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Course Criteria
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3.00 Credits
Provides an introduction to descriptive and inferential statistics. Topics covered include numerical and graphical summary procedures, basic probability concepts, random variables and distributions, the Central Limit Theorem, confidence intervals, and hypothesis testing.
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5.00 Credits
Provides an introduction to descriptive and inferential statistics. Topics covered include numerical and graphical summary procedures, basic probability concepts, random variables and distributions, the Central Limit Theorem, confidence intervals, and hypothesis testing. The course contains two credits of extra support for students who did not place into Introduction to Statistics (STA 141). Completion of this course will allow the student to take any class with Introduction to Statistics (STA 141) as a prerequisite.
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3.00 Credits
Presents common statistical techniques with an emphasis on applications. Topics include confidence intervals, hypothesis testing, regression analysis and analysis of variance. The use of statistical software is encouraged.
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3.00 Credits
An introduction to the basic concepts of probability including sample spaces, events, independence, conditional probability, random variables, special probability distributions, point estimation, confidence intervals, and elementary statistical inference.
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3.00 Credits
Provides an introduction to the most widely used statistical software packages in government and industry. Students will gain practical experience by solving real-world statistical problems encountered by various government agencies and private companies. Graphical and numerical descriptive procedures, and inferential statistical techniques will be discussed.
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3.00 Credits
Provides an introduction to the basic principles and techniques of experimental design and analysis of experiments. Topics covered include completely randomized designs, complete and incomplete block designs, factorial and fractional factorial designs, confounding and split-plot design.
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3.00 Credits
Provides a conceptual method of investigating relationships among variables. Presents methods of regression analysis through examples encountered in the real world. Regression models including simple and multiple linear regression, nonlinear regression, diagnostics, collinearity, variable selection, and logistic regression will be covered.-a-a-a
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3.00 Credits
Presents the concepts and methods of advanced statistical techniques that arise in health and life sciences with emphasis on problems that are likely to be encountered by graduate researchers in biological sciences. Topics include methodologies for design and analysis of multivariate data. The use of appropriate statistical software to analyze data sets is stressed.
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3.00 Credits
Presents the concepts and methods of advanced statistical techniques that arise in health and life sciences with emphasis on problems that are likely to be encountered by graduate researchers in biological sciences. Topics include methodologies for design and analysis of multivariate data. The use of appropriate statistical software to analyze data sets is stressed.
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3.00 Credits
Focuses on ethical practice content that encompasses values, knowledge, and skills to work with FAMILIES, including engaging clients in an appropriate working relationship; identifying needs, resources, and assets; collecting and assessing information; evaluating program outcomes and practice effectiveness; and planning for service delivery. Includes content on identifying, analyzing, and implementing empirically based interventions designed to achieve client goals, through the use of communication skills, supervision, and consultation. Emphasizes strengths, capacities and resources of client systems, especially those populations at risk, in relation to their broader environments. Promotes strategies for effective practice with persons from diverse backgrounds and considers technological advances.
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