Introductory Statistics for the Social and Behavioral Sciences
An introduction to the basic concepts of descriptive and inferential statistics which provides conceptual understanding of the appropriate applications of statistics in research, as well as in the social behavioral sciences and the related fields of psychology, political science, business, economics, education, criminal justice, and health science and health care. Areas of study include descriptive procedures; probability and binomial distributions; correlation and regression; normal distribution; sampling distribution; central limit theorem; hypothesis testing using interval estimation, z-test, significance testing of correlations, one- and two-sample t-test, ANOVA, chi-square, and other nonparametric techniques; concepts of sample space; mean and variance of discrete distribution; probabilities using normal and t-distributions; determining and interpreting levels of statistical significance including p-values; formulating hypothesis test involving samples from one and two populations; and critical analyses of related research designs. This course also provides supervised computer practice designed to assist students in data preparation, including tables and graphical representations, statistical computations, and data analysis. Students will interpret computerized results and apply them in generating conclusions.
