Course Modules

Module 1: Theories, Hypotheses, and Variables (Monday, August 2)

Module 1: Theories, Hypotheses, and Variables (Monday, August 2) Module 1: Theories, Hypotheses, and Variables (Monday, August 2)

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1.1 Video: Introduction [12:27] 1.1 Video: Introduction [12:27] 1

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1.2 Video: Research Questions, Theories, and Hypotheses [11:15] with Marco Alcocer 1.2 Video: Research Questions, Theories, and Hypotheses [11:15] with Marco Alcocer 2

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1.3 Recap: Research Questions, Theories, and Hypotheses 1.3 Recap: Research Questions, Theories, and Hypotheses 3

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1.4 Video: Dependent and Independent Variables [9:22] 1.4 Video: Dependent and Independent Variables [9:22] 4

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1.5 Recap: Dependent and Independent Variables 1.5 Recap: Dependent and Independent Variables 5

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1.6 Video: The Unit of Analysis [5:27] 1.6 Video: The Unit of Analysis [5:27] 6

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1.7 Recap: The Unit of Analysis 1.7 Recap: The Unit of Analysis 7

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1.8 Video: Types of Variables [7:31] 1.8 Video: Types of Variables [7:31] 8

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1.9 Recap: Types of Variables 1.9 Recap: Types of Variables 9

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1.10 Video: Measuring Variables [7:33] 1.10 Video: Measuring Variables [7:33] 10

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Attachment

Module 1 Slides Module 1 Slides 11

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Assignment

Lab 1 participation Lab 1 participation 1 12

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Lab 1 Recording Lab 1 Recording 13

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Module 2: Introduction to R, Confounding and Intervening Variables (Wednesday, August 4)

Module 2: Introduction to R, Confounding and Intervening Variables (Wednesday, August 4) Module 2: Introduction to R, Confounding and Intervening Variables (Wednesday, August 4)

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2.1 Introduction 2.1 Introduction 1

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2.2 Video: The RStudio Interface [7:44] 2.2 Video: The RStudio Interface [7:44] 2

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2.3 Video: Getting Started with R [13:59] 2.3 Video: Getting Started with R [13:59] 3

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2.4 Video: Vectors [11:59] 2.4 Video: Vectors [11:59] 4

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2.5 Video: Subsetting Vectors [14:11] 2.5 Video: Subsetting Vectors [14:11] 5

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2.6 Video: Logical Statements [9:15] 2.6 Video: Logical Statements [9:15] 6

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2.7 Video: Matrices and Data Frames [10:07] 2.7 Video: Matrices and Data Frames [10:07] 7

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2.8 Video: Working with Data Frames [12:37] 2.8 Video: Working with Data Frames [12:37] 8

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2.9 Video: Criteria of Confounding Variables [7:52] 2.9 Video: Criteria of Confounding Variables [7:52] 9

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2.10 Video: Confounding vs. Intervening Variables [4:56] 2.10 Video: Confounding vs. Intervening Variables [4:56] 11

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Quiz

Quiz 1: Research Questions, Hypotheses, and Variables Quiz 1: Research Questions, Hypotheses, and Variables 10 12

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External Url

Module 2 Code Module 2 Code 13

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Assignment

Lab 2 participation Lab 2 participation 1 14

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Lab 2 Recording Lab 2 Recording 15

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Module 3: Datasets, Codebooks, and Descriptive Analysis (Monday, August 9)

Module 3: Datasets, Codebooks, and Descriptive Analysis (Monday, August 9) Module 3: Datasets, Codebooks, and Descriptive Analysis (Monday, August 9)

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3.1 Video: Introduction [9:50] 3.1 Video: Introduction [9:50] 1

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3.2 Video: Working with Data Sets [8:26] with Nick Smith 3.2 Video: Working with Data Sets [8:26] with Nick Smith 2

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3.3 Text: Datasets and Codebooks for this Course 3.3 Text: Datasets and Codebooks for this Course 3

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3.4 Text/Videos: File Paths on Mac and Windows 3.4 Text/Videos: File Paths on Mac and Windows 4

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3.5 Video: Reading Data on Your Computer [9:48] 3.5 Video: Reading Data on Your Computer [9:48] 5

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3.7 Video: Univariate Analysis, Part II [04:40] 3.7 Video: Univariate Analysis, Part II [04:40] 6

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3.6 Video: Univariate Analysis, Part I [05:28] 3.6 Video: Univariate Analysis, Part I [05:28] 7

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3.8 Video: Bivariate Analysis with Data Visualization [14:37] 3.8 Video: Bivariate Analysis with Data Visualization [14:37] 8

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3.9 Video: Looking at Data in R [10:11] 3.9 Video: Looking at Data in R [10:11] 9

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3.10 Video: Introduction to GGPlot [17:55] 3.10 Video: Introduction to GGPlot [17:55] 10

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Attachment

Module 3 Slides Module 3 Slides 11

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External Url

Module 3 Code Module 3 Code 12

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Assignment

Lab 3 participation Lab 3 participation 1 13

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Lab 3 Recording Lab 3 Recording 15

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Module 4: Descriptive Analysis (Wednesday, August 11)

Module 4: Descriptive Analysis (Wednesday, August 11) Module 4: Descriptive Analysis (Wednesday, August 11)

Page

4.1 Video: Introduction [4:44] 4.1 Video: Introduction [4:44] 1

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4.2 Video: Univariate Analysis with Data Visualization [12:15] 4.2 Video: Univariate Analysis with Data Visualization [12:15] 2

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4.3 Video: Bivariate Analysis with Tables and Bar Plots [12:14] 4.3 Video: Bivariate Analysis with Tables and Bar Plots [12:14] 3

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4.4 Video: Bivariate Analysis with Scatter Plots and Correlation Coefficients [17:32] 4.4 Video: Bivariate Analysis with Scatter Plots and Correlation Coefficients [17:32] 4

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4.5 Video: Introduction to Data Transformation in R [15:31] 4.5 Video: Introduction to Data Transformation in R [15:31] 5

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4.6 Video: Univariate Analysis with Data Visualization in R [9:56] 4.6 Video: Univariate Analysis with Data Visualization in R [9:56] 6

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4.7 Video: Bivariate Tables and Bar Plots in R [19:30] 4.7 Video: Bivariate Tables and Bar Plots in R [19:30] 7

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4.8 Video: Scatter Plots and Correlation Coefficients in R [9:48] 4.8 Video: Scatter Plots and Correlation Coefficients in R [9:48] 8

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Module 4 Slides Module 4 Slides 9

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Module 4 Code Module 4 Code 10

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Homework 1 Homework 1 100 11

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Homework 1 Grading Criteria Homework 1 Grading Criteria 12

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Lab 4 participation Lab 4 participation 1 13

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Lab 4 Recording Lab 4 Recording 15

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Module 5: Populations and Samples, Margin of Error, Hypothesis Testing (Monday, August 16)

Module 5: Populations and Samples, Margin of Error, Hypothesis Testing (Monday, August 16) Module 5: Populations and Samples, Margin of Error, Hypothesis Testing (Monday, August 16)

Page

5.1 Video: Introduction [5:28] 5.1 Video: Introduction [5:28] 1

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5.2 Video: Populations and Samples [9:02] with Marco Alcocer 5.2 Video: Populations and Samples [9:02] with Marco Alcocer 2

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5.3 Population Parameters and Sample Statistics 5.3 Population Parameters and Sample Statistics 3

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5.4 Quick Recap: Populations and Samples 5.4 Quick Recap: Populations and Samples 4

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5.5 Video: Margin of Error [4:36] with Marco Alcocer 5.5 Video: Margin of Error [4:36] with Marco Alcocer 5

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5.6 Quick Recap: Margin of Error 5.6 Quick Recap: Margin of Error 6

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5.7 Video: Review: Populations, Samples, Margin of Error [6:35] 5.7 Video: Review: Populations, Samples, Margin of Error [6:35] 7

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5.8 Video: The Margin of Error and the Confidence Interval [13:03] 5.8 Video: The Margin of Error and the Confidence Interval [13:03] 8

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5.9 Video: Margins of Error, Confidence Intervals, and Hypothesis Tests [9:45] 5.9 Video: Margins of Error, Confidence Intervals, and Hypothesis Tests [9:45] 9

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5.10 Video: Margin of Error, Confidence Interval, Hypothesis Tests in R [12:19] 5.10 Video: Margin of Error, Confidence Interval, Hypothesis Tests in R [12:19] 10

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5.11 Video: Criteria of Confounding Variables [7:52] (Please watch it again) 5.11 Video: Criteria of Confounding Variables [7:52] (Please watch it again) 11

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5.12 Confounding Variables and the Limitations of Bivariate Hypothesis Tests [4:19] 5.12 Confounding Variables and the Limitations of Bivariate Hypothesis Tests [4:19] 12

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Module 5 Slides Module 5 Slides 13

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Module 5 Code Module 5 Code 14

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Lab 5 participation Lab 5 participation 1 15

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Lab 5 Recording Lab 5 Recording 17

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Module 6: Difference in Means Test, Cleaning Data in R (Wednesday, August 18)

Module 6: Difference in Means Test, Cleaning Data in R (Wednesday, August 18) Module 6: Difference in Means Test, Cleaning Data in R (Wednesday, August 18)

Page

6.1 Video: Introduction [4:51] 6.1 Video: Introduction [4:51] 1

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6.2 Video: Review: Using Samples to Make Inferences [9:18] 6.2 Video: Review: Using Samples to Make Inferences [9:18] 2

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6.3 Video: Difference in Means Test [14:22] 6.3 Video: Difference in Means Test [14:22] 3

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6.4 Video: County-Level Data from Opportunity Insights [4:11] 6.4 Video: County-Level Data from Opportunity Insights [4:11] 4

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6.5 Video: Cleaning Data with Dplyr, Part I [13:27] 6.5 Video: Cleaning Data with Dplyr, Part I [13:27] 5

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6.6 Video: Cleaning Data with Dplyr, Part II [12:31] 6.6 Video: Cleaning Data with Dplyr, Part II [12:31] 6

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6.7 Video: Cleaning Data with Dplyr, Part III [6:23] 6.7 Video: Cleaning Data with Dplyr, Part III [6:23] 7

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Module 6: Code Module 6: Code 8

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Module 6: Slides Module 6: Slides 9

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Lab 6 participation Lab 6 participation 1 10

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Quiz

Quiz 2: Populations and Samples, MOE, Hypothesis Testing Quiz 2: Populations and Samples, MOE, Hypothesis Testing 10 12

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Lab 6 Recording Lab 6 Recording 13

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Module 7: Regression Analysis, Part I (Monday, August 23)

Module 7: Regression Analysis, Part I (Monday, August 23) Module 7: Regression Analysis, Part I (Monday, August 23)

Page

7.1 Video: Introduction [2:58] 7.1 Video: Introduction [2:58] 1

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7.2 Video: P-values and Hypothesis Testing [10:13] 7.2 Video: P-values and Hypothesis Testing [10:13] 2

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7.3 Video: Significance Levels and Hypothesis Testing [15:33] 7.3 Video: Significance Levels and Hypothesis Testing [15:33] 3

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7.4 Video: Bivariate Hypothesis Testing with P-Values [10:02] with Alex Lange 7.4 Video: Bivariate Hypothesis Testing with P-Values [10:02] with Alex Lange 4

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7.5 Video: Regression Analysis: Introduction [9:16] 7.5 Video: Regression Analysis: Introduction [9:16] 5

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7.6 Recap: Intro to Regression Analysis 7.6 Recap: Intro to Regression Analysis 6

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7.6 Video: Regression Analysis: From the Data to Equation [12:44] 7.6 Video: Regression Analysis: From the Data to Equation [12:44] 7

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7.7 Video: Regression Analysis and Hypothesis Testing [15:13] 7.7 Video: Regression Analysis and Hypothesis Testing [15:13] 8

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7.8 Video: The R-Squared [11:30] 7.8 Video: The R-Squared [11:30] 9

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7.9 Recap: The R-squared 7.9 Recap: The R-squared 10

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7.10 Video: Regression Analysis in R [12:29] 7.10 Video: Regression Analysis in R [12:29] 11

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Module 7: Slides Module 7: Slides 12

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Module 7: Code Module 7: Code 13

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Lab 7 participation Lab 7 participation 1 14

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Lab 7 Recording Lab 7 Recording 16

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Module 8: Regression Analysis, Part II (Wednesday, August 25)

Module 8: Regression Analysis, Part II (Wednesday, August 25) Module 8: Regression Analysis, Part II (Wednesday, August 25)

Page

8.1 Video: Introduction [7:45] 8.1 Video: Introduction [7:45] 1

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8.2 Video: Review: Regression Analysis [7:23] 8.2 Video: Review: Regression Analysis [7:23] 2

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8.3 Video: Review: Regression in R [7:00] 8.3 Video: Review: Regression in R [7:00] 3

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8.4 Video: Introduction to Dummy Variables [5:24] 8.4 Video: Introduction to Dummy Variables [5:24] 4

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8.5 Video: Regressions with Dummy Variables [7:18] 8.5 Video: Regressions with Dummy Variables [7:18] 5

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8.6 Video: Dummy as the Independent Variable [12:27] 8.6 Video: Dummy as the Independent Variable [12:27] 6

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8.7 Video: Dummy and the Dependent Variable [17:20] 8.7 Video: Dummy and the Dependent Variable [17:20] 7

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8.8 Video: Dummies as Both Variables [7:03] 8.8 Video: Dummies as Both Variables [7:03] 8

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8.9 Video: Experiments as the Gold Standard [10:06] with Alex Lange 8.9 Video: Experiments as the Gold Standard [10:06] with Alex Lange 9

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8.10 Video: Observational Research Design [10:35] with Alex and Leo 8.10 Video: Observational Research Design [10:35] with Alex and Leo 10

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Module 8: Slides Module 8: Slides 11

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Module 8: Code Module 8: Code 12

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Quiz

Quiz 3: Experiments, Observational Studies Quiz 3: Experiments, Observational Studies 5 13

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Lab 8 participation Lab 8 participation 1 14

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Homework 2 Homework 2 100 16

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Homework 2 Grading Criteria Homework 2 Grading Criteria 17

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Module 9: Multivariate Regression, Part I

Module 9: Multivariate Regression, Part I Module 9: Multivariate Regression, Part I

Page

9.1 Video: Introduction [5:40] 9.1 Video: Introduction [5:40] 1

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9.2 Video: Multivariate Regression: Introduction [11:28] 9.2 Video: Multivariate Regression: Introduction [11:28] 2

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9.3 Recap: Multivariate Regression 9.3 Recap: Multivariate Regression 3

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9.4 Video: Multivariate Regression and Confounding Variables [13:01] 9.4 Video: Multivariate Regression and Confounding Variables [13:01] 4

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9.5 Video: Multivariate Regression in R [3:37] 9.5 Video: Multivariate Regression in R [3:37] 5

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9.6 Video: The Standard Error of the Regression Slope, Part I [9:48] 9.6 Video: The Standard Error of the Regression Slope, Part I [9:48] 6

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9.7 Video: The Standard Error of the Regression Slope, Part II [10:53] 9.7 Video: The Standard Error of the Regression Slope, Part II [10:53] 7

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9.8 Recap: The Standard Error of the Regression Slope 9.8 Recap: The Standard Error of the Regression Slope 8

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9.9 Video: Reading Regression Tables [9:23] 9.9 Video: Reading Regression Tables [9:23] 9

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9.10 Video: Review: Regression Tables and Confounding Variables [17:13] 9.10 Video: Review: Regression Tables and Confounding Variables [17:13] 10

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Module 9: Slides Module 9: Slides 11

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Module 9: Code Module 9: Code 12

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Lab 9 participation Lab 9 participation 1 13

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Lab 9 Recording Lab 9 Recording 14

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Module 10: Multivariate Regression, Part II

Module 10: Multivariate Regression, Part II Module 10: Multivariate Regression, Part II

Page

10.1 Video: Introduction [8:05] 10.1 Video: Introduction [8:05] 1

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10.2 Video: Generating Tables with Stargazer [9:37] 10.2 Video: Generating Tables with Stargazer [9:37] 2

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10.3 Video: Facets in GGPlot [20:57] 10.3 Video: Facets in GGPlot [20:57] 3

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10.4 Video: Regressions with Log-Transformed Variables in R [15:02] 10.4 Video: Regressions with Log-Transformed Variables in R [15:02] 4

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10.5 Video: Interpreting Regressions with Logarithmic Transformations [8:32] 10.5 Video: Interpreting Regressions with Logarithmic Transformations [8:32] 5

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10.6 Video: Resources to Keep Learning R [6:14] 10.6 Video: Resources to Keep Learning R [6:14] 6

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Attachment

Module 10: Slides Module 10: Slides 7

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External Url

Module 10: Code Module 10: Code 8

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Assignment

Lab 10 participation Lab 10 participation 1 9

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Assignment

Final Project Final Project 100 10

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[OPTIONAL] Excel Content

[OPTIONAL] Excel Content [OPTIONAL] Excel Content

Page

1. Getting Acquainted With Excel [15:09] 1. Getting Acquainted With Excel [15:09] 1

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2. Descriptive Analysis with Excel: Getting Started [17:10] 2. Descriptive Analysis with Excel: Getting Started [17:10] 2

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3. Univariate Analysis in Excel [14:33] 3. Univariate Analysis in Excel [14:33] 3

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4. COUNTIF, AVERAGEIF, and VLOOKUP [18:11] 4. COUNTIF, AVERAGEIF, and VLOOKUP [18:11] 4

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Page

5. Bivariate Analysis with Graphs in Excel [14:17] 5. Bivariate Analysis with Graphs in Excel [14:17] 5

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