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Course Criteria
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1.00 - 3.00 Credits
Readings, Lecture, discussions, or lab (or any combination) in specific statistics topics. Permission of the instructor required. Offered on sufficient demand. Prerequisites depend upon the topic selected.
Prerequisite:
Prerequisites depend upon the topic selected.
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1.00 - 6.00 Credits
Of varying focus, the course makes use of the history, culture, and society of a host country to highlight disciplinary perspectives in context. To be taught in that country (or countries) as part of an approved study abroad program. By permit only. Credit may vary.
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3.00 Credits
An activity and project-oriented overview of factors involved in the development of self-administered questionnaires. Topics include ethics and regulations related to research involving human subjects, item construction, response options/scaling, scale scoring, layout considerations, survey administration, reliability and validity, and subscale determination. Offered winter semester. Prerequisite: STA 215 or STA 312.
Prerequisite:
Prerequisite: STA 215 or STA 312.
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3.00 Credits
An introduction to the statistical methods commonly encountered in medical, biological, and health science problems using a statistical package such as SAS or SPSS. Longitudinal data analysis, repeated measures ANOVA, Friedman test, categorical data analysis, odds ratios, sensitivity and specificity, McNemar's test, logistic regression, survival analysis, and reliability. Offered winter semesters on sufficient demand. Prerequisites: STA 216.
Prerequisite:
Prerequisites: STA 216.
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3.00 Credits
A project-oriented overview of topics related to survey sampling. Topics include sampling and nonsampling errors, questionnaire design, nonprobability and probability sampling, commonly used sampling methods (e.g., simple random, stratified, systematic, cluster), estimating population sizes, and random response models. SAS or a sampling package software will be used. Offered winter semester. Prerequisite: STA 216.
Prerequisite:
Prerequisite: STA 216.
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3.00 Credits
Introduction to the basic concepts of probability and statistics using calculus; discrete and continuous probability distributions, sampling, estimation, confidence intervals, tests of hypotheses, regression and correlation, applications, and problem solving. Offered fall and winter semesters. Prerequisites: MTH 201.
Prerequisite:
Prerequisites: MTH 201.
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3.00 Credits
Statistical techniques applicable to problems of product quality. Methods and philosophy of statistical process control such as reduction of random variability, control charts, and process capability studies. Modern methods for quality control and improvement, including online and offline procedures. Various management philosophies of quality improvement. Applications and projects. Offered on sufficient demand. Prerequisite: STA 215.
Prerequisite:
Prerequisite: STA 215.
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3.00 Credits
Application-oriented overview of designed experiments. Students will learn about planning and conducting experiments and about analyzing the resulting data using a major statistical package. Simple comparative experiments concerning means and variances, experiments with single or multiple factors, factorial designs, and response surface methodology. Offered fall semesters. Prerequisite: STA 216 or STA 314.
Prerequisite:
Prerequisite: STA 216 or STA 314.
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3.00 Credits
Applied statistical analysis when the distributions of the populations are unknown. Students will learn how to test for location, test for distributions, compare populations, and calculate measures of association. A statistical software package will be used. Offered winter semesters on sufficient demand. Prerequisites: STA 216.
Prerequisite:
Prerequisites: STA 216.
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3.00 Credits
A detailed study of the advanced features of major statistical packages used in statistical computing, such as SAS and SPSS. Emphasis on the data entry, data manipulation, data storage, data simulation, and graphical display features of these packages. Offered on sufficient demand. Prerequisites: STA 215.
Prerequisite:
Prerequisites: STA 215.
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