Course Modules: Math 10.MP1 Spring 2020

Landing Page

Landing Page Landing Page

Page

Welcome to Statistics Welcome to Statistics 1

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Google Drive

Google Drive Google Drive

External Url

Link to Google Drive Link to Google Drive 1

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Course Structure and Document Overview

Course Structure and Document Overview Course Structure and Document Overview

Page

Document Overview Document Overview 1

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Chapter 1 - Sampling and Data

Chapter 1 - Sampling and Data Chapter 1 - Sampling and Data

Prerequisites: Course Structure and Document Overview

Attachment

Chapter 1 Notes - Sampling and Data.pdf Chapter 1 Notes - Sampling and Data.pdf 1

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Attachment

Chapter 1 Notes Solutions - Sampling and Data .pdf Chapter 1 Notes Solutions - Sampling and Data .pdf 2

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Context Module Sub Header

Chapter 1 Textbook 3

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External Url

Introduction Introduction 4

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External Url

1.1 Definitions of Statistics, Probability, and Key Terms 1.1 Definitions of Statistics, Probability, and Key Terms 5

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External Url

1.2 Data, Sampling, and Variation in Data and Sampling 1.2 Data, Sampling, and Variation in Data and Sampling 6

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1.3 Frequency, Frequency Tables, and Levels of Measurement 1.3 Frequency, Frequency Tables, and Levels of Measurement 7

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1.4 Experimental Design and Ethics 1.4 Experimental Design and Ethics 8

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External Url

1.5 Data Collection Experiment 1.5 Data Collection Experiment 9

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External Url

1.6 Sampling Experiment 1.6 Sampling Experiment 10

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Chapter 2 - Descriptive Statistics

Chapter 2 - Descriptive Statistics Chapter 2 - Descriptive Statistics

Attachment

Chapter 2 Notes - Descriptive Statistics.pdf Chapter 2 Notes - Descriptive Statistics.pdf 1

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Context Module Sub Header

Chapter 2 Textbook 2

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External Url

Introduction Introduction 3

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External Url

2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs 2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs 4

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External Url

2.2 Histograms, Frequency Polygons, and Time Series Graphs 2.2 Histograms, Frequency Polygons, and Time Series Graphs 5

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External Url

2.3 Measures of the Location of the Data 2.3 Measures of the Location of the Data 6

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2.4 Box Plots 2.4 Box Plots 7

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External Url

2.5 Measures of the Center of the Data 2.5 Measures of the Center of the Data 8

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2.6 Skewness and the Mean, Median, and Mode 2.6 Skewness and the Mean, Median, and Mode 9

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External Url

2.7 Measures of the Spread of the Data 2.7 Measures of the Spread of the Data 10

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External Url

2.8 Descriptive Statistics 2.8 Descriptive Statistics 11

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Chapter 3 - Probability Topics

Chapter 3 - Probability Topics Chapter 3 - Probability Topics

Attachment

Ch 3 Notes - Probability Topics.pdf Ch 3 Notes - Probability Topics.pdf 1

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Context Module Sub Header

Chapter 3 Textbook 2

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External Url

Introduction Introduction 3

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External Url

3.1 Terminology 3.1 Terminology 4

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3.2 Independent and Mutually Exclusive Events 3.2 Independent and Mutually Exclusive Events 5

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3.3 Two Basic Rules of Probability 3.3 Two Basic Rules of Probability 6

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3.4 Contingency Tables 3.4 Contingency Tables 7

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3.5 Tree and Venn Diagrams 3.5 Tree and Venn Diagrams 8

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External Url

3.6 Probability Topics 3.6 Probability Topics 9

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Chapter 4 - Discrete Random Variables

Chapter 4 - Discrete Random Variables Chapter 4 - Discrete Random Variables

Prerequisites: Chapter 3 - Probability Topics

Attachment

Ch 4 Notes - Discrete Random Variables.pdf Ch 4 Notes - Discrete Random Variables.pdf 1

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Context Module Sub Header

Chapter 4 Textbook 2

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External Url

Introduction Introduction 3

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External Url

4.1 Probability Distribution Function (PDF) for a Discrete Random Variable 4.1 Probability Distribution Function (PDF) for a Discrete Random Variable 4

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4.2 Mean or Expected Value and Standard Deviation 4.2 Mean or Expected Value and Standard Deviation 5

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4.3 Binomial Distribution 4.3 Binomial Distribution 6

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4.4 Geometric Distribution 4.4 Geometric Distribution 7

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4.5 Hypergeometric Distribution 4.5 Hypergeometric Distribution 8

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4.6 Poisson Distribution 4.6 Poisson Distribution 9

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4.7 Discrete Distribution (Playing Card Experiment) 4.7 Discrete Distribution (Playing Card Experiment) 10

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4.8 Discrete Distribution (Lucky Dice Experiment) 4.8 Discrete Distribution (Lucky Dice Experiment) 11

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Chapter 5 - Continuous Random Variables

Chapter 5 - Continuous Random Variables Chapter 5 - Continuous Random Variables

Prerequisites: Chapter 4 - Discrete Random Variables

Attachment

Ch 5 Notes - Continuous Random Variables.pdf Ch 5 Notes - Continuous Random Variables.pdf 1

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Context Module Sub Header

Chapter 5 Textbook 2

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External Url

Introduction Introduction 3

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External Url

5.1 Continuous Probability Functions 5.1 Continuous Probability Functions 4

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5.2 The Uniform Distribution 5.2 The Uniform Distribution 5

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5.3 The Exponential Distribution 5.3 The Exponential Distribution 6

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5.4 Continuous Distribution 5.4 Continuous Distribution 7

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Chapter 6 - The Normal Distribution

Chapter 6 - The Normal Distribution Chapter 6 - The Normal Distribution

Prerequisites: Chapter 5 - Continuous Random Variables

Attachment

Ch 6 Notes - Normal Distribution.pdf Ch 6 Notes - Normal Distribution.pdf 1

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Context Module Sub Header

Chapter 6 Textbook 2

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External Url

Introduction Introduction 3

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External Url

6.1 The Standard Normal Distribution 6.1 The Standard Normal Distribution 4

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6.2 Using the Normal Distribution 6.2 Using the Normal Distribution 5

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External Url

6.3 Normal Distribution (Lap Times) 6.3 Normal Distribution (Lap Times) 6

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6.4 Normal Distribution (Pinkie Length) 6.4 Normal Distribution (Pinkie Length) 7

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Chapter 7 - The Central Limit Theorem

Chapter 7 - The Central Limit Theorem Chapter 7 - The Central Limit Theorem

Prerequisites: Chapter 6 - The Normal Distribution

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Ch 7 Notes - The Central Limit Theorem.pdf Ch 7 Notes - The Central Limit Theorem.pdf 1

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Chapter 7 Textbook 2

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Introduction Introduction 3

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7.1 The Central Limit Theorem for Sample Means (Averages) 7.1 The Central Limit Theorem for Sample Means (Averages) 4

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7.2 The Central Limit Theorem for Sums 7.2 The Central Limit Theorem for Sums 5

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7.3 Using the Central Limit Theorem 7.3 Using the Central Limit Theorem 6

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7.4 Central Limit Theorem (Pocket Change) 7.4 Central Limit Theorem (Pocket Change) 7

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7.5 Central Limit Theorem (Cookie Recipes) 7.5 Central Limit Theorem (Cookie Recipes) 8

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Chapter 8 - Confidence Intervals

Chapter 8 - Confidence Intervals Chapter 8 - Confidence Intervals

Prerequisites: Chapter 7 - The Central Limit Theorem

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Ch 8 Notes - Confidence Intervals.pdf Ch 8 Notes - Confidence Intervals.pdf 1

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Chapter 8 Textbook 2

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Introduction Introduction 3

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8.1 A Single Population Mean using the Normal Distribution 8.1 A Single Population Mean using the Normal Distribution 4

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8.2 A Single Population Mean using the Student t Distribution 8.2 A Single Population Mean using the Student t Distribution 5

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8.3 A Population Proportion 8.3 A Population Proportion 6

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8.4 Confidence Interval (Home Costs) 8.4 Confidence Interval (Home Costs) 7

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8.5 Confidence Interval (Place of Birth) 8.5 Confidence Interval (Place of Birth) 8

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8.6 Confidence Interval (Women's Heights) 8.6 Confidence Interval (Women's Heights) 9

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Chapter 9 - Hypothesis Testing with One Sample

Chapter 9 - Hypothesis Testing with One Sample Chapter 9 - Hypothesis Testing with One Sample

Prerequisites: Chapter 8 - Confidence Intervals

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Chapter 9 Notes - Hypothesis Testing 1 Sample w Graphs.pdf Chapter 9 Notes - Hypothesis Testing 1 Sample w Graphs.pdf 1

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Chapter 9 Textbook 2

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Introduction Introduction 3

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9.1 Null and Alternative Hypotheses 9.1 Null and Alternative Hypotheses 4

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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 5

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9.3 Distribution Needed for Hypothesis Testing 9.3 Distribution Needed for Hypothesis Testing 6

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9.4 Rare Events, the Sample, Decision and Conclusion 9.4 Rare Events, the Sample, Decision and Conclusion 7

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9.5 Additional Information and Full Hypothesis Test Examples 9.5 Additional Information and Full Hypothesis Test Examples 8

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9.6 Hypothesis Testing of a Single Mean and Single Proportion 9.6 Hypothesis Testing of a Single Mean and Single Proportion 9

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Chapter 10 - Hypothesis Testing with Two Samples

Chapter 10 - Hypothesis Testing with Two Samples Chapter 10 - Hypothesis Testing with Two Samples

Prerequisites: Chapter 9 - Hypothesis Testing with One Sample

Attachment

Chapter 10 Notes - Hypothesis Testing 2 Samples.pdf Chapter 10 Notes - Hypothesis Testing 2 Samples.pdf 1

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Chapter 10 Textbook 2

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Introduction Introduction 3

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10.1 Two Population Means with Unknown Standard Deviations 10.1 Two Population Means with Unknown Standard Deviations 4

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10.2 Two Population Means with Known Standard Deviations 10.2 Two Population Means with Known Standard Deviations 5

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10.3 Comparing Two Independent Population Proportions 10.3 Comparing Two Independent Population Proportions 6

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10.4 Matched or Paired Samples 10.4 Matched or Paired Samples 7

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10.5 Hypothesis Testing for Two Means and Two Proportions 10.5 Hypothesis Testing for Two Means and Two Proportions 8

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Chapter 11 - The Chi-Square Distribution

Chapter 11 - The Chi-Square Distribution Chapter 11 - The Chi-Square Distribution

Prerequisites: Chapter 10 - Hypothesis Testing with Two Samples

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Chapter 11 Notes - Chi Square.pdf Chapter 11 Notes - Chi Square.pdf 1

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Chapter 11 Textbook 2

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Introduction Introduction 3

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11.1 Facts About the Chi-Square Distribution 11.1 Facts About the Chi-Square Distribution 4

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11.2 Goodness-of-Fit Test 11.2 Goodness-of-Fit Test 5

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11.3 Test of Independence 11.3 Test of Independence 6

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11.4 Test for Homogeneity 11.4 Test for Homogeneity 7

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11.5 Comparison of the Chi-Square Tests 11.5 Comparison of the Chi-Square Tests 8

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11.6 Test of a Single Variance 11.6 Test of a Single Variance 9

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11.7 Lab 1: Chi-Square Goodness-of-Fit 11.7 Lab 1: Chi-Square Goodness-of-Fit 10

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11.8 Lab 2: Chi-Square Test of Independence 11.8 Lab 2: Chi-Square Test of Independence 11

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Chapter 12 - Linear Regression and Correlation

Chapter 12 - Linear Regression and Correlation Chapter 12 - Linear Regression and Correlation

Prerequisites: Chapter 11 - The Chi-Square Distribution

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Chapter 12 Notes - Regression & Correlation.pdf Chapter 12 Notes - Regression & Correlation.pdf 1

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Chapter 12 Textbook 2

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Introduction Introduction 3

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12.1 Linear Equations 12.1 Linear Equations 4

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12.2 Scatter Plots 12.2 Scatter Plots 5

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12.3 The Regression Equation 12.3 The Regression Equation 6

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12.4 Testing the Significance of the Correlation Coefficient 12.4 Testing the Significance of the Correlation Coefficient 7

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12.5 Prediction 12.5 Prediction 8

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12.6 Outliers 12.6 Outliers 9

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12.7 Regression (Distance from School) 12.7 Regression (Distance from School) 10

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12.8 Regression (Textbook Cost) 12.8 Regression (Textbook Cost) 11

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12.9 Regression (Fuel Efficiency) 12.9 Regression (Fuel Efficiency) 12

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Chapter 13 - F Distribution and One-Way ANOVA

Chapter 13 - F Distribution and One-Way ANOVA Chapter 13 - F Distribution and One-Way ANOVA

Prerequisites: Chapter 11 - The Chi-Square Distribution

Attachment

Chapter 13 Notes - ANOVA.pdf Chapter 13 Notes - ANOVA.pdf 1

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Context Module Sub Header

Chapter 13 Textbook 2

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Introduction Introduction 3

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13.1 One-Way ANOVA 13.1 One-Way ANOVA 4

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13.2 The F Distribution and the F-Ratio 13.2 The F Distribution and the F-Ratio 5

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13.3 Facts About the F Distribution 13.3 Facts About the F Distribution 6

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13.4 Test of Two Variances 13.4 Test of Two Variances 7

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13.5 Lab: One-Way ANOVA 13.5 Lab: One-Way ANOVA 8

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Additional Readings

Additional Readings Additional Readings

External Url

Review Exercises (Ch 3-13) Review Exercises (Ch 3-13) 1

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Practice Tests (1-4) and Final Exams Practice Tests (1-4) and Final Exams 2

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Data Sets Data Sets 3

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Group and Partner Projects Group and Partner Projects 4

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Solution Sheets Solution Sheets 5

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Mathematical Phrases, Symbols, and Formulas Mathematical Phrases, Symbols, and Formulas 6

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Notes for the TI-83, 83+, 84, 84+ Calculators Notes for the TI-83, 83+, 84, 84+ Calculators 7

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Tables Tables 8

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Course Modules

Landing Page

Google Drive

Course Structure and Document Overview

Chapter 1 - Sampling and Data

Chapter 1 Textbook 3

Chapter 2 - Descriptive Statistics

Chapter 2 Textbook 2

Chapter 3 - Probability Topics

Chapter 3 Textbook 2

Chapter 4 - Discrete Random Variables

Chapter 4 Textbook 2

Chapter 5 - Continuous Random Variables

Chapter 5 Textbook 2

Chapter 6 - The Normal Distribution

Chapter 6 Textbook 2

Chapter 7 - The Central Limit Theorem

Chapter 7 Textbook 2

Chapter 8 - Confidence Intervals

Chapter 8 Textbook 2

Chapter 9 - Hypothesis Testing with One Sample

Chapter 9 Textbook 2

Chapter 10 - Hypothesis Testing with Two Samples

Chapter 10 Textbook 2

Chapter 11 - The Chi-Square Distribution

Chapter 11 Textbook 2

Chapter 12 - Linear Regression and Correlation

Chapter 12 Textbook 2

Chapter 13 - F Distribution and One-Way ANOVA

Chapter 13 Textbook 2

Additional Readings