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Title: Statistical Inference via Data Science

Open Graph Title: Statistical Inference via Data Science

X Title: Statistical Inference via Data Science

Description: An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools.

Open Graph Description: An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools.

X Description: An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools.

X: @ModernDive

Generator: bookdown 0.41 and GitBook 2.6.7

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Domain: moderndive.com

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og:typebook
og:imagehttps://moderndive.com//images/logos/book_cover.png
github-repomoderndive/ModernDive_book
twitter:cardsummary
twitter:imagehttps://moderndive.com//images/logos/book_cover.png
authorChester Ismay and Albert Y. Kim Foreword by Kelly S. McConville
date2026-01-29
apple-mobile-web-app-capableyes
apple-mobile-web-app-status-bar-styleblack

Links:

Welcome to ModernDivehttp://moderndive.com/index.html
Forewordhttp://moderndive.com/foreword.html
Prefacehttp://moderndive.com/preface.html
Introduction for studentshttp://moderndive.com/preface.html#introduction-for-students
What we hope you will learn from this bookhttp://moderndive.com/preface.html#what-we-hope-you-will-learn-from-this-book
Data/science pipelinehttp://moderndive.com/preface.html#datascience-pipeline
Reproducible researchhttp://moderndive.com/preface.html#reproducible-research
Final note for studentshttp://moderndive.com/preface.html#final-note-for-students
Introduction for instructorshttp://moderndive.com/preface.html#introduction-for-instructors
Resourceshttp://moderndive.com/preface.html#resources
Why did we write this book?http://moderndive.com/preface.html#why-did-we-write-this-book
Who is this book for?http://moderndive.com/preface.html#who-is-this-book-for
Connect and contributehttp://moderndive.com/preface.html#connect-and-contribute
Acknowledgementshttp://moderndive.com/preface.html#acknowledgements
About this bookhttp://moderndive.com/preface.html#about-this-book
About the authorshttp://moderndive.com/about-the-authors.html
1 Getting Started with Data in Rhttp://moderndive.com/1-getting-started.html
1.1 What are R and RStudio?http://moderndive.com/1-getting-started.html#r-rstudio
1.1.1 Installing R and RStudiohttp://moderndive.com/1-getting-started.html#installing
1.1.2 Using R via RStudiohttp://moderndive.com/1-getting-started.html#using-r-via-rstudio
1.2 How do I code in R?http://moderndive.com/1-getting-started.html#code
1.2.1 Basic programming concepts and terminologyhttp://moderndive.com/1-getting-started.html#programming-concepts
1.2.2 Errors, warnings, and messageshttp://moderndive.com/1-getting-started.html#messages
1.2.3 Tips on learning to codehttp://moderndive.com/1-getting-started.html#tips-code
1.3 What are R packages?http://moderndive.com/1-getting-started.html#packages
1.3.1 Package installationhttp://moderndive.com/1-getting-started.html#package-installation
1.3.2 Package loadinghttp://moderndive.com/1-getting-started.html#package-loading
1.3.3 Package usehttp://moderndive.com/1-getting-started.html#package-use
1.4 Explore your first datasetshttp://moderndive.com/1-getting-started.html#nycflights13
1.4.1 nycflights13 packagehttp://moderndive.com/1-getting-started.html#nycflights13-package
1.4.2 flights data framehttp://moderndive.com/1-getting-started.html#flights-data-frame
1.4.3 Exploring data frameshttp://moderndive.com/1-getting-started.html#exploredataframes
1.4.4 Identification and measurement variableshttp://moderndive.com/1-getting-started.html#identification-vs-measurement-variables
1.4.5 Help fileshttp://moderndive.com/1-getting-started.html#help-files
1.5 Conclusionhttp://moderndive.com/1-getting-started.html#conclusion
1.5.1 Additional resourceshttp://moderndive.com/1-getting-started.html#additional-resources
1.5.2 What’s to come?http://moderndive.com/1-getting-started.html#whats-to-come
2 Data Visualizationhttp://moderndive.com/2-viz.html
Needed packageshttp://moderndive.com/2-viz.html#needed-packages
2.1 The grammar of graphicshttp://moderndive.com/2-viz.html#grammarofgraphics
2.1.1 Components of the grammarhttp://moderndive.com/2-viz.html#components-of-the-grammar
2.1.2 Gapminder datahttp://moderndive.com/2-viz.html#gapminder
2.1.3 Other componentshttp://moderndive.com/2-viz.html#other-components
2.1.4 ggplot2 packagehttp://moderndive.com/2-viz.html#ggplot2-package
2.2 Five named graphs - the 5NGhttp://moderndive.com/2-viz.html#FiveNG
2.3 5NG#1: Scatterplotshttp://moderndive.com/2-viz.html#scatterplots
2.3.1 Scatterplots via geom_pointhttp://moderndive.com/2-viz.html#geompoint
2.3.2 Overplottinghttp://moderndive.com/2-viz.html#overplotting
2.3.3 Summaryhttp://moderndive.com/2-viz.html#summary
2.4 5NG#2: Linegraphshttp://moderndive.com/2-viz.html#linegraphs
2.4.1 Linegraphs via geom_linehttp://moderndive.com/2-viz.html#geomline
2.4.2 Summaryhttp://moderndive.com/2-viz.html#summary-1
2.5 5NG#3: Histogramshttp://moderndive.com/2-viz.html#histograms
2.5.1 Histograms via geom_histogramhttp://moderndive.com/2-viz.html#geomhistogram
2.5.2 Adjusting the binshttp://moderndive.com/2-viz.html#adjustbins
2.5.3 Summaryhttp://moderndive.com/2-viz.html#summary-2
2.6 Facetshttp://moderndive.com/2-viz.html#facets
2.7 5NG#4: Boxplotshttp://moderndive.com/2-viz.html#boxplots
2.7.1 Boxplots via geom_boxplothttp://moderndive.com/2-viz.html#geomboxplot
2.7.2 Summaryhttp://moderndive.com/2-viz.html#summary-3
2.8 5NG#5: Barplotshttp://moderndive.com/2-viz.html#geombar
2.8.1 Barplots via geom_bar or geom_colhttp://moderndive.com/2-viz.html#barplots-via-geom_bar-or-geom_col
2.8.2 Must avoid pie charts!http://moderndive.com/2-viz.html#must-avoid-pie-charts
2.8.3 Two categorical variableshttp://moderndive.com/2-viz.html#two-categ-barplot
2.8.4 Summaryhttp://moderndive.com/2-viz.html#summary-4
2.9 Conclusionhttp://moderndive.com/2-viz.html#data-vis-conclusion
2.9.1 Summary tablehttp://moderndive.com/2-viz.html#summary-table
2.9.2 Function argument specificationhttp://moderndive.com/2-viz.html#function-argument-specification
2.9.3 Additional resourceshttp://moderndive.com/2-viz.html#additional-resources-1
2.9.4 What’s to comehttp://moderndive.com/2-viz.html#whats-to-come-3
3 Data Wranglinghttp://moderndive.com/3-wrangling.html
Needed packageshttp://moderndive.com/3-wrangling.html#wrangling-packages
3.1 The pipe operator: %>%http://moderndive.com/3-wrangling.html#piping
3.2 filter rowshttp://moderndive.com/3-wrangling.html#filter
3.3 summarize variableshttp://moderndive.com/3-wrangling.html#summarize
3.4 group_by rowshttp://moderndive.com/3-wrangling.html#groupby
3.4.1 Grouping by more than one variablehttp://moderndive.com/3-wrangling.html#grouping-by-more-than-one-variable
3.5 mutate existing variableshttp://moderndive.com/3-wrangling.html#mutate
3.6 arrange and sort rowshttp://moderndive.com/3-wrangling.html#arrange
3.7 join data frameshttp://moderndive.com/3-wrangling.html#joins
3.7.1 Matching “key” variable nameshttp://moderndive.com/3-wrangling.html#matching-key-variable-names
3.7.2 Different “key” variable nameshttp://moderndive.com/3-wrangling.html#diff-key
3.7.3 Multiple “key” variableshttp://moderndive.com/3-wrangling.html#multiple-key-variables
3.7.4 Normal formshttp://moderndive.com/3-wrangling.html#normal-forms
3.8 Other verbshttp://moderndive.com/3-wrangling.html#other-verbs
3.8.1 select variableshttp://moderndive.com/3-wrangling.html#select
3.8.2 rename variableshttp://moderndive.com/3-wrangling.html#rename
3.8.3 top_n values of a variablehttp://moderndive.com/3-wrangling.html#top_n-values-of-a-variable
3.9 Conclusionhttp://moderndive.com/3-wrangling.html#wrangling-conclusion
3.9.1 Summary tablehttp://moderndive.com/3-wrangling.html#summary-table-1
3.9.2 Additional resourceshttp://moderndive.com/3-wrangling.html#additional-resources-2
3.9.3 What’s to come?http://moderndive.com/3-wrangling.html#whats-to-come-1
4 Data Importing and “Tidy” Datahttp://moderndive.com/4-tidy.html
Needed packageshttp://moderndive.com/4-tidy.html#tidy-packages
4.1 Importing datahttp://moderndive.com/4-tidy.html#csv
4.1.1 Using the consolehttp://moderndive.com/4-tidy.html#using-the-console
4.1.2 Using RStudio’s interfacehttp://moderndive.com/4-tidy.html#using-rstudios-interface
4.2 “Tidy” datahttp://moderndive.com/4-tidy.html#tidy-data-ex
4.2.1 Definition of “tidy” datahttp://moderndive.com/4-tidy.html#tidy-definition
4.2.2 Converting to “tidy” datahttp://moderndive.com/4-tidy.html#converting-to-tidy-data
4.2.3 nycflights13 packagehttp://moderndive.com/4-tidy.html#nycflights13-package-1
4.3 Case study: Democracy in Guatemalahttp://moderndive.com/4-tidy.html#case-study-tidy
4.4 tidyverse packagehttp://moderndive.com/4-tidy.html#tidyverse-package
4.5 Conclusionhttp://moderndive.com/4-tidy.html#tidy-data-conclusion
4.5.1 Additional resourceshttp://moderndive.com/4-tidy.html#additional-resources-3
4.5.2 What’s to come?http://moderndive.com/4-tidy.html#whats-to-come-2
5 Basic Regressionhttp://moderndive.com/5-regression.html
Needed packageshttp://moderndive.com/5-regression.html#reg-packages
5.1 One numerical explanatory variablehttp://moderndive.com/5-regression.html#model1
5.1.1 Exploratory data analysishttp://moderndive.com/5-regression.html#model1EDA
5.1.2 Simple linear regressionhttp://moderndive.com/5-regression.html#model1table
5.1.3 Observed/fitted values and residualshttp://moderndive.com/5-regression.html#model1points
5.2 One categorical explanatory variablehttp://moderndive.com/5-regression.html#model2
5.2.1 Exploratory data analysishttp://moderndive.com/5-regression.html#model2EDA
5.2.2 Linear regressionhttp://moderndive.com/5-regression.html#model2table
5.2.3 Observed/fitted values and residualshttp://moderndive.com/5-regression.html#model2points
5.3 Related topicshttp://moderndive.com/5-regression.html#reg-related-topics
5.3.1 Correlation is not necessarily causationhttp://moderndive.com/5-regression.html#correlation-is-not-causation
5.3.2 Best-fitting linehttp://moderndive.com/5-regression.html#leastsquares
5.3.3 get_regression_x() functionshttp://moderndive.com/5-regression.html#underthehood
5.4 Conclusionhttp://moderndive.com/5-regression.html#reg-conclusion
5.4.1 Additional resourceshttp://moderndive.com/5-regression.html#additional-resources-basic-regression
5.4.2 What’s to come?http://moderndive.com/5-regression.html#whats-to-come-4
6 Multiple Regressionhttp://moderndive.com/6-multiple-regression.html
Needed packageshttp://moderndive.com/6-multiple-regression.html#mult-reg-packages
6.1 One numerical and one categorical explanatory variablehttp://moderndive.com/6-multiple-regression.html#model4
6.1.1 Exploratory data analysishttp://moderndive.com/6-multiple-regression.html#model4EDA
6.1.2 Interaction modelhttp://moderndive.com/6-multiple-regression.html#model4interactiontable
6.1.3 Parallel slopes modelhttp://moderndive.com/6-multiple-regression.html#model4table
6.1.4 Observed/fitted values and residualshttp://moderndive.com/6-multiple-regression.html#model4points
6.2 Two numerical explanatory variableshttp://moderndive.com/6-multiple-regression.html#model3
6.2.1 Exploratory data analysishttp://moderndive.com/6-multiple-regression.html#model3EDA
6.2.2 Regression planehttp://moderndive.com/6-multiple-regression.html#model3table
6.2.3 Observed/fitted values and residualshttp://moderndive.com/6-multiple-regression.html#model3points
6.3 Related topicshttp://moderndive.com/6-multiple-regression.html#mult-reg-related-topics
6.3.1 Model selection using visualizationshttp://moderndive.com/6-multiple-regression.html#model-selection
6.3.2 Model selection using R-squaredhttp://moderndive.com/6-multiple-regression.html#rsquared
6.3.3 Correlation coefficienthttp://moderndive.com/6-multiple-regression.html#correlationcoefficient2
6.3.4 Simpson’s Paradoxhttp://moderndive.com/6-multiple-regression.html#simpsonsparadox
6.4 Conclusionhttp://moderndive.com/6-multiple-regression.html#mult-reg-conclusion
6.4.1 Additional resourceshttp://moderndive.com/6-multiple-regression.html#additional-resources-4
6.4.2 What’s to come?http://moderndive.com/6-multiple-regression.html#whats-to-come-5
7 Samplinghttp://moderndive.com/7-sampling.html
Needed packageshttp://moderndive.com/7-sampling.html#sampling-packages
7.1 Sampling bowl activityhttp://moderndive.com/7-sampling.html#sampling-activity
7.1.1 What proportion of this bowl’s balls are red?http://moderndive.com/7-sampling.html#what-proportion-of-this-bowls-balls-are-red
7.1.2 Using the shovel oncehttp://moderndive.com/7-sampling.html#using-the-shovel-once
7.1.3 Using the shovel 33 timeshttp://moderndive.com/7-sampling.html#student-shovels
7.1.4 What did we just do?http://moderndive.com/7-sampling.html#sampling-what-did-we-just-do
7.2 Virtual samplinghttp://moderndive.com/7-sampling.html#sampling-simulation
7.2.1 Using the virtual shovel oncehttp://moderndive.com/7-sampling.html#using-the-virtual-shovel-once
7.2.2 Using the virtual shovel 33 timeshttp://moderndive.com/7-sampling.html#using-the-virtual-shovel-33-times
7.2.3 Using the virtual shovel 1000 timeshttp://moderndive.com/7-sampling.html#shovel-1000-times
7.2.4 Using different shovelshttp://moderndive.com/7-sampling.html#different-shovels
7.3 Sampling frameworkhttp://moderndive.com/7-sampling.html#sampling-framework
7.3.1 Terminology and notationhttp://moderndive.com/7-sampling.html#terminology-and-notation
7.3.2 Statistical definitionshttp://moderndive.com/7-sampling.html#sampling-definitions
7.3.3 The moral of the storyhttp://moderndive.com/7-sampling.html#moral-of-the-story
7.4 Case study: Pollshttp://moderndive.com/7-sampling.html#sampling-case-study
7.5 Central Limit Theoremhttp://moderndive.com/7-sampling.html#sampling-conclusion-central-limit-theorem
7.6 Conclusionhttp://moderndive.com/7-sampling.html#sampling-conclusion
7.6.1 Sampling scenarioshttp://moderndive.com/7-sampling.html#sampling-conclusion-table
7.6.2 Theory-based standard-errorshttp://moderndive.com/7-sampling.html#theory-se
7.6.3 Additional resourceshttp://moderndive.com/7-sampling.html#additional-resources-5
7.6.4 What’s to come?http://moderndive.com/7-sampling.html#whats-to-come-6
8 Bootstrapping and Confidence Intervalshttp://moderndive.com/8-confidence-intervals.html
Needed packageshttp://moderndive.com/8-confidence-intervals.html#CI-packages
8.1 Pennies activityhttp://moderndive.com/8-confidence-intervals.html#resampling-tactile
8.1.1 What is the average year on US pennies in 2019?http://moderndive.com/8-confidence-intervals.html#what-is-the-average-year-on-us-pennies-in-2019
8.1.2 Resampling oncehttp://moderndive.com/8-confidence-intervals.html#resampling-once
8.1.3 Resampling 35 timeshttp://moderndive.com/8-confidence-intervals.html#student-resamples
8.1.4 What did we just do?http://moderndive.com/8-confidence-intervals.html#ci-what-did-we-just-do
8.2 Computer simulation of resamplinghttp://moderndive.com/8-confidence-intervals.html#resampling-simulation
8.2.1 Virtually resampling oncehttp://moderndive.com/8-confidence-intervals.html#virtually-resampling-once
8.2.2 Virtually resampling 35 timeshttp://moderndive.com/8-confidence-intervals.html#bootstrap-35-replicates
8.2.3 Virtually resampling 1000 timeshttp://moderndive.com/8-confidence-intervals.html#bootstrap-1000-replicates
8.3 Understanding confidence intervalshttp://moderndive.com/8-confidence-intervals.html#ci-build-up
8.3.1 Percentile methodhttp://moderndive.com/8-confidence-intervals.html#percentile-method
8.3.2 Standard error methodhttp://moderndive.com/8-confidence-intervals.html#se-method
8.4 Constructing confidence intervalshttp://moderndive.com/8-confidence-intervals.html#bootstrap-process
8.4.1 Original workflowhttp://moderndive.com/8-confidence-intervals.html#original-workflow
8.4.2 infer package workflowhttp://moderndive.com/8-confidence-intervals.html#infer-workflow
8.4.3 Percentile method with inferhttp://moderndive.com/8-confidence-intervals.html#percentile-method-infer
8.4.4 Standard error method with inferhttp://moderndive.com/8-confidence-intervals.html#infer-se
8.5 Interpreting confidence intervalshttp://moderndive.com/8-confidence-intervals.html#one-prop-ci
8.5.1 Did the net capture the fish?http://moderndive.com/8-confidence-intervals.html#ilyas-yohan
8.5.2 Precise and shorthand interpretationhttp://moderndive.com/8-confidence-intervals.html#shorthand
8.5.3 Width of confidence intervalshttp://moderndive.com/8-confidence-intervals.html#ci-width
8.6 Case study: Is yawning contagious?http://moderndive.com/8-confidence-intervals.html#case-study-two-prop-ci
8.6.1 Mythbusters study datahttp://moderndive.com/8-confidence-intervals.html#mythbusters-study-data
8.6.2 Sampling scenariohttp://moderndive.com/8-confidence-intervals.html#sampling-scenario
8.6.3 Constructing the confidence intervalhttp://moderndive.com/8-confidence-intervals.html#ci-build
8.6.4 Interpreting the confidence intervalhttp://moderndive.com/8-confidence-intervals.html#interpreting-the-confidence-interval
8.7 Conclusionhttp://moderndive.com/8-confidence-intervals.html#ci-conclusion
8.7.1 Comparing bootstrap and sampling distributionshttp://moderndive.com/8-confidence-intervals.html#bootstrap-vs-sampling
8.7.2 Theory-based confidence intervalshttp://moderndive.com/8-confidence-intervals.html#theory-ci
8.7.3 Additional resourceshttp://moderndive.com/8-confidence-intervals.html#additional-resources-6
8.7.4 What’s to come?http://moderndive.com/8-confidence-intervals.html#whats-to-come-7
9 Hypothesis Testinghttp://moderndive.com/9-hypothesis-testing.html
Needed packageshttp://moderndive.com/9-hypothesis-testing.html#nhst-packages
9.1 Promotions activityhttp://moderndive.com/9-hypothesis-testing.html#ht-activity
9.1.1 Does gender affect promotions at a bank?http://moderndive.com/9-hypothesis-testing.html#does-gender-affect-promotions-at-a-bank
9.1.2 Shuffling oncehttp://moderndive.com/9-hypothesis-testing.html#shuffling-once
9.1.3 Shuffling 16 timeshttp://moderndive.com/9-hypothesis-testing.html#shuffling-16-times
9.1.4 What did we just do?http://moderndive.com/9-hypothesis-testing.html#ht-what-did-we-just-do
9.2 Understanding hypothesis testshttp://moderndive.com/9-hypothesis-testing.html#understanding-ht
9.3 Conducting hypothesis testshttp://moderndive.com/9-hypothesis-testing.html#ht-infer
9.3.1 infer package workflowhttp://moderndive.com/9-hypothesis-testing.html#infer-workflow-ht
9.3.2 Comparison with confidence intervalshttp://moderndive.com/9-hypothesis-testing.html#comparing-infer-workflows
9.3.3 “There is only one test”http://moderndive.com/9-hypothesis-testing.html#only-one-test
9.4 Interpreting hypothesis testshttp://moderndive.com/9-hypothesis-testing.html#ht-interpretation
9.4.1 Two possible outcomeshttp://moderndive.com/9-hypothesis-testing.html#trial
9.4.2 Types of errorshttp://moderndive.com/9-hypothesis-testing.html#types-of-errors
9.4.3 How do we choose alpha?http://moderndive.com/9-hypothesis-testing.html#choosing-alpha
9.5 Case study: Are action or romance movies rated higher?http://moderndive.com/9-hypothesis-testing.html#ht-case-study
9.5.1 IMDb ratings datahttp://moderndive.com/9-hypothesis-testing.html#imdb-data
9.5.2 Sampling scenariohttp://moderndive.com/9-hypothesis-testing.html#sampling-scenario-1
9.5.3 Conducting the hypothesis testhttp://moderndive.com/9-hypothesis-testing.html#conducting-the-hypothesis-test
9.6 Conclusionhttp://moderndive.com/9-hypothesis-testing.html#nhst-conclusion
9.6.1 Theory-based hypothesis testshttp://moderndive.com/9-hypothesis-testing.html#theory-hypo
9.6.2 When inference is not neededhttp://moderndive.com/9-hypothesis-testing.html#when-inference-is-not-needed
9.6.3 Problems with p-valueshttp://moderndive.com/9-hypothesis-testing.html#problems-with-p-values
9.6.4 Additional resourceshttp://moderndive.com/9-hypothesis-testing.html#additional-resources-7
9.6.5 What’s to comehttp://moderndive.com/9-hypothesis-testing.html#whats-to-come-8
10 Inference for Regressionhttp://moderndive.com/10-inference-for-regression.html
Needed packageshttp://moderndive.com/10-inference-for-regression.html#inf-packages
10.1 Regression refresherhttp://moderndive.com/10-inference-for-regression.html#regression-refresher
10.1.1 Teaching evaluations analysishttp://moderndive.com/10-inference-for-regression.html#teaching-evaluations-analysis
10.1.2 Sampling scenariohttp://moderndive.com/10-inference-for-regression.html#sampling-scenario-2
10.2 Interpreting regression tableshttp://moderndive.com/10-inference-for-regression.html#regression-interp
10.2.1 Standard errorhttp://moderndive.com/10-inference-for-regression.html#regression-se
10.2.2 Test statistichttp://moderndive.com/10-inference-for-regression.html#regression-test-statistic
10.2.3 p-valuehttp://moderndive.com/10-inference-for-regression.html#p-value
10.2.4 Confidence intervalhttp://moderndive.com/10-inference-for-regression.html#confidence-interval
10.2.5 How does R compute the table?http://moderndive.com/10-inference-for-regression.html#regression-table-computation
10.3 Conditions for inference for regressionhttp://moderndive.com/10-inference-for-regression.html#regression-conditions
10.3.1 Residuals refresherhttp://moderndive.com/10-inference-for-regression.html#residuals-refresher
10.3.2 Linearity of relationshiphttp://moderndive.com/10-inference-for-regression.html#linearity-of-relationship
10.3.3 Independence of residualshttp://moderndive.com/10-inference-for-regression.html#independence-of-residuals
10.3.4 Normality of residualshttp://moderndive.com/10-inference-for-regression.html#normality-of-residuals
10.3.5 Equality of variancehttp://moderndive.com/10-inference-for-regression.html#equality-of-variance
10.3.6 What’s the conclusion?http://moderndive.com/10-inference-for-regression.html#what-is-the-conclusion
10.4 Simulation-based inference for regressionhttp://moderndive.com/10-inference-for-regression.html#infer-regression
10.4.1 Confidence interval for slopehttp://moderndive.com/10-inference-for-regression.html#confidence-interval-for-slope
10.4.2 Hypothesis test for slopehttp://moderndive.com/10-inference-for-regression.html#hypothesis-test-for-slope
10.5 Conclusionhttp://moderndive.com/10-inference-for-regression.html#inference-conclusion
10.5.1 Theory-based inference for regressionhttp://moderndive.com/10-inference-for-regression.html#theory-regression
10.5.2 Summary of statistical inferencehttp://moderndive.com/10-inference-for-regression.html#summary-of-statistical-inference
10.5.3 Additional resourceshttp://moderndive.com/10-inference-for-regression.html#additional-resources-8
10.5.4 What’s to comehttp://moderndive.com/10-inference-for-regression.html#whats-to-come-9
11 Tell Your Story with Datahttp://moderndive.com/11-thinking-with-data.html
11.1 Reviewhttp://moderndive.com/11-thinking-with-data.html#review
Needed packageshttp://moderndive.com/11-thinking-with-data.html#story-packages
11.2 Case study: Seattle house priceshttp://moderndive.com/11-thinking-with-data.html#seattle-house-prices
11.2.1 Exploratory data analysis: Part Ihttp://moderndive.com/11-thinking-with-data.html#house-prices-EDA-I
11.2.2 Exploratory data analysis: Part IIhttp://moderndive.com/11-thinking-with-data.html#house-prices-EDA-II
11.2.3 Regression modelinghttp://moderndive.com/11-thinking-with-data.html#house-prices-regression
11.2.4 Making predictionshttp://moderndive.com/11-thinking-with-data.html#house-prices-making-predictions
11.3 Case study: Effective data storytellinghttp://moderndive.com/11-thinking-with-data.html#data-journalism
11.3.1 Bechdel test for Hollywood gender representationhttp://moderndive.com/11-thinking-with-data.html#bechdel-test-for-hollywood-gender-representation
11.3.2 US Births in 1999http://moderndive.com/11-thinking-with-data.html#us-births-in-1999
11.3.3 Scripts of R codehttp://moderndive.com/11-thinking-with-data.html#scripts-of-r-code
Concluding remarkshttp://moderndive.com/11-thinking-with-data.html#concluding-remarks
A Statistical Backgroundhttp://moderndive.com/A-appendixA.html
A.1 Basic statistical termshttp://moderndive.com/A-appendixA.html#appendix-stat-terms
A.1.1 Meanhttp://moderndive.com/A-appendixA.html#mean
A.1.2 Medianhttp://moderndive.com/A-appendixA.html#median
A.1.3 Standard deviation and variancehttp://moderndive.com/A-appendixA.html#appendix-sd-variance
A.1.4 Five-number summaryhttp://moderndive.com/A-appendixA.html#five-number-summary
A.1.5 Distributionhttp://moderndive.com/A-appendixA.html#distribution
A.1.6 Outliershttp://moderndive.com/A-appendixA.html#outliers
A.2 Normal distributionhttp://moderndive.com/A-appendixA.html#appendix-normal-curve
A.3 log10 transformationshttp://moderndive.com/A-appendixA.html#appendix-log10-transformations
B Inference Exampleshttp://moderndive.com/B-appendixB.html
Needed packageshttp://moderndive.com/B-appendixB.html#needed-packages-1
B.1 Inference mind maphttp://moderndive.com/B-appendixB.html#inference-mind-map
B.2 One meanhttp://moderndive.com/B-appendixB.html#one-mean
B.2.1 Problem statementhttp://moderndive.com/B-appendixB.html#problem-statement
B.2.2 Competing hypotheseshttp://moderndive.com/B-appendixB.html#competing-hypotheses
B.2.3 Exploring the sample datahttp://moderndive.com/B-appendixB.html#exploring-the-sample-data
B.2.4 Non-traditional methodshttp://moderndive.com/B-appendixB.html#non-traditional-methods
B.2.5 Traditional methodshttp://moderndive.com/B-appendixB.html#traditional-methods
B.2.6 Comparing resultshttp://moderndive.com/B-appendixB.html#comparing-results
B.3 One proportionhttp://moderndive.com/B-appendixB.html#one-proportion
B.3.1 Problem statementhttp://moderndive.com/B-appendixB.html#problem-statement-1
B.3.2 Competing hypotheseshttp://moderndive.com/B-appendixB.html#competing-hypotheses-1
B.3.3 Exploring the sample datahttp://moderndive.com/B-appendixB.html#exploring-the-sample-data-1
B.3.4 Non-traditional methodshttp://moderndive.com/B-appendixB.html#non-traditional-methods-1
B.3.5 Traditional methodshttp://moderndive.com/B-appendixB.html#traditional-methods-1
B.3.6 Comparing resultshttp://moderndive.com/B-appendixB.html#comparing-results-1
B.4 Two proportionshttp://moderndive.com/B-appendixB.html#two-proportions
B.4.1 Problem statementhttp://moderndive.com/B-appendixB.html#problem-statement-2
B.4.2 Competing hypotheseshttp://moderndive.com/B-appendixB.html#competing-hypotheses-2
B.4.3 Exploring the sample datahttp://moderndive.com/B-appendixB.html#exploring-the-sample-data-2
B.4.4 Non-traditional methodshttp://moderndive.com/B-appendixB.html#non-traditional-methods-2
B.4.5 Traditional methodshttp://moderndive.com/B-appendixB.html#traditional-methods-2
B.4.6 Test statistichttp://moderndive.com/B-appendixB.html#test-statistic-2
B.4.7 State conclusionhttp://moderndive.com/B-appendixB.html#state-conclusion-2
B.4.8 Comparing resultshttp://moderndive.com/B-appendixB.html#comparing-results-2
B.5 Two means (independent samples)http://moderndive.com/B-appendixB.html#two-means-independent-samples
B.5.1 Problem statementhttp://moderndive.com/B-appendixB.html#problem-statement-3
B.5.2 Competing hypotheseshttp://moderndive.com/B-appendixB.html#competing-hypotheses-3
B.5.3 Exploring the sample datahttp://moderndive.com/B-appendixB.html#exploring-the-sample-data-3
B.5.4 Non-traditional methodshttp://moderndive.com/B-appendixB.html#non-traditional-methods-3
B.5.5 Traditional methodshttp://moderndive.com/B-appendixB.html#traditional-methods-3
B.5.6 Test statistichttp://moderndive.com/B-appendixB.html#test-statistic-3
B.5.7 Compute \(p\)-valuehttp://moderndive.com/B-appendixB.html#compute-p-value-1
B.5.8 State conclusionhttp://moderndive.com/B-appendixB.html#state-conclusion-3
B.5.9 Comparing resultshttp://moderndive.com/B-appendixB.html#comparing-results-3
B.6 Two means (paired samples)http://moderndive.com/B-appendixB.html#two-means-paired-samples
Problem statementhttp://moderndive.com/B-appendixB.html#problem-statement-4
B.6.1 Competing hypotheseshttp://moderndive.com/B-appendixB.html#competing-hypotheses-4
B.6.2 Exploring the sample datahttp://moderndive.com/B-appendixB.html#exploring-the-sample-data-4
B.6.3 Non-traditional methodshttp://moderndive.com/B-appendixB.html#non-traditional-methods-4
B.6.4 Traditional methodshttp://moderndive.com/B-appendixB.html#traditional-methods-4
B.6.5 Comparing resultshttp://moderndive.com/B-appendixB.html#comparing-results-4
C Tips and Trickshttp://moderndive.com/C-appendixC.html
Needed packageshttp://moderndive.com/C-appendixC.html#needed-packages-2
C.1 Data wranglinghttp://moderndive.com/C-appendixC.html#data-wrangling
C.1.1 Dealing with missing valueshttp://moderndive.com/C-appendixC.html#appendix-missing-values
C.1.2 Reordering bars in a barplothttp://moderndive.com/C-appendixC.html#appendix-reordering-bars
C.1.3 Showing money on an axishttp://moderndive.com/C-appendixC.html#appendix-money-on-axis
C.1.4 Changing values inside cellshttp://moderndive.com/C-appendixC.html#appendix-changing-values
C.1.5 Converting a numerical variable to a categorical onehttp://moderndive.com/C-appendixC.html#appendix-convert-numerical-categorical
C.1.6 Computing proportionshttp://moderndive.com/C-appendixC.html#appendix-prop
C.1.7 Dealing with %, commas, and $http://moderndive.com/C-appendixC.html#appendix-commas
C.2 Interactive graphicshttp://moderndive.com/C-appendixC.html#interactive-graphics
C.2.1 Interactive linegraphshttp://moderndive.com/C-appendixC.html#interactive-linegraphs
D Learning Check Solutionshttp://moderndive.com/D-appendixD.html
D.1 Chapter 1 Solutionshttp://moderndive.com/D-appendixD.html#chapter-1-solutions
D.2 Chapter 2 Solutionshttp://moderndive.com/D-appendixD.html#chapter-2-solutions
D.3 Chapter 3 Solutionshttp://moderndive.com/D-appendixD.html#chapter-3-solutions
D.4 Chapter 4 Solutionshttp://moderndive.com/D-appendixD.html#chapter-4-solutions
D.5 Chapter 5 Solutionshttp://moderndive.com/D-appendixD.html#chapter-5-solutions
D.6 Chapter 6 Solutionshttp://moderndive.com/D-appendixD.html#chapter-6-solutions
D.7 Chapter 7 Solutionshttp://moderndive.com/D-appendixD.html#chapter-7-solutions
D.8 Chapter 8 Solutionshttp://moderndive.com/D-appendixD.html#chapter-8-solutions
D.9 Chapter 9 Solutionshttp://moderndive.com/D-appendixD.html#chapter-9-solutions
D.10 Chapter 10 Solutionshttp://moderndive.com/D-appendixD.html#chapter-10-solutions
D.11 Chapter 11 Solutionshttp://moderndive.com/D-appendixD.html#chapter-11-solutions
D.12 Appendix A2 Solutionshttp://moderndive.com/D-appendixD.html#appendix-a2-solutions
E Versions of R Packages Usedhttp://moderndive.com/E-appendixE.html
Referenceshttp://moderndive.com/references.html
Statistical Inference via Data Sciencehttp://moderndive.com/
https://moderndive.com/v2/https://moderndive.com/v2/
herehttps://moderndive.com/v2/preface.html#about-the-book
https://moderndive.com/v2/
http://moderndive.com/index.html#welcome-to-moderndive
websitehttps://moderndive.com/
GitHub repository for this sitehttps://github.com/moderndive/ModernDive_book
Amazonhttps://www.amazon.com/Statistical-Inference-via-Data-Science/dp/0367409828/
CRC Presshttps://www.routledge.com/Statistical-Inference-via-Data-Science-A-ModernDive-into-R-and-the-Tidyverse/Ismay-Kim/p/book/9780367409821?utm_source=author&utm_medium=shared_link&utm_campaign=B043134_jm1_5ll_6rm_t081_1al_statisticalinferenceviadatascienceauthorshare
http://creativecommons.org/licenses/by-nc-sa/4.0/
Chester Ismayhttps://chester.rbind.io/
Albert Y. Kimhttps://rudeboybert.rbind.io/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Licensehttp://creativecommons.org/licenses/by-nc-sa/4.0/
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