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Landing Page

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    Welcome to Introduction to Business Statistics Welcome to Introduction to Business Statistics
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    Welcome to Introduction to Business Statistics (Alternative Front Page) Welcome to Introduction to Business Statistics (Alternative Front Page)
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Chapter 3

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    Chapter 3 Readings

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    Introduction Introduction
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    3.1 Terminology 3.1 Terminology
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    3.2 Independent and Mutually Exclusive Events 3.2 Independent and Mutually Exclusive Events
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    3.3 Two Basic Rules of Probability 3.3 Two Basic Rules of Probability
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    3.4 Contingency Tables and Probability Trees 3.4 Contingency Tables and Probability Trees
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    3.5 Venn Diagrams 3.5 Venn Diagrams
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Chapter 4

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    Chapter 4 Readings

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    Introduction Introduction
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    4.1 Hypergeometric Distribution 4.1 Hypergeometric Distribution
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    4.2 Binomial Distribution 4.2 Binomial Distribution
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    4.3 Geometric Distribution 4.3 Geometric Distribution
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    4.4 Poisson Distribution 4.4 Poisson Distribution
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Chapter 5

Chapter 5
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    Chapter 5 Readings

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    Introduction Introduction
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    5.1 Properties of Continuous Probability Density Functions 5.1 Properties of Continuous Probability Density Functions
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    5.2 The Uniform Distribution 5.2 The Uniform Distribution
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    5.3 The Exponential Distribution 5.3 The Exponential Distribution
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Chapter 6

Chapter 6
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    Chapter 6 Readings

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    Introduction Introduction
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    6.1 The Standard Normal Distribution 6.1 The Standard Normal Distribution
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    6.2 Using the Normal Distribution 6.2 Using the Normal Distribution
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    6.3 Estimating the Binomial with the Normal Distribution 6.3 Estimating the Binomial with the Normal Distribution
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Chapter 7

Chapter 7
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    Chapter 7 Readings

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    Introduction Introduction
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    7.1 The Central Limit Theorem for Sample Means 7.1 The Central Limit Theorem for Sample Means
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    7.2 Using the Central Limit Theorem 7.2 Using the Central Limit Theorem
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    7.3 The Central Limit Theorem for Proportions 7.3 The Central Limit Theorem for Proportions
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    7.4 Finite Population Correction Factor 7.4 Finite Population Correction Factor
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Chapter 8

Chapter 8
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    Chapter 8 Readings

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    Introduction Introduction
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    8.1 A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size 8.1 A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size
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    8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case 8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case
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    8.3 A Confidence Interval for A Population Proportion 8.3 A Confidence Interval for A Population Proportion
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    8.4 Calculating the Sample Size n: Continuous and Binary Random Variables 8.4 Calculating the Sample Size n: Continuous and Binary Random Variables
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Chapter 9

Chapter 9
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    Chapter 9 Readings

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    Introduction Introduction
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    9.1 Null and Alternative Hypotheses 9.1 Null and Alternative Hypotheses
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    9.2 Outcomes and the Type I and Type II Errors 9.2 Outcomes and the Type I and Type II Errors
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    9.3 Distribution Needed for Hypothesis Testing 9.3 Distribution Needed for Hypothesis Testing
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    9.4 Full Hypothesis Test Examples 9.4 Full Hypothesis Test Examples
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Chapter 10

Chapter 10
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    Chapter 10 Readings

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    Introduction Introduction
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    10.1 Comparing Two Independent Population Means 10.1 Comparing Two Independent Population Means
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    10.2 Cohen's Standards for Small, Medium, and Large Effect Sizes 10.2 Cohen's Standards for Small, Medium, and Large Effect Sizes
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    10.3 Test for Differences in Means: Assuming Equal Population Variances 10.3 Test for Differences in Means: Assuming Equal Population Variances
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    10.4 Comparing Two Independent Population Proportions 10.4 Comparing Two Independent Population Proportions
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    10.5 Two Population Means with Known Standard Deviations 10.5 Two Population Means with Known Standard Deviations
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    10.6 Matched or Paired Samples 10.6 Matched or Paired Samples
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Chapter 11

Chapter 11
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    Chapter 11 Readings

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    Introduction Introduction
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    11.1 Facts About the Chi-Square Distribution 11.1 Facts About the Chi-Square Distribution
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    11.2 Test of a Single Variance 11.2 Test of a Single Variance
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    11.3 Goodness-of-Fit Test 11.3 Goodness-of-Fit Test
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    11.4 Test of Independence 11.4 Test of Independence
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    11.5 Test for Homogeneity 11.5 Test for Homogeneity
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    11.6 Comparison of the Chi-Square Tests 11.6 Comparison of the Chi-Square Tests
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Chapter 12

Chapter 12
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    Chapter 12 Readings

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  • External Url
    Introduction Introduction
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    12.1 Test of Two Variances 12.1 Test of Two Variances
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    12.2 One-Way ANOVA 12.2 One-Way ANOVA
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    12.3 The F Distribution and the F-Ratio 12.3 The F Distribution and the F-Ratio
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    12.4 Facts About the F Distribution 12.4 Facts About the F Distribution
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Chapter 13

Chapter 13
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    Chapter 13 Readings

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  • External Url
    Introduction Introduction
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    13.1 The Correlation Coefficient r 13.1 The Correlation Coefficient r
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    13.2 Testing the Significance of the Correlation Coefficient 13.2 Testing the Significance of the Correlation Coefficient
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    13.3 Linear Equations 13.3 Linear Equations
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    13.4 The Regression Equation 13.4 The Regression Equation
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    13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation
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    13.6 Predicting with a Regression Equation 13.6 Predicting with a Regression Equation
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    13.7 How to Use Microsoft Excel® for Regression Analysis 13.7 How to Use Microsoft Excel® for Regression Analysis
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Statistical Tables

Statistical Tables
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    Statistical Tables Statistical Tables
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Mathematical Phrases, Symbols, and Formulas

Mathematical Phrases, Symbols, and Formulas
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    Mathematical Phrases, Symbols, and Formulas Mathematical Phrases, Symbols, and Formulas
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