Learning Outcomes Upon the completion of these courses, the students should be able to:
be able to differentiate population from sample as well as point from interval estimate;
be able to test for hypothesis concerning population mean and proportions for large and small samples;
be able to compute regression and obtain the fitted line. Likewise, the computation for correlation coefficient is well understood; and
be familiar with the fundamentals of time series analysis. Course Contents 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.
