This course focuses on statistical reasoning and the solving of problems using real-world data 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 must 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: A student in this course should be college-ready in mathematics as assessed by local institutions (for example: Intermediate Algebra with a C or better, placement, co-requisite course, multiple measures, transitional mathematics competencies, PMGE, or professional organization recommendations, etc.). Policies on the acceptance of AP credit vary among academic programs and from institution to institution, so AP credit toward the GECC or major requirements is not guaranteed. A score of 3 or higher on the AP Statistics exam may be considered as equivalent to successful completion of postsecondary courses approved for IAI GECC Ml 902.Feb 2016
Last Revision: 10/27/2023 - Minor punctuation changes.Previous Revision: Panel rephrased the technology requirements of this course in Fall 2018 due confusion in course review during the semester. The Fall 2018 tweaks are effecting Spring 2019. The primary Spring 2018 change was to add some technology wording. This wording was refined. See the bolded section of the description