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Institution:
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Alabama A & M University
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Subject:
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Description:
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1 hr. A course designed for investigative study in an area of contemporary mathematics under the supervision of a senior mathematics instructor. Prerequisite: MTH 237 or consent of instructor ( Offered Spring) ST 324 ( MTH 324) Applied Statistical Computing - 3 hrs. An introduction to computer-assisted data analysis with emphasis on the interpretation of results generated by such software packages as SAS, SPSS, STATPAK and others. Topics include descriptive statistics; contingency tables, correlation; two-group comparisons; simple, polynomial and multiple linear regression; and analysis of variance. Prerequisite: MTH 112 or consent of instructor. (Offered Fall) ST 327 ( MTH 327) Applied Regression Analysis - 3 hrs. A study of least squares; simple, polynomial and multiple linear regression including residual and lack-of-fit analysis; simple multiple, partial, and multiple-partial correlation; analysis of covariance; model building algorithms, analysis of variance, and computer-assisted data analysis. Prerequisite: ST 324. ( Offered Fall or Spring) ST 344 ( MTH 344) Design and Analysis of Experiments I - 3 hrs. A study of the fundamental concepts and basic principles of design, construction and analysis of experimental designs. Designs to be included are completely randomized complete block, Latin square, Greco-Latin square, split-plot, multiple comparison, and factorial. Prerequisite: ST 327. ( Offered Fall or Spring) ST 444 ( MTH 444) Design and Analysis of Experiments II - 3 hrs. A continuation of ST 344. Topics include incomplete block designs, analysis of covariance; regression approach to the analysis of selected design such as two-way unequal cells, factorial confounding techniques, fractional replication, response surface methodology, evolutionary operations, cross-over and repeated measure designs; and selected transformations and heterogeneity of variance techniques. Prerequisite: ST 344. ( Offered Fall or Spring) ST 473 ( MTH 473 Statistics - 3 hrs. An introduction to the theory of statistics. Topics include sampling distributions, estimation, hypothesis testing, linear models, analysis of variance, nonparametric and distribution-free procedures. Prerequisite: ST 453. ( Offered Fall or Spring)
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Credits:
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1.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(256) 372-5000
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Regional Accreditation:
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Southern Association of Colleges and Schools
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Calendar System:
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Semester
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