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STAT 200 ~ Introduction to Statistics ~ 4.0 credits
Includes organization and classification of data, graphic
representation, measures of central tendency and variability, percentiles,
normal curves, standard scores, correlation and regression, introduction to
statistical inference, and the use of computers for statistical calculations.
Prerequisite(s): - none -
STAT 201 ~ Elementary Statistics: Descriptive Statistics ~ 1.0 credits
This is the first course in the modular series for elementary statistics (STAT
201, 202, 203). This beginning course introduces the elementary statistical
procedures use in by researchers in the behavioral, health, and social science
professions and other related disciplines. This course emphasizes the use of
tables, graphs and elementary descriptive statistical applications. The course
also introduces the student to the basic skills for using computers in
statistical analyses.
Prerequisite: Intermediate college algebra and satisfaction of the ELM requirement.
STAT 202 ~ Elementary Statistics: Probability Distributions and Inference ~ 2.0 credits
This is the second course in the modular series for elementary statistics. The
course is designed to extend the studentís depth of knowledge in elementary
descriptive statistical analyses and introduce the student to concepts of
variance, probability theory and probability distributions, and hypothesis
testing and statistical inference. Presentations explaining the theory and
concepts of elementary statistical inference procedures are accompanied by
intensive instruction in the applications of computer statistical software.
Prerequisites: Completion of the ELM test requirement; Intermediate Algebra;
Stat 201 or an elementary statistics preparatory course
STAT 203 ~ Elementary Statistics: Statistical Inference and Hypothesis Testing ~ 1.0 credits
This is the third course in the modular series for elementary statistics. The
course is designed to extend the studentís breadth and depth in parametric and
nonparametric hypothesis testing methods. The course will emphasize hypothesis
testing theory and strategy for one- and two-sample designs as well as
introductory presentations in analysis of variance. Presentation of commonly
used experimental models is accompanied by intensive instruction in the
applications of advanced computer statistical software.
Prerequisites: Completion of Stat 201 and 202 or an elementary statistics course
STAT 250 ~ Applied Stat:Sci Tech ~ 4.0 credits
Provides the models and methods used in a career in technology,
engineering, and natural and biological sciences. Emphasizes the use of tables,
graphs, and elementary descriptive statistical applications. Introduces
statistical inferences through parameter estimation and regression modeling.
Introduces students to the basic skills for using computers in statistical
analyses.
Prerequisite(s): MATH 150 or equivalent with C or better
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