Overview:

This course covers topics in introductory statistics including descriptive statistics (measures of center, variability, and shape, and the relationship between two variables)—describing both graphically and numerically, probability and probability distributions, discrete distributions, Normal probability distribution, sampling distributions, large-sample estimation, large-sample tests of hypotheses, inference from small samples, regression and correlation, and time permitting Analysis of Variance (ANOVA)/Chi-Square tests. Click here to view a sample syllabus

This course covers topics in introductory statistics including descriptive statistics (measures of center, variability, and shape, and the relationship between two variables)—describing both graphically and numerically, probability and probability distributions, discrete distributions, Normal probability distribution, sampling distributions, large-sample estimation, large-sample tests of hypotheses, inference from small samples, regression and correlation, and time permitting Analysis of Variance (ANOVA)/Chi-Square tests. Click here to view a sample syllabus