Descriptive statistics and graphs, probability and distributions. Sampling, hypothesis testing, and confidence intervals. Experimental design and analysis of variance. Regression and correlation, including multiple regression. Applications emphasized.
Extra Information: 3 lecture hours. This course cannot be taken for credit in any module in Data Science, Statistics, Actuarial Science, or Financial Modelling, other than the Minor in Applied Statistics, the Minor in Data Science, or the Certificate in Data Science.
Course Weight: 1.00
Subject Code: STATS
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