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STAT253  Probability and Statistics
20132014 Summer School
Introduction to Probability, Basic Definitions, Axioms of Probability and
Combinatorial Concept; Describing Data With Graphs; Describing Data With
Numerical Measures, Describing Bivariate Data; Conditional Probability and
Independence; Probability and Probability Distributions; Discrete Random
Variables and Probability Distributions; Continuous Random Variables and
Probability Distributions; The Normal Probability Distribution; Jointly
Distributed Random Variables; Expected Values, Covariance and Correlation;
Sampling Distributions; LargeSample Estimation; LargeSample Tests of
Hypotheses; Inference From Small Samples.
Textbooks
Essential Text:
(1) Mendenhall, Beaver, Beaver, Introduction to Probability and Statistics, 14th Ed., Brooks/Cole, Cengage Learning, 2013
Recommended:
(2) Walpole, Myers, Myers, Ye, Essentials of Probability and Statistics for Engineers and Scientists, Pearson Education, 2013
(3) Sheldon Ross, A First Course in Probability, 9th Ed., Pearson, 2013/2014
[20140818] 2nd Midterm Exam results are announced.
[20140725] 1st Midterm Exam results are announced.
[20140714] Lectures on 15th, 18th, 22nd July 2014 will start at 09:00 and end at 12:50 as fourhour lectures.
[20140707] The lectures on July 08, 2014 (Tuesday) have been postponed to a date that will be determined and announced later.
[20140707] Lecture hours rescheduled to 10:0013:00.
[20140630]
Complete data set for the exercises can be downloaded
here (domain restricted access).
[20140630]
Attendance is required at all class meetings.
Week 
Lectures 
Readings 
Assignments 
1 Tuesday 

Mendenhall Ch.1 

1 Friday 
Describing Data With Graphs 
Mendenhall Ch.1 

2 Tuesday 
Describing Data With Numerical Measures,
Describing Bivariate Data

Mendenhall Ch.2 and Ch.3 

2 Friday 
Conditional Probability and Independence 
Mendenhall Ch.4 

3 Tuesday 
Probability and Probability Distributions
Jointly Distributed Random Variables
Expected Values, Covariance and Correlation 
Mendenhall Ch.36 

3 Friday 
Discrete Random Variables and Probability Distributions 
Mendenhall Ch.5 

4 Tuesday 
Continuous Random Variables and Probability Distributions
The Normal Probability Distribution 
Mendenhall Ch.6 

4 Friday 
Midterm 

5 Tuesday 
Sampling Distributions 
Mendenhall Ch.7 

5 Friday 
LargeSample Estimation 
Mendenhall Ch.8 

6 Tuesday 
LargeSample Tests of Hypotheses 
Mendenhall Ch.9 

6 Friday 
Midterm 

7 Tuesday 
Inference From Small Samples 
Mendenhall Ch.10 

7 Friday 
The Analysis of Variance 
Mendenhall Ch.11  
8 
Final Exam 
Applets (at textbook’s website)