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MTH 165 — Elementary Statistics

4 credits · 4 hours

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. (Credit will be given for either MTH 162 or MTH 165 or MTH 225 , but not for more than one of these courses.) IAI M1 902 Prerequisite: Placement into college-level mathematics without support.

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