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Course Criteria
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4.00 Credits
Examines current trends and issues in multicategorical special education. Explores contemporary philosophies of educating students with disabilities, instructional alternatives, and service delivery programs. Serves as culminating project for the master of arts degree in Multicategorical Special Education. Prerequisites: SPED835 and EDUC810; completion of at least 30 credit-hours in the Multicategorical Special Education major.
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3.00 Credits
Covers the basic topics of applied statistics, including the sample mean and variance, random variables, elementary finite probability, the binomial and normal distributions; sampling, point and interval estimation, control charts, and hypothesis testing as they apply in business situations. Prerequisites: College algebra and MIS301 or equivalent.
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3.00 Credits
Includes analysis of variance, regression, correlation, time series, indexing, nonparametic statistics, bivariate distributions, and chi-square tests. Uses extensively statistical computer package in the analysis of data and application of statistical tests as they apply in business situations. Prerequisite: STAT 361.
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3.00 Credits
Provides an introduction to statistics and covers such topics as the standard normal distribution, descriptive statistics, chi-square, t-test, correlational techniques, and one-way analysis of variance. Focuses on analysis of data most often collected by individuals in psychology, education, special education, and other social sciences. Prerequisites: Intermediate or college algebra course with a "B" or better.
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1.00 Credits
Provides an introduction to statistical computing and covers such topics as the standard normal distribution, descriptive statistics, chi-square, t-test, correlational techniques, and one-way analysis of variance. Corequisite: STAT 468.
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3.00 Credits
A survey for graduate and undergraduate students with sufficient statistical background for professional programs in which basic familiarity with statistics is needed. The topics covered include descriptive statistics, probability, sampling, estimation, hypothesis testing, regression and correlation, analysis of variance, and chi-square. The course is fastpaced and intensive. Prerequisite: MAT H325.
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3.00 Credits
An introduction to accessing and analyzing quantitative data for students in the social and behavioral sciences.
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3.00 Credits
Concentrates on process control relying heavily upon control charts as tools to improve quality and productivity. Prerequisite: Algebra or written permission of instructor.
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4.00 Credits
For graduate students in Environmental Biology or Analytical Chemistry. Covers research designs from simple to factorial. Deals with relationships between statistics and experimental design. Includes practical experience in deriving unique experimental designs for specific research problems. To be taken before thesis/project work. Prerequisite: STAT 520.
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3.00 Credits
Reviews briefly regression analysis and one-way analysis of variance. Focuses on multiple regression and other analyses of variance. Prerequisite: STAT 468.
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