STAT135
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STAT 135 - Concepts of Statistics
Course Title
Concepts of Statistics
Course Description
A comprehensive survey course in statistical theory and methodology. Topics include descriptive statistics, maximum likelihood estimation, non-parametric methods, introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods and least squares estimation. The laboratory includes computer-based data-analytic applications to science and engineering.
Minimum Units
4
Maximum Units
4
Grading Basis
Default Letter Grade; P/NP Option
American Cultures Requirement
No
Reading and Composition Requirement
None of the Reading and Composition Requirement
Prerequisites
Statistics 134 and linear algebra (Mathematics 54 or equivalent). Statistics 133 strongly recommended.
Repeat Rules
Course is not repeatable for credit.
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours
3
Lecture Hours Min
3
Lecture Hours Max
3
Laboratory Hours
2
Laboratory Hours Min
2
Laboratory Hours Max
2
Outside Work Hours
7
Outside Work Hours Min
7
Outside Work Hours Max
7
Term
Summer
Weeks
8 weeks
Weeks
8
Lecture Hours
6
Lecture Hours Min
6
Lecture Hours Max
6
Laboratory Hours
4
Laboratory Hours Min
4
Laboratory Hours Max
4
Outside Work Hours
12.5
Outside Work Hours Min
12.5
Outside Work Hours Max
12.5