Course Probability & Statistics Sem 4

advertisement
Course
Probability & Statistics
Sem
4
Live Class Faculty Sanjeev Sabnis, IITB
Session No.
Date
1
21-Jan-14
2
3
23-Jan-14
28-Jan-14
4
5
6
30-Jan-14
4-Feb-14
6-Feb-14
7
8
9
11-Feb-14
13-Feb-14
18-Feb-14
10
11
20-Feb-14
25-Feb-14
12
27-Feb-14
13
4-Mar-14
14
6-Mar-14
15
16
17
18
19
20
11-Mar-14
13-Mar-14
18-Mar-14
20-Mar-14
25-Mar-14
27-Mar-14
Prep Material
Pre-requisites
(i) Introduction to Probability and Statistics for
Statistics and its Role in Scientific Inequiry/Description of data Engineers and Scientists by Sheldon Ross, 3rd
Edition, 2005,
Tuesday 12:00 NOON - 1:00 PM sets by Graphs and Tables
Knowledge of elementary
Summerizing Data sets using Measures of Central Tendency
Academic Press.
Thursday 12:00 NOON - 1:00 PM and Variation
calculus
Tuesday 12:00 NOON - 1:00 PM Elements of Probability/Axioms of Probability
Day
Time
Topic
Thursday 12:00 NOON - 1:00 PM Properties of Probability
Tuesday 12:00 NOON - 1:00 PM Counting Techniques/Examples
Thursday 12:00 NOON - 1:00 PM Conditional Probability/Bayes' Formula/Examples
Independent Events/Random Variables/Types of Random
Tuesday 12:00 NOON - 1:00 PM Variables
Thursday 12:00 NOON - 1:00 PM Cumulative Distribution Function/Examples
Tuesday 12:00 NOON - 1:00 PM Expected values and its properties/Examples
Bernoulli, Binomila, Poisson, Geometric, Hypergeometric
Thursday 12:00 NOON - 1:00 PM random variables/Examples
Tuesday 12:00 NOON - 1:00 PM Normal Random Variables/Examples
Exponential, Gamma, chi-square , t and F
Thursday 12:00 NOON - 1:00 PM distributions/Examples
The normal approximation to the Binomial
distribution/Random Sampling/Statistiscal Sampling
Tuesday 12:00 NOON - 1:00 PM Distributions/Examples
Distribution of the Sample Mean and the Central Limit
Thursday 12:00 NOON - 1:00 PM Theorem/Checking the assumption of Normal Population
Sampling Distribution from a Normal Population/ Sampling
Tuesday 12:00 NOON - 1:00 PM from a Finite Population
Thursday 12:00 NOON - 1:00 PM
Tuesday 12:00 NOON - 1:00 PM
Thursday 12:00 NOON - 1:00 PM
Tuesday 12:00 NOON - 1:00 PM
Thursday 12:00 NOON - 1:00 PM
(ii) Probability and Statistics for Engineers by
Jay L. Devore, 2008, Cengage Learning.
Download