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STA 499: Senior Thesis: Supervised Consulting
1.00 - 3.00 Credits
Creighton University
May be repeated to a limit of six hours. P: DC.
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STA 499 - Senior Thesis: Supervised Consulting
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STA 513: Probability And Statistics In The Health Sciences
3.00 Credits
Creighton University
This course covers topics in probability and statistics considered useful to those students planning on a career in the health sciences. The topics covered include probability principles and distributions in health sciences, types of epidemiologic study designs, estimation of medical parameters in defined patient populations, test of hypothesis, measures and analysis of treatment of the sick, analysis of variance, methods of medical outcome prediction, and prospective, retrospective and cross-sectional studies of disease occurrence. P: MTH 246.
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STA 513 - Probability And Statistics In The Health Sciences
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STA 521: Computational Methods In Statistics
3.00 Credits
Creighton University
Use of packages of statistical programs, calculation of statistical tables. Monte Carlo methods. P: A course in statistics; CSC 113 or 221.
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STA 521 - Computational Methods In Statistics
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STA 525: Nonparametric Methods
3.00 Credits
Creighton University
Applications of nonparametric estimates, confidence, intervals, tests, and multiple comparison procedures. P: A course in statistics.
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STA 525 - Nonparametric Methods
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STA 527: Sample Surveys
3.00 Credits
Creighton University
Simple, systematic, stratified, and cluster random sampling; proportions; ratios; selection of sample size. P: A course in statistics.
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STA 527 - Sample Surveys
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STA 561: Mathematical Statistics I
3.00 Credits
Creighton University
Introduction to probability and probability distributions including techniques for finding expected values and variance of discrete and continuous variables. These distributions and their properties are examined to establish their application to applied statistical methods. P: MTH 246.
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STA 561 - Mathematical Statistics I
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STA 562: Mathematical Statistics II
3.00 Credits
Creighton University
Using probability distributions as a foundation and random sampling, methods for estimating distribution parameters are developed with applications to hypothesis testing. The course also includes an introduction to linear models, regression analysis, analysis of variance and design of experiments. P: STA 561.
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STA 562 - Mathematical Statistics II
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STA 563: Mathematical Statistics III
3.00 Credits
Creighton University
Optimal decision procedures, further normal distribution theory, noncentral chi-square and F distributions, introduction to the theoretical basis for analysis of variance, nonparametric methods. P: STA 562.
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STA 563 - Mathematical Statistics III
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STA 567: Linear Statistical Models
3.00 Credits
Creighton University
Least squares method; general linear hypothesis; multiple correlation and regression; analysis of covariance. P: STA 363 or 561; MTH 523 or 529.
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STA 567 - Linear Statistical Models
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STA 569: Analysis Of Variance And Design Of Experiments
3.00 Credits
Creighton University
One- and two-way classifications; blocking; nesting; multiple comparisons; incomplete designs; variance components; factorial experiments; confounding. P: STA 363 or 561.
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STA 569 - Analysis Of Variance And Design Of Experiments
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