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Course Documents

Chapter 1 - Intro

Chapter 2 - Methods for Describing Sets of Data

Chapter 3 - Probability

Chapter 4 - Discrete Random Variables

Chapter 5 - Normal Random Variables

Chapter 6 - Sampling Distributions

Chapter 7 - Confidence Intervals

Chapter 8 - Tests of Hypothesis: One Sample

Chapter 9 - Confidence Intervals and Hypothesis Tests: Two Samples

Sample Exam I: Chapters 1 & 2

Sample Exam II: Chapters 3 & 4

Sample Exam III: Chapters 5 & 6

Sample Exam IV: Chapters 7 & 8

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Advanced Probability

ANOVA

Basic Probability

Binomial Probability

Central Limit Theorem

Chebyshev's Rule

Comparing Two Proportions

Complete Factorial Design

Conf. Interval: Two Indep. Means

Confidence Interval for Proportion

Confidence Intervals for Mean

Correlation

Counting and Combinations

Course Details

Critical Values

Discrete Probability Distributions

Empirical Rule

Expected Value

F-test to Compare Variances

Frequency Distributions/Tables

Hypothesis Test about a Mean

Hypothesis Test about a Proportion

Least Squares Regression

Matched Pairs

Measures of the Center

Multiplication Rule of Probability

Normal Approx to Binomial Prob

Normal Probability Distribution

P-value

Percentiles of the Normal Curve

Point Estimators

Prediction Error

Probability of At Least One

Range Rule of Thumb

Rank Correlation

Sample Size

Sign Test

Standard Deviation

Summation Notation

Testing Claims about Variance

Two-Sample t-test w Equal Var

Two-Sample t-test w Unequal Var

Unbiased Estimators

Wilcoxon Rank Sum