DATA363
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DATA363 - Introduction to Statistical Methods
Course Description
An applications-oriented calculus-based statistics course with an introduction to statistical software. Course topics: Organizing data numerically and visually. Axioms of probability, conditional probability and independence. Random variables and expectation with emphasis on parametric families. Law of large numbers and central limit theorem. Estimation, bias and variance, confidence intervals. Hypothesis testing, significance and power. Likelihood ratio tests such as proportion tests, t-tests, chi-square tests, and analysis of variance.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Course Attributes
CE - CL (Cross Listed)
Enrollment Requirements
017776
Cross Listed Courses
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Fall, Spring, Summer
Typically Offered Distance Campus
Spring
Typically Offered UA Online Campus
Fall, Summer
Typically Offered Phoenix Campus
Not Offered
Typically Offered South Campus
Not Offered
Typically Offered Community Campus
Not Offered