Course Modules: MasterShell DS 23 Green SandBox Original

Landing Page

Landing Page Landing Page

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Welcome to Introduction to Business Statistics Welcome to Introduction to Business Statistics 2

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

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Chapter 3

Chapter 3 Chapter 3

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Chapter 3 Readings 1

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External Url

Introduction Introduction 2

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3.1 Terminology 3.1 Terminology 3

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3.2 Independent and Mutually Exclusive Events 3.2 Independent and Mutually Exclusive Events 4

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3.3 Two Basic Rules of Probability 3.3 Two Basic Rules of Probability 5

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3.4 Contingency Tables and Probability Trees 3.4 Contingency Tables and Probability Trees 6

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3.5 Venn Diagrams 3.5 Venn Diagrams 7

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Chapter 4

Chapter 4 Chapter 4

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Chapter 4 Readings 1

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Introduction Introduction 2

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4.1 Hypergeometric Distribution 4.1 Hypergeometric Distribution 3

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4.2 Binomial Distribution 4.2 Binomial Distribution 4

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4.3 Geometric Distribution 4.3 Geometric Distribution 5

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4.4 Poisson Distribution 4.4 Poisson Distribution 6

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Chapter 5

Chapter 5 Chapter 5

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Chapter 5 Readings 1

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Introduction Introduction 2

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5.1 Properties of Continuous Probability Density Functions 5.1 Properties of Continuous Probability Density Functions 3

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5.2 The Uniform Distribution 5.2 The Uniform Distribution 4

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5.3 The Exponential Distribution 5.3 The Exponential Distribution 5

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Chapter 6

Chapter 6 Chapter 6

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Chapter 6 Readings 1

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Introduction Introduction 2

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6.1 The Standard Normal Distribution 6.1 The Standard Normal Distribution 3

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6.2 Using the Normal Distribution 6.2 Using the Normal Distribution 4

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6.3 Estimating the Binomial with the Normal Distribution 6.3 Estimating the Binomial with the Normal Distribution 5

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Chapter 7

Chapter 7 Chapter 7

Context Module Sub Header

Chapter 7 Readings 1

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Introduction Introduction 2

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7.1 The Central Limit Theorem for Sample Means 7.1 The Central Limit Theorem for Sample Means 3

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7.2 Using the Central Limit Theorem 7.2 Using the Central Limit Theorem 4

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7.3 The Central Limit Theorem for Proportions 7.3 The Central Limit Theorem for Proportions 5

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7.4 Finite Population Correction Factor 7.4 Finite Population Correction Factor 6

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Chapter 8

Chapter 8 Chapter 8

Context Module Sub Header

Chapter 8 Readings 1

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Introduction Introduction 2

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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 3

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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 4

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8.3 A Confidence Interval for A Population Proportion 8.3 A Confidence Interval for A Population Proportion 5

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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 6

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Chapter 9

Chapter 9 Chapter 9

Context Module Sub Header

Chapter 9 Readings 1

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Introduction Introduction 2

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9.1 Null and Alternative Hypotheses 9.1 Null and Alternative Hypotheses 3

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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 4

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9.3 Distribution Needed for Hypothesis Testing 9.3 Distribution Needed for Hypothesis Testing 5

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9.4 Full Hypothesis Test Examples 9.4 Full Hypothesis Test Examples 6

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Chapter 10

Chapter 10 Chapter 10

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Chapter 10 Readings 1

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Introduction Introduction 2

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10.1 Comparing Two Independent Population Means 10.1 Comparing Two Independent Population Means 3

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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 4

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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 5

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10.4 Comparing Two Independent Population Proportions 10.4 Comparing Two Independent Population Proportions 6

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10.5 Two Population Means with Known Standard Deviations 10.5 Two Population Means with Known Standard Deviations 7

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10.6 Matched or Paired Samples 10.6 Matched or Paired Samples 8

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Chapter 11

Chapter 11 Chapter 11

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Chapter 11 Readings 1

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Introduction Introduction 2

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11.1 Facts About the Chi-Square Distribution 11.1 Facts About the Chi-Square Distribution 3

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11.2 Test of a Single Variance 11.2 Test of a Single Variance 4

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11.3 Goodness-of-Fit Test 11.3 Goodness-of-Fit Test 5

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11.4 Test of Independence 11.4 Test of Independence 6

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11.5 Test for Homogeneity 11.5 Test for Homogeneity 7

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11.6 Comparison of the Chi-Square Tests 11.6 Comparison of the Chi-Square Tests 8

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Chapter 12

Chapter 12 Chapter 12

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Chapter 12 Readings 1

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Introduction Introduction 2

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12.1 Test of Two Variances 12.1 Test of Two Variances 3

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12.2 One-Way ANOVA 12.2 One-Way ANOVA 4

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12.3 The F Distribution and the F-Ratio 12.3 The F Distribution and the F-Ratio 5

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12.4 Facts About the F Distribution 12.4 Facts About the F Distribution 6

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Chapter 13

Chapter 13 Chapter 13

Context Module Sub Header

Chapter 13 Readings 1

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Introduction Introduction 2

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13.1 The Correlation Coefficient r 13.1 The Correlation Coefficient r 3

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13.2 Testing the Significance of the Correlation Coefficient 13.2 Testing the Significance of the Correlation Coefficient 4

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13.3 Linear Equations 13.3 Linear Equations 5

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13.4 The Regression Equation 13.4 The Regression Equation 6

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13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation 7

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13.6 Predicting with a Regression Equation 13.6 Predicting with a Regression Equation 8

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13.7 How to Use Microsoft Excel® for Regression Analysis 13.7 How to Use Microsoft Excel® for Regression Analysis 9

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Statistical Tables

Statistical Tables Statistical Tables

External Url

Statistical Tables Statistical Tables 1

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Mathematical Phrases, Symbols, and Formulas

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

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Mathematical Phrases, Symbols, and Formulas Mathematical Phrases, Symbols, and Formulas 1

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