This course will help students gain an understanding of elementary probability theory and how to apply it to analyze statistical problems. It also provides an undergraduate student who is preparing for graduate study in statistical concepts to include measurements of location and dispersion, probability, probability distributions, sampling, estimation, hypothesis testing, regression, and correlation analysis.
Bachelor of Computer Science - 132 CRs
Michael J. Crawley, Statistics: An Introduction using R, Wiley.
content serial | Description |
---|---|
1 | Sampling and probability (Random sampling- Probability calculations and combinatory) |
2 | Distributions (Discrete- Continuous) |
3 | Introduction to R |
4 | Statistics and graphical display for single data (Histograms- Q-Q plots- Boxplots) |
5 | Statistics and graphical display for grouped data (Histograms- boxplots- Stripcharts) |
6 | Generating tables and Marginal tables and relative frequency |
7 | Correlation |
8 | Correlation (Pearson -Spearman) and Simple linear regression |
9 | Prediction and confidence bands |
10 | One-sample T- test |
11 | Two-sample T-test |
12 | The paired T-test |
13 | The paired T-test |
14 | Wilcoxon signed-rank test |
15 | Chi-square test - Goodness of fit |
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