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Course Criteria
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3.00 Credits
This course covers nonparametric alternatives to standard statistical analyses and is suitable as a second course in statistics. Topics include nonparametric analogues to t- and F-test, ANOVA, regression and correlation, goodness of fit tests, test of independence, and measures of association. Computers and statistical software will be used extensively. Offered on demand.
Prerequisite:
Take STAT*201 CBAD*291 or PSYC*225(7824); Minimum grade C;
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3.00 Credits
(3 credits)(Prereq: STAT*201, CBAD*201, or PHYS*225 with a grade of C or better) This course covers a variety of statistical concepts and methods. Topics include interference for means and proportions using both parametric and non-parametric approaches, a detailed study of simple linear regression, and analysis of variance (ANOVA). Examples are drawn from various fields of study and statistical software is utilized for analyses. S
Prerequisite:
Take STAT*201 CBAD*291 PSYC*225(7824) or PSYC*225(PSYC_225); Minimum grade C;
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3.00 Credits
(Prereq: STAT 316 with a grade of C or better) This course offers advanced topics in experimental design. These topics include but are not limited to, split plot designs, repeated measures, nested designs, advanced topics in block designs, and advanced topics in factorial designs. Computers and statistical software will be used extensivly. S.
Prerequisite:
Take STAT*316(6193); Minimum grade C;
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3.00 Credits
(3)(Prereq: A grade of "C" or better in STAT 201) This course covers topics that are tested on the SAS Certified Base Programmer exam. Topics include, but are not limited to, importing and exporting raw data files, manipulating and transforming of data sets, combining SAS data sets and creating summary reports using SAS procedures. Computers and statistical software are used extensively. S.
Prerequisite:
Take STAT*201; Minimum grade C;
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3.00 Credits
(3 credits)(Prereq: a grade of C or better in STAT*201) This course highlights important areas of survey design and analysis. Design of the survey instrument and its distribution are covered. The impacts of nonresponse and other types of bias are discussed. Tools are given for summarizing and conducting inference on some of the most common designs including stratified and cluster sampling. Extensive use of software. S, odd years
Prerequisite:
Take STAT*201; Minimum grade C;
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2.00 Credits
(2 credits)(Prereq: STAT*316 with a grade of C or better and STAT*318 with a grade of C or better and at least two other 300-level statistics classes with a C or better) Students syntesize information across many statistical methods through case studies. For each case study, students must determine the most appropriate approach to answer the researcher's questions using statistics. Students present their analysis and conclusions in a series of written and oral presentations. S
Prerequisite:
GROUP: Take STAT*316(6193) STAT*318(4806); Minimum grade C; GROUP: Take 2 courses; Minimum grade C; From Subject STAT; From Levels 3RDYEAR 4THYEAR; Except courses STAT*316(6193) STAT*318(4806);
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3.00 Credits
(3 credits)(Prereq: A grade of 'C' or better in MATH*161 or MATH*161B) Sample spaces, probability, randon variables, distributions.
Prerequisite:
Take MATH*161 or MATH*161B; Minimum grade C;
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3.00 Credits
(3 credits)(Writing Intensive)(Prereq: A grade of 'C' or better in STAT 412, or STAT 201 and a grade of 'C' or better in MATH 161 or MATH 161B) This course introduces key topics in statistical programming including techniques for random number generation, Monte-Carlo and MCMC methods, and bootstrapping. S, even years.
Prerequisite:
Take 1 group; GROUP: Take STAT*412; Minimum grade C; GROUP: Take STAT*201 MATH*161; Minimum grade C; GROUP: Take STAT*201 MATH*161B; Minimum grade C;
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3.00 Credits
(3 credits) An introduction to the basic concepts and understanding of sustainability locally and globally. Topics focus around the three pillars of sustainability; environment, economic and social, as well as topics such as waste reduction, consumer choices, energy, transportation, and natural resources. The field of sustainability continues to evolve, especially as awareness spreads about scarce resources on a crowded planet. Students explore sustainability through experiential learning activities and create a research-based presentation. F,S,Su
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3.00 Credits
(3 credits) This course brings together the interdisciplinary approaches of sustainability to investigate the local ecosystems near CCU. Students apply the principles of sustainability to issues such as biodiversity, anthropogenic impacts, and ecological resilience. Students learn through a combination of lecture, discussion, case studies and field experiences. F,S,Su
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