Course Modules

START HERE —> About This Course

START HERE —> About This Course START HERE —> About This Course

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Where to find the Syllabus... Where to find the Syllabus... 1

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Meet the Instructional Team Meet the Instructional Team 2

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Textbook & Technology Requirements Textbook & Technology Requirements 3

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Course Expectations & UW Policies Course Expectations & UW Policies 4

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AI use FAQ AI use FAQ 5

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Navigating Canvas Navigating Canvas 6

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Our Approach to Discussion Boards Our Approach to Discussion Boards 7

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Introduce Yourself Introduce Yourself 8

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Quiz

Introduction: this course and yourself Introduction: this course and yourself 9

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Module 1: Data & Measurement - Week of Jan 05

Module 1: Data & Measurement - Week of Jan 05 Module 1: Data & Measurement - Week of Jan 05

Complete All Items

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Overview: Data & Measurement Overview: Data & Measurement 1

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R & RStudio R & RStudio 2

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Introduction to the field of statistics Introduction to the field of statistics 3

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Inference as a means of discovery Inference as a means of discovery 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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Populations & parameters vs samples & statistics Populations & parameters vs samples & statistics 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
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Types of data Types of data 6

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Study Design Study Design 7

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Data Collection Data Collection 8

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Sampling Approaches Sampling Approaches 9

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Experimental Design Experimental Design 10

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Data & Measurement: Summary & Application Data & Measurement: Summary & Application 11

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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

Module 1 quiz Module 1 quiz 25 12

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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
External Url

RStudio Lab RStudio Lab 13

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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

Module 2: Descriptive Statistics - Week of Jan 12

Module 2: Descriptive Statistics - Week of Jan 12 Module 2: Descriptive Statistics - Week of Jan 12

Complete All Items

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Overview: Descriptive Statistics Overview: Descriptive Statistics 1

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Describing & Visualizing Data Describing & Visualizing Data 2

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Frequency distributions – location, spread, and shape Frequency distributions – location, spread, and shape 3

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Descriptive statistics – measures of central tendency Descriptive statistics – measures of central tendency 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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Descriptive statistics – measures of variation Descriptive statistics – measures of variation 5

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Descriptive statistics – measures of data position Descriptive statistics – measures of data position 6

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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 Empirical Rule The Empirical Rule 7

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Descriptive Statistics: R Functions Descriptive Statistics: R Functions 8

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Descriptive statistics: summary & application Descriptive statistics: summary & application 9

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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

Module 2 quiz Module 2 quiz 19 10

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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
External Url

RStudio Lab RStudio Lab 11

external_url 25437103 0

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

Module 3: Probability - Week of Jan 19

Module 3: Probability - Week of Jan 19 Module 3: Probability - Week of Jan 19

Complete All Items

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Overview: Probability Overview: Probability 1

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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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Introduction to probability Introduction to probability 2

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Probability experiments Probability experiments 3

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Probability calculations Probability calculations 4

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Mutual exclusivity, independence, & conditional probabilities Mutual exclusivity, independence, & conditional probabilities 5

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Fundamental counting principle and tree diagrams Fundamental counting principle and tree diagrams 6

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Surprising probabilities Surprising probabilities 7

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Permutations and combinations Permutations and combinations 8

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Applications of permutations and combinations Applications of permutations and combinations 9

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Probability: R functions Probability: R functions 10

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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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Probability: summary and application Probability: summary and application 11

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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

Module 3 quiz Module 3 quiz 25 12

must_submit quiz 25146398 1

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
External Url

RStudio Lab RStudio Lab 13

external_url 25438048 0

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

Module 4: Probability Distributions - Week of Jan 26

Module 4: Probability Distributions - Week of Jan 26 Module 4: Probability Distributions - Week of Jan 26

Complete All Items

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Overview: Probability Distributions Overview: Probability Distributions 1

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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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Probability distributions – introduction and definitions Probability distributions – introduction and definitions 2

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Random variables & discrete probability distributions Random variables & discrete probability distributions 3

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Empirical probability distributions Empirical probability distributions 4

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Binomial Distribution Binomial Distribution 5

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Geometric distribution Geometric distribution 6

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Poisson distribution Poisson distribution 7

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Probability distributions - R functions Probability distributions - R functions 8

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Probability distributions: summary and application Probability distributions: summary and application 9

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Quiz

Module 4 quiz Module 4 quiz 17 10

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External Url

RStudio Lab RStudio Lab 11

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Module 5: Continuous probability distributions and the Normal Distribution

Module 5: Continuous probability distributions and the Normal Distribution Module 5: Continuous probability distributions and the Normal Distribution

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Overview: Continuous probability distributions and the Normal Distribution Overview: Continuous probability distributions and the Normal Distribution 1

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Continuous data and the Normal distribution Continuous data and the Normal distribution 3

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Probability density and cumulative probability density functions Probability density and cumulative probability density functions 4

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The Normal and Standard Normal distribution The Normal and Standard Normal distribution 5

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The Normal approximation to the Binomial The Normal approximation to the Binomial 6

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Normal Distribution - R Functions Normal Distribution - R Functions 7

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The Normal distribution: summary and application The Normal distribution: summary and application 8

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Assignment

Module 5 Assignment -- Gradescope Submission Module 5 Assignment -- Gradescope Submission 55 14

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Module 6: Sampling distributions and confidence intervals

Module 6: Sampling distributions and confidence intervals Module 6: Sampling distributions and confidence intervals

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Overview: Sampling distributions & confidence intervals Overview: Sampling distributions & confidence intervals 1

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Sampling distributions Sampling distributions 2

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Statistical inference & the central limit theorem Statistical inference & the central limit theorem 3

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Quantifying uncertainty – Errors Quantifying uncertainty – Errors 4

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Introduction to Confidence Intervals Introduction to Confidence Intervals 5

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Confidence intervals for sample proportions Confidence intervals for sample proportions 6

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Confidence intervals for sample means Confidence intervals for sample means 7

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Confidence intervals - R functions Confidence intervals - R functions 8

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Sampling distributions and confidence intervals: summary and application Sampling distributions and confidence intervals: summary and application 9

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Assignment

Module 6 Assignment -- Gradescope Submission Module 6 Assignment -- Gradescope Submission 76 15

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Module 7: One-Sample Tests

Module 7: One-Sample Tests Module 7: One-Sample Tests

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Overview: One-Sample Tests Overview: One-Sample Tests 1

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Introduction to Hypothesis testing Introduction to Hypothesis testing 2

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Hypotheses and errors Hypotheses and errors 3

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Applied hypothesis testing Applied hypothesis testing 4

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Types of test, directionality, and p-values Types of test, directionality, and p-values 5

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One-sample z-test for proportions One-sample z-test for proportions 6

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One-sample t-test for means One-sample t-test for means 7

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Hypothesis testing - R functions Hypothesis testing - R functions 8

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Hypothesis testing: summary and application Hypothesis testing: summary and application 9

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Assignment

Module 7 Assignment -- Gradescope Submission Module 7 Assignment -- Gradescope Submission 55 15

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Module 8: Multiple-Sample Tests

Module 8: Multiple-Sample Tests Module 8: Multiple-Sample Tests

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Overview: Hypothesis testing with multiple samples Overview: Hypothesis testing with multiple samples 1

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Hypothesis testing with two samples Hypothesis testing with two samples 2

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Two-sample z-test for proportions Two-sample z-test for proportions 3

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Two-sample F-test of variance Two-sample F-test of variance 4

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Two-sample test of means: independent or paired data Two-sample test of means: independent or paired data 5

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Two-sample t-tests: application Two-sample t-tests: application 6

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Analysis of Variance Analysis of Variance 7

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Analysis of variance: application, interpretation and post-hoc tests Analysis of variance: application, interpretation and post-hoc tests 8

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Multiple sample hypothesis testing - R functions Multiple sample hypothesis testing - R functions 9

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Assignment

Module 8 Assignment -- Gradescope Submission Module 8 Assignment -- Gradescope Submission 80 15

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Module 9: Categorical Tests

Module 9: Categorical Tests Module 9: Categorical Tests

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Overview: Hypothesis testing with categorical data Overview: Hypothesis testing with categorical data 1

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Categorical data Categorical data 2

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Contingency tables Contingency tables 3

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The Chi-squared (χ2) distribution The Chi-squared (χ2) distribution 4

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Hypothesis tests with categorical data Hypothesis tests with categorical data 5

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The Chi-squared (χ2) goodness of fit test The Chi-squared (χ2) goodness of fit test 6

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The Chi-squared (χ2) test of independence The Chi-squared (χ2) test of independence 7

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Categorical hypothesis tests - R functions Categorical hypothesis tests - R functions 8

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Module 10: Regression

Module 10: Regression Module 10: Regression

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Overview: Correlation and course summary Overview: Correlation and course summary 1

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Introduction to correlation and regression Introduction to correlation and regression 2

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Correlation analysis Correlation analysis 3

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Regression analysis: simple linear models Regression analysis: simple linear models 4

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Correlation and regression - R functions Correlation and regression - R functions 5

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Assignment

Module 10 Assignment -- Gradescope Submission Module 10 Assignment -- Gradescope Submission 29 11

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