This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.
The following problems illustrate concepts that a student entering Math 119 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.
Click the statement below that best represents your readiness for this class.