Statistics is a course designed to provide students with the fundamental principles of
probability and statistics with applications. Topics covered include probability models,
combinations, discrete and continuous probability, estimating and testing, and confidence
intervals. Students who plan to pursue a non-technical or liberal arts course of study will find
this course useful.
Topics include, but are not limited to:

Intro to Stat, Data Classification

Experimental Design, Frequency Distributions,

Graphs, Measures of Central Tendency

Measures of Variation, Measures of Position

Probability, Conditional Probability,
Multiplication Rule


Addition Rule, Counting Principles,
Probability Distributions,
Binomial Distributions

Discrete Probability Distributions

Introduction to Normal Distributions

Normal Distributions, Finding Values, Sample
Distributions,
Central Limit Theorem, Normal Approximations

Confidence Intervals for the Mean

Confidence Intervals for Proportions,
Variance and Standard Deviation
Hypothesis Testing for the Mean, for
Proportions, and for Variance and Standard
Deviation
Hypothesis Testing for Proportions, Variance,
and Standard Deviation, Testing the Difference
Between Means
Testing the Difference Between Proportions,
Correlation




Linear Regression, Measures of Regression
and Prediction Intervals

The Chi-Square Test and Contingency Tables

The F-Distribution and The Two-Sample F-Test
Variances