Introduction to Statistics

Catalog description

Sources and types of quantitative data; descriptive statistics: graphic displays and frequency distributions, measures of central tendency and variation; samples and populations; shapes of distributions (bimodal, skewness, kurtosis); probability and statistical decision making; sampling distributions (binomial, F, normal, Students,T, U, chi-square); inferential statistics: approximating percentages, estimating procedures, testing hypotheses for differences or relationships (including regression and trend analyses); tests to check model assumptions; correlation versus causation; lying with statistics.