This course is an accelerated course that prepares students for transfer-level Statistics. Algebra for Statistics covers core concepts from arithmetic, pre-algebra, elementary and intermediate algebra and descriptive statistics that are needed to understand the basics of college-level statistics. Topics include ratios, rates, and proportional reasoning, arithmetic reasoning using fractions, decimals and percents, evaluating expressions, analyzing algebraic forms to understand statistical measures, functions, use of linear and exponential functions to model bivariate data, use of logarithms, logarithmic scales and semi-log plots, graphical and numerical descriptive statistics for quantitative and categorical data. This course is designed for students who do not want to major in math, science, computer science, or business.

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