Statistical methods (STAT 105)

 

By the end of this course, student will be able to:

1. Understanding the concepts of the statistical inference and applications to real data.
2.   Estimating the unknown parameters of the population.
3. Formulating and testing the statistical hypothesis.
4.  Running the statistical tests based on a given sample and calculates the statistical measures of the sample.
5.  Understand the concepts of one and two way analysis of variance.
6.  Understand the concepts of correlation and regression.
7. Preparing and writing the statistical reports.

In this course, we want to study the following subjects

- Some Statistical distributions
- Sampling distributions
- Central limit theorem
- Chebychev's inequality
- Interval estimation
- Testing hypotheses (two populations case)
- Introduction to experimental designs (CRD and RBD)
- Analysis of variance (one and two ways)
- Regression (simple)
- Correlation (Pearson and Spearman)
- Chi square tests and application
- Some nonparametric tests

Reference:

Probability and Statistics for Engineering and the Sciences, (8th edition) by Jay L. Devore. Duxbury Press, 2003