New York University 4 credits Math
An introduction to using statistics to understand the world around us. Formulating a hypothesis and collecting data, summarizing and visualizing, probability distributions, the central limit theorem and the normal distribution, hypothesis testing, confidence intervals, p-values, the power of an experiment, t-tests and comparing data sets, linear regression, machine learning methods. Assignments will use statistical software packages to analyze data, and throughout the semester, students will evaluate the implications and responsible practices of collecting and utilizing data. No previous experience with programming is necessary. Prerequisites: Minimum grade of C in MATH-UA 9 or minimum math SAT score of 670 or minimum ACT score of 30 or (minimum AP Calculus AB or BC score of 3) or minimum AP Precalculus score of 4 or MATH_PLCMT score of 100.
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