|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
5.00 Credits
Under faculty direction, student participates in on-the-job experience in data collection, management, and presentation. Requires written summary and oral presentation.
-
1.00 - 4.00 Credits
Individual arrangements for undergraduate, upper-division students to study under the guidance of a program faculty member. May include readings, literature review, or other special projects. Minimum of thirty hours required for each unit of credit. Maximum of 4 units applicable to any undergraduate degree program.
-
3.00 Credits
Exposes students to basic descriptive statistical concepts such as measures of central tendency and dispersion, frequency distributions and graphing. Students will also be exposed to inferential concepts such as p-values and tests of statistical significance: t-tests, correlation, regression, ANOVA and chi-square. Probability, sample size calculation, sampling, and surveys, particularly market surveys, will also be covered.
-
4.00 Credits
Fundamental procedures of collecting, summarizing, presenting, analyzing, and interpreting data. Sampling, measures of central tendency and variation, probability, normal distribution, sampling distribution and standard error, confidence intervals, hypothesis testing, t-test, chi-square, and correlation. Interpretation of computer output for solution of statistical problems. Use and application of the computer to conduct analyses using a statistical package. Prerequisite: Competency examination in mathematics.
-
3.00 Credits
Selected topics in multiple regression, logistic regression, ANOVA, ANCOVA, and nonparametric tests. Emphasizes understanding, selection, and application of statistical procedures and interpretation of computer output. Prerequisite: STAT 549.
-
3.00 Credits
Basic grantsmanship skills, sources of funding information, use of a prospectus, and preparation of a competitive proposal for grants and contracts. Applies aspects of research design, objectives and methodology, data management, evaluation, budget development, and peer-review procedures to the preparation of an actual proposal.
-
4.00 Credits
Fundamental procedures of collecting, tabulating, and presenting data. Measures of central tendency and variation, normal distribution, sampling, t-test, confidence intervals, chi-square, correlation, and regression. Emphasis on statistical inference. Prerequisite: STAT 548* or STAT 549* (*may be taken concurrently); or consent of instructor.
-
4.00 Credits
Analysis of variance (fixed-effects model S) with multiple comparisons, including orthogonal contrasts, factorial designs, analysis of covariance, multiple and partial correlation, log transformations, and polynomial regression. Power analysis and sample-size determination for these models. Prerequisite: STAT 521.
-
4.00 Credits
Applies the general linear model to a number of analysis-of-variance, regression, and multivariate procedures, including repeated measures and mixed models. Power and sample-size determination of these models. Research-design issues. Computer implementation. Prerequisite: STAT 522.
-
3.00 Credits
Multivariate normal distribution, discriminant analysis, principal-components analysis, factor analysis, and canonical correlation. Emphasizes application of these analyses and interpretation of results. Prerequisite: STAT 522.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|