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Stat Class PresentationEvery field of human endeavor collects information- to verify processes, assess quality, and to research new ideas. Statistics is the tool that allows all such analyses to be performed.

Traditionally, statistical methods are only taught in upper division, due to the complicated mathematics required to prove the methods work. None of this math is needed to actually perform a statistical analysis. At Casper College, we believe students can and should acquire advanced skills in statistical research methods as early as possible.

Casper College now offers both an AS degree and a Certificate in Applied Statistics. For all students whose disciplines or work regularly involve research and/or data analysis--Behavioral, Biological, Business, and Social Science majors-- the skills you gain in these courses will make you more valuable in the marketplace, and definitely raise your chances for graduate school admission. The program is structured to be exactly equivalent to the Minor in Statistics at the University. The big advantage at Casper College is directed hands-on instruction with statistical software in classes with a maximum size of sixteen, and immediate access to the instructors for assistance, if needed.

Contact Information:

Renee Hardy
Academic Assistant
(307) 268-2513
PS 132
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Brook Russell
Department Head
(307) 268-3057
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  • Brook Russell
    • Phone: (307) 268-3057
    • Office: PS 116
    • Weblink
  • Ashley Widman
    • Phone: TBA
    • Office: PS 329
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STAT 2050 Fundamentals of Statistics (5L,5CR)[E][QB]:
Primarily for the students of the life sciences, behavioral sciences, and physical sciences. Includes frequency distributions and graphics, central tendency, dispersion, useful probability models, and basic statistical inference including linear regression and correlation. Prerequisite: a C or better in MATH 1000 or MATH 1400, or an ACT Math score of 23 or better, or an appropriate COMPASS Exam score within the past year.

STAT 2070 Introductory Statistics for Social Science (5L,5CR)[E][QB]:
Primarily for the students of the social sciences. Includes frequency distributions and graphics, central tendency, dispersion, useful probability models, and basic statistical inference including linear regression and correlation, with emphasis on applications in the social sciences. Prerequisite: a C or better in MATH 1000 or MATH 1400, or an ACT Math score of 23 or better, or an appropriate COMPASS Exam score within the past year.

STAT 2120 Fundamentals of Sampling (5L,5CR):
This course develops methodology of simple random sampling, stratified sampling, and multistage sampling; provides applications related to physical, social, and biological sciences; discusses single and two-variable estimation techniques, and presents estimation based on subsamples from subpopulations. Prerequisite: a C or better in STAT 2050 or STAT 2070.

STAT 2121 Sampling Supplement (2L,2CR):
This course is a required co-enrollment class to be taken with STAT 4155 (Sampling) offered at Casper College by the University of Wyoming. When combined with STAT 4155, content is identical to STAT 2120.

STAT 2150 Statistical Methods of Data Analysis (5L,5CR)[E][M3]:
A continuation of statistical inference methods begun in STAT 2050. Multi-sample and multi-variate methods — step-wise Regression, ANOVA, ANCOVA, MANOVA, and Non-Parametric Testing. Emphasis is on interpretation of analyses provided by the statistical computer package SPSS. Prerequisite: STAT 2050 or STAT 2070.

STAT 2220 Experimental Design (5L,5CR):
This course reviews design and analysis of one-factor experiments and introduces multi-factor experiments, Latin squares, nested designs and random effects. It also introduces topics such as polynomial response curves, trend analysis, split plots, and incomplete blocks as time permits.  Prerequisite: a grade of C or better in STAT 2150.

STAT 2221 Design and Analysis of Experiments Supplement (2L,2CR):
This course is a required co-enrollment class to be taken with STAT 4025 (Design and Analysis of Experiments) offered at Casper College by the University of Wyoming. When combined with STAT 4025, content is identical to STAT 2220.

STAT 2240 Categorical Data Analysis (5L,5CR):
This course covers applied methods for analyzing associations when some or all variables are measured in discrete categories, not continuous scales. Topics include the binomial, multinomial, and Poisson probability models, parameter estimation and hypothesis-testing and proportions, measures of association and tests for contingency tables, logistic regression, and log-linear models. Prerequisite: a grade of C or better in STAT 2150.

STAT 2241 Categorical Data Analysis Supplement (2L,2CR):
This course is a required co-enrollment class to be taken with STAT 4045 (Categorical Data Analysis) offered at Casper College by the University of Wyoming. When combined with STAT 4045, content is identical to STAT 2240.

STAT 2485 Statistics Laboratory (1L,2LB, 2CR):
This course provides a real-life introduction to the elements of client consultation. The student will learn to translate the client's needs into statistical methodology under the supervision of the faculty. Client questions will include elements of design, sampling methods, analysis procedures, and interpretation of analysis, which the student will now learn to apply. Complicated issues will be discussed and resolved in a seminar format. Prerequisite: a grade of C or better in STAT 2220.

Location

Wold Physical Science Building, Room 323

Hours of Operation:

Monday through Friday - 8:00am - 11:00am
Tutoring: Monday, Wednesday & Friday - 1-3pm

Contact Info:

statisticslab@caspercollege.edu
268-3092

Check out this great article published August 6, 2009 in the New York Times! Click here to view this article.

| School of Science Home Page | Office Hours |
| Statistics Departmental Report |

The School of Science houses more than a dozen strong programs in the physical and life sciences. The faculty in the School of Science include accomplished paleontologists, physicists, engineers, mathematicians and seasoned professionals from agricultural, nutrition and other industries. Students have access to modern and well-equipped laboratories in the Loftin Life Science Center and the Wold Physical Science Center.

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