Learning Outcomes
Upon the completion of these courses, the students should be able to:
1. be able to 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 is well understood; and
4. 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.
