University General Course Catalog 2016-2017 
    
    Dec 03, 2022  
University General Course Catalog 2016-2017 ARCHIVED CATALOG: LINKS AND CONTENT ARE OUT OF DATE. CHECK WITH YOUR ADVISOR.

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APST 270 - Introduction to Statistical Methods

(4 units) CO2
Principles of statistics and application to the fields of biology; engineering; physical, life and environmental sciences; and economics. Emphasis is given to computer applications.

Prerequisite(s): ACT Math score of 27 or SAT Math score of 610 or Accuplacer EA of 80 and CL of 84 or MATH 126  or MATH 127  or MATH 128  or MATH 176  or MATH 181 .

Units of Lecture: 3
Units of Laboratory/Studio: 1
Core Status: CO2
Offered: Every Fall and Spring
Student Learning Outcomes:
Upon completion of this course:
1. Students will be able to engage in critical thinking to justify choice of statistics, legitimate data manipulations, data visualization and expressing verbal variables in algebraic terms; compute statistics using algebraic formulas and statistical software; identify results; design and create appropriate graphics and tables for descriptive statistics.
2. Students will be able to work with algebraic formulas to make basic probability calculations; identify and generate classic probability distributions; compare sample data to the normal distribution; evaluate the degree of similarity and defend that evaluation.
3. Students will be able to provide a foundation (including interpreting a verbal description of a research problem into statistical terms); formulate hypotheses both algebraically and verbally; evaluate alternative candidate statistics (including the assumptions) and defend their choice. Statistics include difference-of-means test (“t-test”), difference-of-proportions test, regression, analysis of variance, chi-squared, and, where appropriate, non-parametric analogs.
4. Students will be able to compute the statistical analyses chosen; identify relevant estimates in output from statistical software; design and produce appropriately labeled and clearly presented graphs and tables of statistical results; write correct summaries of and meaningful conclusions about statistical results, drawing both on hypothesis tests and on confidence intervals.


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