SEDS 531
Introduction to Statistical Data Processing
Organization and application of computers and statistical techniques to data processing. Data handling in terms of coding, preparation, acquisition (with and without computers), screening and reduction; summarization, tabulation and analysis; random variables, statistical estimation and hypothesis testing, enumerated data analysis, linear models (regression, correlation, analysis of variance).
| Week | Topics |
|---|---|
| 1 | Data; Classification, Summarization and Tabulation of Data; Descriptive Statistics and Coding |
| 2 | Introduction to Probability |
| 3 | Conditional Probability, Random Variables, Expected Values |
| 4 | Discrete Distributions, Binomial, Negative Binomial and Poisson Distributions |
| 5 | Continuous uniform, Normal, Gamma, Exponential and Weibull Distributions |
| 6 | Midterm |
| 7 | Introduction to Statistical Inference, Point Estimation, Interval Estimation |
| 8 | Tests of Hypotheses, Large Sample Tests |
| 9 | Tests of Hypotheses, Single Sample Tests, Two Sample Tests |
| 10 | Tests of Hypotheses, Small Sample Tests |
| 11 | Analysis of Categorical Data (Chi-Square Tests) |
| 12 | Simple Linear Regression and Correlation |
| 13 | Introduction to Multiple Linear Regression |
| 14 | Introduction to Experimentation, Analysis of Variance |