Emphasis is placed on statistical reasoning and the uses and misuses of statistics.
A foundation in data analysis and probability models is followed by elementary applications of confidence intervals, hypothesis testing, correlation, and regression. An introduction to statistics for behavioral, biological, and social scientists. Topics include descriptive statistics, probability and inferential statistics including hypothesis testing, analysis of variance, and contingency tables. Basic concepts of probability and statistics useful in the solution of engineering and applied science problems. Principles of planning and conducting surveys.