MTH 1131Introduction to Statistics

Catalog

This course focuses on statistical reasoning and the solving of real-life problems, rather than on computational skills. The use of technology-based computations (more advanced than a basic scientific calculator, such as graphing calculators with a statistical package, spreadsheets, or statistical computing software) is required with an emphasis on interpretation and evaluation of statistical results. Topics include data collection processes (observational studies, experimental design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, and least squares regression, basic probability theory, probability distributions (normal distributions and normal curve, binomial distribution), confidence intervals and hypothesis tests using p-values. PREREQUISITE: Two years of college preparatory algebra with a grade of C or better, or sufficient score on the placement test, or consent of instructor. Lecture. IAI: M1 902