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STAT 498: Senior Project
5.00 Credits
University of Southern California
Under faculty direction, student participates in on-the-job experience in data collection, management, and presentation. Requires written summary and oral presentation.
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STAT 498 - Senior Project
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STAT 499: Directed Study/Special Project
1.00 - 4.00 Credits
University of Southern California
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.
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STAT 499 - Directed Study/Special Project
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STAT 505: Statistics in Health Administration
3.00 Credits
University of Southern California
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.
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STAT 505 - Statistics in Health Administration
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STAT 509: General Statistics
4.00 Credits
University of Southern California
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.
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STAT 509 - General Statistics
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STAT 514: Intermediate Statistics for Health-Science Data
3.00 Credits
University of Southern California
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.
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STAT 514 - Intermediate Statistics for Health-Science Data
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STAT 515: Grant-and Contract-Proposal Writing
3.00 Credits
University of Southern California
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.
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STAT 515 - Grant-and Contract-Proposal Writing
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STAT 521: Biostatistics I
4.00 Credits
University of Southern California
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.
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STAT 521 - Biostatistics I
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STAT 522: Biostatistics II
4.00 Credits
University of Southern California
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.
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STAT 522 - Biostatistics II
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STAT 523: Biostatistics III
4.00 Credits
University of Southern California
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.
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STAT 523 - Biostatistics III
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STAT 525: Applied Multivariate Analysis
3.00 Credits
University of Southern California
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.
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STAT 525 - Applied Multivariate Analysis
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