MATH213
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Applied Statistics
Course Title
Applied Statistics
Course Description
Introduction to statistics and probability designed for all majors. Topics include measures of central tendency and dispersion, combinations and permutations, discrete and continuous probability distributions, normal probability distributions sampling distributions, testing hypotheses, Chi-Square applications, linear regression and correlation.
Pass/Fail Only?
No
Faculty Permission Required?
No
Credit Hours Min
3
Instructional Method
Face-To-Face
Name
Learning Objective 1
Objective
Employ appropriate mathematical tools such as symbols, functions, models, and graphs to solve quantitative problems likely to be encountered in everyday life, other disciplines, or in chosen careers, and make reasoned decisions based on findings.
Name
Learning Objective 2
Objective
Apply aspects of logical thinking, such as analyzing evidence, reasoning carefully, understanding/judging validity of arguments, questioning assumptions, detecting fallacies, and evaluating risks, to the solution of quantitative problems.
Name
Learning Objective 3
Objective
Reason correctly with data, employing numbers in measurement, recognizing sources of error, using estimation where appropriate, and distinguishing between correct and incorrect conclusions