Syllabus

 

WEEK TOPICS CHAPTERS
1
   

Probability : Sample Space, Events, Counting , Probability of an Event, Additive Rules


   		 2.1 - 2.5
2
   

Conditional Probability, Independence, Product Rules, Bayes’ Rule 


   		 2.6 - 2.7
3
   

Random Variables and Probability Distributions


   		 3.1 - 3.3
4
   

Joint Probability Distributions


   		 3.4
5
   

Mathematical Expectation


   		 4.1 - 4.4
6
   

Discrete Probability Distributions: Binomial and Multinomial Distributions


   		 5.1 - 5.2
7
   

Discrete Probability Distributions: Hypergeometric Distribution, Negative Binomial


   		 5.3 - 5.4
8
   

Discrete Probability Distributions : Geometric Distribution, Poisson Distribution 


   		 5.5
9
   

Continuous Probability Distributions : Normal Distribution


   		 6.1 - 6.4
10
   

Continuous Probability Distributions : Normal Approximation to the Binomial


   		 6.5
11
   

Continuous Probability Distributions : Gamma and Exponential Distributions


   		 6.6 - 6.7
12
   

Sampling Distributions : Sample Distribution of Means and The Central Limit Theorem , Sample Distribution of and


   		 8.1 - 8.4
13
   

One- and Two-Sample Estimation Problems :Statistical Inference, Estimating the Mean, Confidence Intervals, Prediction Intervals, Estimating the Variance


   		 9.1 - 9.4
14
   

One- and Two-Sample Tests of Hypotheses: General Concepts, Testing a Statistical Hypothesis, Single Sample,Tests Concerning a Single Mean


   		 9.5 - 9.7