Course Modules: Quantitative Analysis I (F24-T)

Preambles

Preambles Preambles

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Overview and Goals Overview and Goals 1

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Textbooks and Software Textbooks and Software 2

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Routine and Expectations Routine and Expectations 3

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Technical Support Technical Support 4

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Before We Begin

Before We Begin Before We Begin

Discussion Topic

Student Introductions Student Introductions 5 1

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Quiz

Commitment Renewal Commitment Renewal 5 2

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Week 1: Observed Distribution and Frequency

Week 1: Observed Distribution and Frequency Week 1: Observed Distribution and Frequency

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Introduction: Observed Distribution and Frequency Introduction: Observed Distribution and Frequency 1

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Distribution Table Distribution Table 2

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R and RStudio R and RStudio 3

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Quiz

In-class Activity No. 1 In-class Activity No. 1 3 4

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Quiz

In-class Activity No. 2 In-class Activity No. 2 4 5

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

Group Project No. 1 Group Project No. 1 100 7

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Week 2: An Introduction to Probability Distribution

Week 2: An Introduction to Probability Distribution Week 2: An Introduction to Probability Distribution

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Introduction: Probability Distributions Introduction: Probability Distributions 1

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Probability Distributions Probability Distributions 2

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R: Summary Table and Summary Statistics R: Summary Table and Summary Statistics 3

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Quiz

In-class Activity No. 3 In-class Activity No. 3 3 4

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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The Recorded Session (Week 2) The Recorded Session (Week 2) 7

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Week 3: Probability and Sampling Distributions

Week 3: Probability and Sampling Distributions Week 3: Probability and Sampling Distributions

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Introduction: Probability and Sampling Distributions Introduction: Probability and Sampling Distributions 1

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R: Tidyverse R: Tidyverse 2

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Quiz

In-class Activity No. 4 In-class Activity No. 4 3 3

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Quiz

In-class Activity No. 5 In-class Activity No. 5 4 4

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Quiz

In-class Activity No. 6 In-class Activity No. 6 7 5

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Assignment

Group Project No. 2 Group Project No. 2 130 6

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Optional Materials: Writing Codes in R with Help from AI (I) Optional Materials: Writing Codes in R with Help from AI (I) 7

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The Recorded Session (Week 3) The Recorded Session (Week 3) 8

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Week 4: Confidence Interval Estimation and Hypothesis Testing

Week 4: Confidence Interval Estimation and Hypothesis Testing Week 4: Confidence Interval Estimation and Hypothesis Testing

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Introduction: Confidence Interval Estimation and Hypothesis Testing Introduction: Confidence Interval Estimation and Hypothesis Testing 1

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R: Confidence Interval Estimation R: Confidence Interval Estimation 2

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Quiz

In-class Activity No. 7 In-class Activity No. 7 6 3

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Quiz

Midterm Exam Midterm Exam 100 4

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Optional Materials: Writing Codes in R with Help from AI (II) Optional Materials: Writing Codes in R with Help from AI (II) 5

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The Recorded Session (Week 4) The Recorded Session (Week 4) 6

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Week 5: Regression Analysis I

Week 5: Regression Analysis I Week 5: Regression Analysis I

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Introduction: The Fundamentals of Regression Models (Part I) Introduction: The Fundamentals of Regression Models (Part I) 1

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R: Linear Model (Bivariate Functions) R: Linear Model (Bivariate Functions) 2

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Quiz

In-class Activity No. 8 In-class Activity No. 8 3 3

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

Group Project No. 3 Group Project No. 3 140 4

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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Optional Materials: Writing Codes in Python with Help from AI Optional Materials: Writing Codes in Python with Help from AI 5

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The Recorded Session (Week 5) The Recorded Session (Week 5) 6

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Week 6: Regression Analysis II

Week 6: Regression Analysis II Week 6: Regression Analysis II

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Introduction: The Fundamentals of Regression Models (Part II) Introduction: The Fundamentals of Regression Models (Part II) 1

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R: Linear Model (Multivariate Functions) R: Linear Model (Multivariate Functions) 2

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Quiz

In-class Activity No. 9 In-class Activity No. 9 7 3

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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Optional Materials: Writing Visualization Codes in R and Python with Help from AI Optional Materials: Writing Visualization Codes in R and Python with Help from AI 4

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The Recorded Session (Week 6) The Recorded Session (Week 6) 5

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Week 7: Further Topics in Regression Analysis

Week 7: Further Topics in Regression Analysis Week 7: Further Topics in Regression Analysis

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Introduction: Further Topics in Regression Analyses Introduction: Further Topics in Regression Analyses 1

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Residuals, R-Squared, and F-Test Residuals, R-Squared, and F-Test 2

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R: Linear Model (Multivariate Functions with Categorical Independent Variables) R: Linear Model (Multivariate Functions with Categorical Independent Variables) 3

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Quiz

In-class Activity No. 10 In-class Activity No. 10 4 4

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

Group Project No. 4 Group Project No. 4 100 5

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Optional Materials: Estimating Regression Parameters in Python with Help from AI Optional Materials: Estimating Regression Parameters in Python with Help from AI 6

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The Recorded Session (Week 7) The Recorded Session (Week 7) 7

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Week 8: An Introduction to Time-series Analyses

Week 8: An Introduction to Time-series Analyses Week 8: An Introduction to Time-series Analyses

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Introduction: The Fundamentals of Time-series Models Introduction: The Fundamentals of Time-series Models 1

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Quiz

Final Exam Final Exam 100 2

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External Url

Course Reflection Survey Course Reflection Survey 3

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The Recorded Session (Week 8) The Recorded Session (Week 8) 4

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