Probability and Statistics
Course Objective:
To provide the students with practical knowledge of the principles and concept of probability and statistics and their applications in engineering field.
 Descriptive Statistics and Basic Probability(6 hours)
 Introductions in statistics and its importance in engineering
 Describing data with graphs (bar, pie, line diagram, box plot)
 Describing data with numerical measure (measuring center, measuring variability)
 Basic probability additive law, multiplic active law, Baye’s theorem
 Discrete Probability Distribution(6 hours)
 Binomial probability distributions
 Negative binomial distribution
 Poison distribution
 Hyper geometric distributions
 Continuous Probability Distributions(6 hours)
 Continuous random variable and probability densities
 Normal distribution
 Gama distribution
 Chisquare distribution
 Sampling Distribution(5 hours)
 Population and sample
 Central limit theorems
 Sampling distribution of sampling proportion
 Sampling distributing of sampling proportion
 Correlation and regression(6 hours)
 Least square methods
 An analysis of variance of linear regression model
 Inferences concerning least square method
 Multiple correlation and regression
 Inference concerning mean(6 hours)
 Point estimation and interval estimation
 Test of hypothesis
 Hypothesis test concerning one mean
 Hypothesis test concerning two mean
 One way ANOVA
 Inference concerning proportion(6 hours)
 Estimation of proportions
 Hypotheses concerning one proportion
 Hypotheses concerning two proportions
 Chisquare test of independence
 Application of computer on statistical data computing(4 hours)
 Application of computer in computing statistical problem e.g. Scientific
 Calculator, EXCEL, SPSS, Matlab, etc.
References:
 Richard A. Johnson, “Probability and statistics for engineers 7th edition, Miller and Freund’s publication
 Jay L devorce, probability and statistics for engineering and the sciences, brooks/ Cole publishing company, Monterey, California, 1982.
 Richard. Levin, David s Rubin, statistics for management. Prentice hall publication
 Mendenhall beaver, introduction probability and statistics 12th edition, Thomson brooks/Cole
Evaluation scheme:
The questions will cover the entire chapter of the syllabus. The evaluation scheme will be as indicated in the table below:
Chapter 
Teaching hour 
Marks Distribution* 
1 
6 
12 
2 
6 
10 
3 
6 
10 
4 
6 
10 
5 
6 
10 
6 
6 
10 
7 
6 
10 
8 
4 
8 
Total 
45 
80 
*Note: There may be mirror deviation in marks distribution
