Sampling theory, organization and presentation of data, measures of central tendency, variance, standard deviation, exploratory data analysis, correlation and regression, normal distributions, student's t-distributions, statistical inference, hypothesis testing, confidence intervals, use of a statistical software package, bootstrapping, and randomization techniques. This course requires MAT 093 Integrated Arithmetic and Basic Algebra, or equivalent background knowledge.

Prerequisite- Corequisite
None

Credits: 3
Hours: 3 Class Hours

Course Profile
Learning Outcomes of the Course:
Upon successful completion of this course the student will be able to:

1. Interpret and draw inferences from appropriate models such as formulas, graphs, tables, or schematics.
2. Represent mathematical information symbolically, visually, numerically, or verbally as appropriate.
3. Employ quantitative methods such as arithmetic, algebra, geometry, or statistics to solve problems.