DATA IS FOR DOING

A textbook

Course Information

  • Introductory level

  • [x] streaming video tutorials

  • [x] hours [xx] minutes of instruction

  • Created by Barton Poulson

  • Released [date]

Software Guides

  • Here

Table of Contents

PROLOGUE

  • P.01: Hello {5:02}

CH 01: DATA IS FOR DOING

  • 01.01: Data Is for Doing: Introduction {5:02}
  • 01.02: Data Analysis as Simplification and Storytelling {5:02}
  • 01.03: Actionable Insights {5:02}
  • 01.04: Actionable Insights {5:02}
  • 01.05: Return on Investment (ROI) {5:02}
  • 01.06: Data Is for Doing, Redux {5:02}

CH 02: GRAPHING DATA

  • 02.01: Graphing Data: Introduction {5:02}
  • 02.02: Levels of Measurement {5:02}
  • 02.03: Frequency Tables {5:02}
  • 02.04: Most Useful Charts {5:02}
  • 02.05: Bar Charts {5:02}
  • 02.06: Pie Charts {5:02}
  • 02.07: Dot Plots {5:02}
  • 02.08: Box Plots {5:02}
  • 02.09: Histograms {5:02}
  • 02.10: Line Charts {5:02}
  • 02.11: Scatterplots {5:02}
  • 02.12: Levels of Measurement and Graphs {5:02}

CH 03: DESCRIBING DATA

  • 03.01: Describing Data: Introduction {5:02}
  • 03.02: Central Tendency {5:02}
  • 03.03: The Mode {5:02}
  • 03.04: The Median {5:02}
  • 03.05: The Mean {5:02}
  • 03.06: Comparing Measures of Central Tendency {5:02}
  • 03.07: Measures of Variability {5:02}
  • 03.08: The Range {5:02}
  • 03.09: The Middle 50% {5:02}
  • 03.10: The Sum of Squares {5:02}
  • 03.11: The Variance {5:02}
  • 03.12: The Standard Deviation {5:02}
  • 03.13: Comparing Measures of Variability {5:02}
  • 03.14: Rescaling Data with z-Scores {5:02}
  • 03.15: Dealing with Outliers {5:02}

CH 04: WORKING WITH PROBABILITY AND SAMPLING

  • 04.01: Probability and Sampling: Introduction {5:02}
  • 04.02: Simple Probabilities {5:02}
  • 04.03: Joint Probabilities {5:02}
  • 04.04: Conditional Probabilities {5:02}
  • 04.05: Fallacies in Probability {5:02}
  • 04.06: Sampling from Populations {5:02}
  • 04.07: Variability of Random Samples {5:02}
  • 04.08: The Central Limit theorem {5:02}
  • 04.09: The Normal Distribution {5:02}
  • 04.10: z-Scores for Samples {5:02}
  • 04.11: Regression to the Mean {5:02}
  • 04.12: Effect Sizes & Cohen's d {5:02}

CH 05: WORKING WITH CONFIDENCE INTERVALS

  • 05.01: Confidence Intervals: Introduction {5:02}
  • 05.02: Confidence Levels {5:02}
  • 05.03: Accuracy and Precision {5:02}
  • 05.04: General formula and Symbols {5:02}
  • 05.05: Calculating Confidence Intervals {5:02}
  • 05.06: Interpreting Confidence Intervals {5:02}
  • 05.07: Applying Confidence Intervals {5:02}

CH 06: WORKING WITH HYPOTHESIS TESTS

  • 06.01: Hypothesis Tests: Introduction {5:02}
  • 06.02: Null and Alternative Hypotheses {5:02}
  • 06.03: Retaining or Rejecting the Null Hypothesis {5:02}
  • 06.04: Accurate and Inaccurate Conclusions {5:02}
  • 06.05: Alpha and False Positives {5:02}
  • 06.06: Beta, Power, and False Negatives {5:02}
  • 06.07: Calculating Hypothesis Tests {5:02}
  • 06.08: Interpreting Hypothesis Tests {5:02}
  • 06.09: Applying Hypothesis Tests {5:02}
  • 06.10: Choosing Hypothesis Tests {5:02}

CH 07: ANALYZING A PROPORTION

  • 07.01: Analyzing a Proportion: Introduction {5:02}
  • 07.02: Graphing a Proportion {5:02}
  • 07.03: Effect Size for a Proportion {5:02}
  • 07.04: The Z Distribution {5:02}
  • 07.05: Confidence Interval for a Proportion {5:02}
  • 07.06: Hypothesis Test for a Proportion {5:02}
  • 07.07: Interpreting Analyses for a Proportion {5:02}
  • 07.08: Applying Analyses for a Proportion {5:02}

CH 08: ANALYZING FREQUENCIES

  • 08.01: Analyzing Frequencies: Introduction {5:02}
  • 08.02: Exploring Frequency Tables {5:02}
  • 08.03: Graphing Frequencies {5:02}
  • 08.04: Effect Size for 2x2 Tables {5:02}
  • 08.05: Chi-Squared Distributions {5:02}
  • 08.06: Chi-Squared Goodness-of-Fit Test {5:02}
  • 08.07: Chi-Squared Test of Independence {5:02}
  • 08.08: Interpreting Analyses of Frequencies {5:02}
  • 08.09: Applying Analyses of Frequencies {5:02}

CH 09: ANALYZING ONE OR TWO MEANS

  • 09.01: Analyzing One or Two Means: Introduction {5:02}
  • 09.02: Graphing One or Two Means {5:02}
  • 09.03: Effect Size for One or Two Means {5:02}
  • 09.04: One-Sample z-Test {5:02}
  • 09.05: t-distributions {5:02}
  • 09.06: One-Sample t-Test {5:02}
  • 09.07: Repeated-Measures t-Test {5:02}
  • 09.08: Two-Sample t-Test {5:02}
  • 09.09: Interpreting Analyses of One or Two Means {5:02}
  • 09.10: Applying Analyses of One or Two Means {5:02}

CH 10: ANALYZING MANY MEANS

  • 10.01: Analyzing Many Means: Introduction {5:02}
  • 10.02: Graphing Many Means {5:02}
  • 10.03: Main Effects and Interactions {5:02}
  • 10.04: Effect Size for Many Means {5:02}
  • 10.05: Accumulating Error Rates {5:02}
  • 10.06: F-distributions {5:02}
  • 10.07: One-Factor ANOVA {5:02}
  • 10.08: Two-Factor ANOVA {5:02}
  • 10.09: Variations of ANOVA {5:02}
  • 10.10: Post-Hoc Tests {5:02}
  • 10.11: Interpreting Analyses for Many Means {5:02}
  • 10.12: Applying Analyses for Many Means {5:02}

CH 11: ANALYZING ASSOCIATIONS

  • 11.01: Analyzing Associations: Introduction {5:02}
  • 11.02: Graphing Associations {5:02}
  • 11.03: Outliers and Nonlinearity in Associations {5:02}
  • 11.04: Transforming Data for Associations {5:02}
  • 11.05: The Correlation Coefficient {5:02}
  • 11.06: Effect Size for Associations {5:02}
  • 11.07: Other Measures of Association {5:02}
  • 11.08: Interpreting Analyses of Associations {5:02}
  • 11.09: Applying Analyses of Associations {5:02}

CH 12: PREDICTING VALUES WITH REGRESSION ANALYSIS

  • 12.01: Regression Analysis: Introduction {5:02}
  • 12.02: Graphing Regression Analyses {5:02}
  • 12.03: Outliers and Nonlinearity in Regression {5:02}
  • 12.04: Transforming Data for Regression {5:02}
  • 12.05: Regression Coefficients {5:02}
  • 12.06: Bivariate and Multiple Regression {5:02}
  • 12.07: Effect Size for Regression {5:02}
  • 12.08: Variations of Regression Analysis {5:02}
  • 12.09: Interpreting Regression Analysis {5:02}
  • 12.10: Applying Regression Analysis {5:02}

EPILOGUE

  • E.01: Goodbye {5:02}