Undergraduate Statistics (STAT) Course Listings

STAT 2330, SURVEY OF ELEMENTARY STATISTICS

Fall, Spring, Summer
Equivalent course: MATH 2330

This course is intended to provide the student with an elementary overview of the nature and uses of descriptive and inferential statistics. Recommended for majors or minors in biology, business, community services, law enforcement, nursing, political science, psychology, sociology, and others who need the ability to interpret data and make simple statistical inferences. Topics include descriptive statistics, measures of central tendency and dispersion, simple probability, tests of hypotheses and estimation for both large and small samples, comparisons, chi-square tests, regression and correlation.

Prerequisite: MATH 1334 with a grade of C or better, ACT math score of 20 or better, or THEA math score of 260 or better, or ACCUPLACER College Level Mathematics part score 70 or better.

Student Learning Outcomes: After completing this course students will

1. Have the basic ideas regarding what is the difference between a population and a sample, and will be able to identify which is a representative sample and which is not.
2. Be able to understand the difference between Statistics and Probability.
3. Be able to represent given data through tables or pictures.
4. Have the basic ideas of central tendencies and dispersions and be able to use calculators to calculate them.
5. Be able to get some heuristic ideas while looking at univariate and bivariate data and be able to draw conclusions on the required parameters.
6. Be able to calculate probabilities for binomial and normal probability distributions and use binomial and normal probability tables.
7. Be able to calculate confidence intervals and do testing of hypotheses using Normal table and t table for p-values and critical values.

 STAT 2335, INTRODUCTION TO BIOSTATISTICS

Fall, Spring, Summer
Equivalent course: MATH 2335. Honors equivalent: MATH 2388
Credit Restrictions: Credit may be received for only one of MATH 2335, STAT 2335, and MATH 2388.

Topics include introduction to biostatistics; biological and health studies and designs; probability and statistical inferences; one- and two-sample inferences for means and proportions; one-way ANOVA and nonparametric procedures.

Prerequisite: MATH 1334 with a grade of “C” or better or satisfactory score on ACT or placement exam.

Student Learning Outcomes: After completing this course students will be able to

1. understand statistical concepts and procedures such as probability distributions, hypothesis tests, nonparametric models, and analysis of variance.
2.  identify procedures appropriate (and inappropriate) to a given situation.
3.  carry out appropriate statistical procedures.
4.  interpret results from those statistical methods and communicate with other people.
5.  recognize the limitations of specific statistical methods.

STAT 3337, APPLIED STATISTICS I

As scheduled
Equivalent course: MATH 3337

This course concerns itself with probabilistic models, regression analysis, nonparametric statistics, and the basics of experimental design. Computer laboratory experience will be an important part of the course.

Prerequisite: Junior standing and either MATH 1340 or MATH 1341. It is highly recommended that the student have some knowledge of statistics such as offered in MATH 2330 or STAT 2330.

Student Learning Outcomes: After completing this course students will

1. Have the basic ideas regarding what is the difference between a population and a sample. be able to identify which is a representative sample and which is not.
2. Be able to understand the difference between Statistics and Probability.
3. Be able to represent given data through tables or pictures.
4. Have the basic ideas of central tendencies and dispersions and will be able to use calculators to calculate them.
5. Be able to get some heuristic ideas while looking at univariate and bivariate data and should be able to draw conclusions on the required parameters.
6. Be able to calculate probabilities, moments etc. for various probability distributions (discrete or continuous).
7. Be able draw inferences related to studies involving one, two or more than two population means.
8. Be able to draw inferences related to population variances.
9. Be able to construct ANOVA tables and should have some basic ideas in experimental design.
10. Have some basic ideas of correlation and linear regression.

STAT 4336, SAMPLING

As scheduled
This course surveys the basic elements of sampling including concepts of population and sample, the organization of a sample survey, coverage content error, questionnaire design, basic survey designs, and computation of estimates and variances.

Prerequisite: MATH 3337 or STAT 3337.