California State University, Los Angeles 3 credits MATH
Graphical display of data, measures of variation, correlation, least-squares regression, design of samples and experiments, basic rules of probability, normal distribution, central limit theorem, sampling distributions, confidence intervals, hypothesis tests, programming in data science and statistics. Prerequisite: Any one of these courses: ESM 1082 , MATH 1040 , MATH 1081 , MATH 1082 , or MATH 2110 Needs Permission to Enroll: No Special Fee Applied: No This is not a sustainability-related course. Please CLICK HERE for the articulation information regarding this course. [3]
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