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Apr 20, 2024
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STA 102 - Basic Mathematical Statistics
This course includes counting (permutation and combination), basic probability, conditional probability (Bayes’ rule) and commonly used probability distributions such as the binomial distribution (discrete) and the normal distribution (continuous). The course also covers the nature of statistics, random variables, data organization (such as Pie chart, Bar Graph and Histograms) and descriptive measures (range, mean, median, mode and standard deviation). The student will be exposed to tools such as Excel and SPSS. Applications to social sciences are covered through case studies [3–0, 3 cr.]
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Computer Science & Mathematics Department

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