Detailed Licensing
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Overview
Title: PSYC 2200: Elementary Statistics for Behavioral and Social Sciences (Oja)
Webpages: 209
Applicable Restrictions: Noncommercial
All licenses found:
- CC BY-SA 4.0: 39.7% (83 pages)
- CC BY-NC-SA 4.0: 38.8% (81 pages)
- Undeclared: 14.8% (31 pages)
- CC BY 4.0: 5.7% (12 pages)
- CC BY-NC-SA 3.0: 0.5% (1 page)
- Public Domain: 0.5% (1 page)
By Page
- PSYC 2200: Elementary Statistics for Behavioral and Social Sciences (Oja) — CC BY-SA 4.0
- Front Matter — Undeclared
- Unit 1: Description — Undeclared
- 1: Introduction to Behavioral Statistics — Undeclared
- 1.1: Why are you taking this course? — CC BY-SA 4.0
- 1.2: What is a statistic? What is a statistical analysis? — CC BY-SA 4.0
- 1.3: The Scientific Method — CC BY-SA 4.0
- 1.4: Types of Data and How to Measure Them — CC BY-NC-SA 4.0
- 1.5: Populations and Samples — CC BY-SA 4.0
- 1.6: "Research shows that..." — CC BY-SA 4.0
- 1.7: Learning (Statistics) — CC BY-SA 4.0
- 2: What Do Data Look Like? (Graphs) — Undeclared
- 2.1: Introduction to Looking at Data (This is what too many numbers looks like) — CC BY-SA 4.0
- 2.2: Frequency Tables — CC BY-NC-SA 4.0
- 2.3: APA Style Tables — CC BY-SA 4.0
- 2.4: Graphing Qualitative Variables- Bar Graphs — CC BY-NC-SA 4.0
- 2.5: Graphing Qualitative Variables- Pie Charts — CC BY-NC-SA 4.0
- 2.6: Graphing Quantitative Variables — CC BY-NC-SA 4.0
- 2.7: Skew and Kurtosis — CC BY-SA 4.0
- 2.8: Graphing Quantitative Data- Line Graphs — CC BY-SA 4.0
- 2.9: Graphing Quantitative Data- Histograms — CC BY-SA 4.0
- 2.10: Graphing Quantitative Data- Boxplots — CC BY-SA 4.0
- 2.11: Graphing Quantitative Data- Scatterplots — CC BY-NC-SA 4.0
- 2.12: Summary and Some Honesty — CC BY-NC-SA 4.0
- 2.13: APA Style Charts — CC BY-SA 4.0
- 2.14: Describing Data using Distributions and Graphs Exercises — CC BY-NC-SA 4.0
- 3: Descriptive Statistics — Undeclared
- 3.1: Introduction to Descriptive Statistics — CC BY-SA 4.0
- 3.2: Math Refresher — CC BY-NC-SA 4.0
- 3.3: What is Central Tendency? — CC BY-NC-SA 4.0
- 3.3.1: Introduction to Measures of Central Tendency — CC BY-SA 4.0
- 3.3.2: Measures of Central Tendency- Mode — CC BY-SA 4.0
- 3.3.3: Measures of Central Tendency- Median — CC BY-SA 4.0
- 3.3.4: Measures of Central Tendency- Mean — CC BY-SA 4.0
- 3.3.5: Summary of Measures of Central Tendency — CC BY-NC-SA 4.0
- 3.4: Interpreting All Three Measures of Central Tendency — CC BY-SA 4.0
- 3.5: Introduction to Measures of Variability — CC BY-NC-SA 4.0
- 3.6: Introduction to Standard Deviations and Calculations — CC BY-NC-SA 4.0
- 3.7: Practice SD Formula and Interpretation — CC BY 4.0
- 3.8: Interpreting Standard Deviations — CC BY-NC-SA 4.0
- 3.9: Putting It All Together- SD and 3 M's — CC BY 4.0
- 3.10: Measures of Central Tendency and Variability Exercises — CC BY-NC-SA 4.0
- 4: Distributions — Undeclared
- 4.1: Introduction to Distributions — CC BY-SA 4.0
- 4.2: Introduction to Probability — CC BY-NC-SA 4.0
- 4.3: The Binomial Distribution — CC BY-SA 4.0
- 4.4: The Law of Large Numbers — CC BY-SA 4.0
- 4.5: Normal Distributions and Probability Distributions — CC BY-NC-SA 4.0
- 4.6: Sampling Distributions and the Central Limit Theorem — CC BY-SA 4.0
- 4.7: Putting it All Together — CC BY-SA 4.0
- 4.8: Summary- The Bigger Picture — CC BY-NC-SA 4.0
- 5: Using z — Undeclared
- 6: APA Style — CC BY-NC-SA 4.0
- 1: Introduction to Behavioral Statistics — Undeclared
- Unit 2: Mean Differences — Undeclared
- 7: Inferential Statistics and Hypothesis Testing — Undeclared
- 7.1: Growth Mindset — CC BY-SA 4.0
- 7.2: Samples and Populations Refresher — CC BY-SA 4.0
- 7.3: The Research Hypothesis and the Null Hypothesis — CC BY-NC-SA 4.0
- 7.4: Null Hypothesis Significance Testing — CC BY-SA 4.0
- 7.5: Critical Values, p-values, and Significance — CC BY-NC-SA 4.0
- 7.6: Steps of the Hypothesis Testing Process — CC BY-NC-SA 4.0
- 7.7: The Two Errors in Null Hypothesis Significance Testing — CC BY-SA 4.0
- 8: One Sample t-test — Undeclared
- 8.1: Predicting a Population Mean — CC BY-SA 4.0
- 8.2: Introduction to One-Sample t-tests — CC BY-NC-SA 4.0
- 8.3: One-Sample t-test Calculations — CC BY-NC-SA 4.0
- 8.4: Reporting Results — CC BY-SA 4.0
- 8.5: Confidence Intervals — CC BY-NC-SA 4.0
- 8.6: One-Sample t-tests and CIs Exercises — CC BY-NC-SA 4.0
- 9: Independent Samples t-test — Undeclared
- 9.1: Introduction to Independent Samples t-test — CC BY-NC-SA 4.0
- 9.2: Independent Samples t-test Equation — CC BY-NC-SA 4.0
- 9.3: Hypotheses with Two Samples — CC BY-NC-SA 4.0
- 9.4: Practice! Movies and Mood — CC BY-NC-SA 4.0
- 9.5: When to NOT use the Independent Samples t-test — CC BY-NC-SA 4.0
- 9.6: Two Independent Samples Exercises — CC BY-NC-SA 4.0
- 10: Dependent Samples t-test — Undeclared
- 10.1: Introduction to Dependent Samples — CC BY-NC-SA 4.0
- 10.2: Dependent Sample t-test Calculations — CC BY-NC-SA 4.0
- 10.3: Practice! Job Satisfaction — CC BY-NC-SA 4.0
- 10.4: Non-Parametric Analysis of Dependent Samples — CC BY-SA 4.0
- 10.5: Choosing Which Statistic- t-test Edition — CC BY-SA 4.0
- 10.6: Dependent t-test Exercises — CC BY-NC-SA 4.0
- 11: BG ANOVA — Undeclared
- 11.1: Why ANOVA? — CC BY-NC-SA 4.0
- 11.2: Introduction to ANOVA's Sum of Squares — CC BY-NC-SA 4.0
- 11.3: Hypotheses in ANOVA — CC BY-NC-SA 4.0
- 11.4: Practice with Job Applicants — CC BY-NC-SA 4.0
- 11.5: Introduction to Pairwise Comparisons — CC BY-SA 4.0
- 11.6: Practice on Mindset Data — CC BY-SA 4.0
- 11.7: On the Relationship Between ANOVA and the Student t Test — CC BY-SA 4.0
- 11.8: Non-Parametric Analysis Between Multiple Groups — CC BY 4.0
- 11.9: BG ANOVA Practice Exercises — CC BY-NC-SA 4.0
- 12: RM ANOVA — Undeclared
- 13: Factorial ANOVA (Two-Way) — CC BY-SA 4.0
- 13.1: Introduction to Factorial Designs — CC BY-SA 4.0
- 13.2: Introduction to Main Effects and Interactions — CC BY-SA 4.0
- 13.2.1: Example with Main Effects and Interactions — CC BY-SA 4.0
- 13.2.2: Graphing Main Effects and Interactions — CC BY-SA 4.0
- 13.2.3: Interpreting Main Effects and Interactions in Graphs — CC BY-SA 4.0
- 13.2.4: Interpreting Interactions- Do Main Effects Matter? — CC BY-SA 4.0
- 13.2.5: Interpreting Beyond 2x2 in Graphs — CC BY-SA 4.0
- 13.3: Two-Way ANOVA Summary Table — CC BY-SA 4.0
- 13.4: When Should You Conduct Post-Hoc Pairwise Comparisons? — CC BY-SA 4.0
- 13.5: Practice with a 2x2 Factorial Design- Attention — CC BY-SA 4.0
- 13.6: Choosing the Correct Analysis- Mean Comparison Edition — CC BY-SA 4.0
- 7: Inferential Statistics and Hypothesis Testing — Undeclared
- Unit 3: Relationships — Undeclared
- 14: Correlations — Undeclared
- 14.1: Refresh to Prepare — CC BY-SA 4.0
- 14.2: What do Two Quantitative Variables Look Like? — CC BY-SA 4.0
- 14.3: Correlation versus Causation — CC BY-NC-SA 4.0
- 14.4: Strength, Direction, and Linearity — CC BY-SA 4.0
- 14.5: Hypotheses — CC BY 4.0
- 14.6: Correlation Formula- Covariance Divided by Variability — CC BY-NC-SA 4.0
- 14.7: Practice on Anxiety and Depression — CC BY-NC-SA 4.0
- 14.8: Alternatives to Pearson's Correlation — CC BY-SA 4.0
- 14.9: Final Considerations — CC BY-NC-SA 4.0
- 14.10: Correlation Exercises — CC BY-NC-SA 4.0
- 15: Regression — Undeclared
- 15.1: Introduction- Line of Best Fit — CC BY-NC-SA 4.0
- 15.2: Regression Line Equation — CC BY-NC-SA 4.0
- 15.3: Hypothesis Testing- Slope to ANOVAs — CC BY-NC-SA 4.0
- 15.4: Practice Regression of Health and Happiness — CC BY-NC-SA 4.0
- 15.5: Multiple Regression — CC BY-NC-SA 4.0
- 15.6: Linear Regression Exercises — CC BY-NC-SA 4.0
- 16: Chi-Square — Undeclared
- 16.1: Introduction to Chi-Square — CC BY-NC-SA 4.0
- 16.2: Introduction to Goodness-of-Fit Chi-Square — CC BY-NC-SA 4.0
- 16.3: Goodness of Fit χ² Formula — CC BY-NC-SA 4.0
- 16.4: Practice Goodness of Fit- Pineapple on Pizza — CC BY-NC-SA 4.0
- 16.5: Introduction to Test of Independence — CC BY-NC-SA 4.0
- 16.6: Practice Chi-Square Test of Independence- College Sports — CC BY-NC-SA 4.0
- 16.7: RM Chi-Square- The McNemar Test — CC BY-SA 4.0
- 16.8: Choosing the Correct Test- Chi-Square Edition — CC BY 4.0
- 16.9: Chi-Square Exercises — CC BY-NC-SA 4.0
- 14: Correlations — Undeclared
- Unit 4: Wrap Up — Undeclared
- Back Matter — Undeclared