# Mathematics

### MATH 1316 PLANE TRIGONOMETRY

15 lessons, 1 final exam
Credit 3
Prerequisites: Two years of high school algebra and one year of high school geometry.
Topics include coordinate systems, circular functions, solutions of triangles, identities, trigonometric equations, and inverse functions.

### MATH 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 with 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 in research in their academic fields and as an introductory course for those who are. Also offered as STA 169.

### MATH 1314 PRE CALCULUS ALGEBRA

15 lessons, 1 final exam
Credit 3
Prerequisites: Two years of high school algebra and one year of high school geometry.
Topics include a brief review of introductory algebra, variation, elementary theory of equations, functions (including exponential and logarithmic), inequalities, systems of equations, and other related topics.

### MATH 3379 STATISTICAL METHODS IN PRACTICE

10 lessons, 1 final exam
Credit 3
Prerequisites: Three semester hours of mathematics and consent of instructor.
This course includes the fundamentals of statistical concepts and will guide the student through basic statistical procedures to permit crictical 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 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 in research in their academic fields and as an introductory course for those who are. Also offered as STAT 3379.