Application of descriptive and inferential statistics in education. Focuses on the calculation and use of measures of central tendency and variability, and presents statistical tools typically used in educational research including selected parametric and non-parametric techniques.
(This description is from theINST Web Site - EDUC 6032. (n.d.). School of Education. Univerisy of Houston- Clear Lake. Retrieved November 6, 2006, from http://www.uhcl.edu/pls/portal/Profiles.xdr_courseDetails?ps_crsRub=EDUC%206032)

Applied Statistics course work consisted of 3 exams and a final exam.

The course objectives are were:

1. Identify different levels of measurement (nominal, ordinal, interval, and ratio).
2. Identify different types of variables (continuous vs. discrete; independent vs. dependent).
3. Identify descriptive statistics (measurements of central tendency; mean, median, mode; measures of variability; variance, standard deviation, range) and understand their meaning.
4. Know how to calculate descriptive statistics.
5. Understand the relationship between probability and the distribution of data with particular attention to the normal and t distributions.
6. Identify inferential statistical tests (independent samples t-test, dependent samples t-test, one-way ANOVA, Pearson's r, simple regression, chi-square, and possibly others).
7. Know when to use the various types of inferential statistical tests.
8. Know how to report statistical results in APA style.