Statistical Inference I

At the end of this course, students should be able to: 1. differentiate population from sample as well as point from interval estimate; 2. Be able to test for hypothesis concerning population mean and proportions for large and small samples; 3. Be able to compute regression and obtain the fitted line. Likewise, the computation for correlation coefficient well understood; and 4. Be familiar with the fundamentals of time series analysis.

Population and samples. Random sampling distributions, estimation (point and interval) and tests of hypotheses concerning population mean and proportion (one and two large sample cases). Regression and correlation. Elementary time series analysis.