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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