to:
Construct and interpret pictorial and tabular display of data
Pictorial & Tabular Methods
1. StemandLeaf Di
CHAPTER 3
DISCRETE PROBABILITY
DISTRIBUTION
Week Poisson
L 1 Binomial and5
DISCRETE PROBABILITY
DISTRIBUTION
Learning Objectives:
:
At the end of the lecture, you will be able to :
 select an appropriate discrete probability
distribution
* binomial distr
Chapter 3
Random Variable
Week 4
L2 Continuous random variable
CONTINUOUS RANDOM
VARIABLES
Learning Objectives:
At the end of the lecture, you will be able to :
 describe continuous random variables
 calculate their probability distribution and
their
c
Chapter 3
Random Variable
Week 4
L2 Continuous random variable
CONTINUOUS RANDOM
VARIABLES
Learning Objectives:
At the end of the lecture, you will be able to :
 describe continuous random variables
 calculate their probability distribution and
their
c
Chapter 3
Random Variable
Week 4
L1 Discrete random variable
L2 Continuous random variable
DISCRETE RANDOM VARIABLES
Learning Objectives:
At the end of the lecture, you will be able to :
 describe types of random variables
 calculate their probability
Chapter 3
Random Variable
Week 4
L2 Continuous random variable
CONTINUOUS RANDOM
VARIABLES
Learning Objectives:
At the end of the lecture, you will be able to :
 describe continuous random variables
 calculate their probability distribution and
their
c
Chapter 1
Basic Probability
Week 2
Lecture 5:
Multiplicative Law
Total Probability Theorem
Bayes Theorem
Jan 5, 2016
1
Learning Objectives
Apply multiplicative law to fine probability of certain
events.
Apply a total probability rule to find the probabili
Chapter 1
Basic Probability
Week 2
Lecture 5:
Multiplicative Law
Total Probability Theorem
Bayes Theorem
Jan 5, 2016
1
Learning Objectives
Apply multiplicative law to fine probability of certain
events.
Apply a total probability rule to find the probabili
CHAPTER 1
DESCRIPTIVE STATISTICS
L1 Numerical Summary of Data
L2  Data Display and summary
1
Learning Objectives:
At the end of the lesson, students should be able to:
 Explain
the concepts of
 sample mean, population mean,
 sample variance, populati
CHAPTER 1
DESCRIPTIVE STATISTICS
L1 Numerical Summary of Data
L2  Data Display and summary
1
Learning Objectives:
At the end of the lesson, students should be able to:
 Explain
the concepts of
 sample mean, population mean,
 sample variance, populati