course
Statistical methods (STAT 105)
By the end of this course, student will be able to:
- Understanding the concepts of the statistical inference and applications to real data.
- Estimating the unknown parameters of the population.
- Formulating and testing the statistical hypothesis.
- Running the statistical tests based on a given sample and calculates the statistical measures of the sample.
- Understand the concepts of one and two way analysis of variance.
- Understand the concepts of correlation and regression.
- 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