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Correspondence Courses Offered

Statistics

STA/MTH 169 [STAT 1369] ELEMENTARY STATISTICS

10 lessons, 1 final exam
Credit 3
Prerequisites: Two years of high school algebra.
This is a survey course in elementary statistics designed to acquaint students with the role of statistics in society. Coverage includes graphical descriptive methods, measures of central tendency and variation, the basic concepts of statistical inference, the notion of estimators, confidence intervals, hypothesis testing, linear regression, and correlation. A knowledge of probability and statistics will allow a quantitive assessment of the risk involved with each inference and allows for more intelligent actions. This course is designed as both a terminal course for those not likely to be intimately involved in research in their academic fields and as an introductory course for those who are.

STA/MTH 379 [STAT 3379] STATISTICAL MEASURES IN PRACTICE

10 lessons, 1 final exam
Credit 3
Prerequisites: Three semester hours of mathematics.
This course introduces the fundamentals of statistical concepts and will guide the student through the basic statistical procedures to permit critical insight into the science of collecting, classifying, presenting, and interpreting information from the data. The three primary topics covered are: 1) descriptive statistics (geographic presentation of data, histograms, plots, charts, measures of central tendency, dispersion, position, bivariate data analysis, linear correlation, and regression analysis); 2) probability concepts and rules for calculating probabilities of compound events. The probability coverage also includes the more commonly occurring probability distributions such as the binomial and normal distributions; and 3) inferential statistics including inferences involving one and two populations. A knowledge of probability and statistics will allow a quantitive assessment of the risk involved with each inference and allows for more intelligent actions. This course is designed as both a terminal course for those not likely to be intimately involved in research in their academic fields and as an introductory course for those who are. Also offered as MTH 379.


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