PSYC 330: Statistics for the Behavioral Sciences with Dr. DeSouza

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Statistics
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CC BY-NC-SA 4.0, as LibreTexts states it. Non-commercial use only.
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Tweens profiles and older, judged from its title and subjects

Contents

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  1. Front Matter
  2. TitlePage
  3. InfoPage
  4. Table of Contents
  5. Licensing
  6. Foreword
  7. 1: What are Statistics?
  8. 1.1: What are statistics?
  9. 1.2: Why do we study statistics?
  10. 2: Types of Data and How to Collect Them (by Dr. Alisa Beyer)
  11. 2.1: Types of Data and How to Collect Them
  12. 2.2: Who are your participants? Who is your population?
  13. 2.3: Representative Sample
  14. 2.4: Type of Research Designs
  15. 2.5: Working with Data
  16. 2.6: Levels of Measurement
  17. 2.7: What level of measurement is used for psychological variables?
  18. 2.8: Reliability, Validity, and Results
  19. 2.9: Types of Statistical Analyses
  20. 2.10: Mathematical Notation
  21. 2.E: Exercises
  22. 3: Measures of Central Tendency and Spread
  23. 3.1: What is Central Tendency?
  24. 3.2: Measures of Central Tendency
  25. 3.3: Spread and Variability
  26. 3.E: Measures of Central Tendency and Spread (Exercises)
  27. 4: Describing Data using Distributions and Graphs
  28. 4.1: Graphing Qualitative Variables
  29. 4.2: Graphing Quantitative Variables
  30. 4.E: Describing Data using Distributions and Graphs (Exercises)
  31. 5: Z-scores and the Standard Normal Distribution
  32. 5.1: Normal Distributions
  33. 5.2: Z-scores
  34. 5.3: Z-scores and the Area under the Curve
  35. 5.E: Z-scores and the Standard Normal Distribution (Exercises)
  36. 6: Probability
  37. 6.1: What is Probability
  38. 6.2: Probability in Graphs and Distributions
  39. 6.3: The Bigger Picture
  40. 6.E: Probability (Exercises)
  41. 7: Sampling Distributions
  42. 7.1: People, Samples, and Populations
  43. 7.2: The Sampling Distribution of Sample Means
  44. 7.3: Sampling Distribution, Probability and Inference
  45. 7.E: Sampling Distributions (Exercises)
  46. 8: Introduction to Hypothesis Testing
  47. 8.1: Logic and Purpose of Hypothesis Testing
  48. 8.2: The Probability Value
  49. 8.3: The Null Hypothesis
  50. 8.4: The Alternative Hypothesis
  51. 8.5: Critical values, p-values, and significance level
  52. 8.6: Steps of the Hypothesis Testing Process
  53. 8.7: Movie Popcorn
  54. 8.8: Effect Size
  55. 8.9: Office Temperature
  56. 8.10: Different Significance Level
  57. 8.11: Other Considerations in Hypothesis Testing
  58. 8.E: Introduction to Hypothesis Testing (Exercises)
  59. 9: Introduction to t-tests
  60. 9.1: The t-statistic
  61. 9.2: Hypothesis Testing with t
  62. 9.3: Confidence Intervals
  63. 9.E: Introduction to t-tests (Exercises)
  64. 10: Repeated Measures
  65. 10.1: Change and Differences
  66. 10.2: Hypotheses of Change and Differences
  67. 10.3: Increasing Satisfaction at Work
  68. 10.4: Bad Press
  69. 10.E: Repeated Measures (Exercises)
  70. 11: Independent Samples
  71. 11.1: Difference of Means
  72. 11.2: Research Questions about Independent Means
  73. 11.3: Hypotheses and Decision Criteria
  74. 11.4: Independent Samples t-statistic
  75. 11.5: Standard Error and Pooled Variance
  76. 11.6: Movies and Mood
  77. 11.7: Effect Sizes and Confidence Intervals
  78. 11.8: Homogeneity of Variance
  79. 11.E: Independent Samples (Exercises)
  80. 12: Analysis of Variance
  81. 12.1: Observing and Interpreting Variability
  82. 12.2: Sources of Variance
  83. 12.3: ANOVA Table
  84. 12.4: ANOVA and Type I Error
  85. 12.5: Hypotheses in ANOVA
  86. 12.6: Scores on Job Application Tests
  87. 12.7: Variance Explained
  88. 12.8: Post Hoc Tests
  89. 12.9: Other ANOVA Designs
  90. 12.10: Analysis of Variance (Exercises)
  91. 13: Two-Factor ANOVAs (by Dr. Alisa Beyer)
  92. 13.1: Two-Factor ANOVAs
  93. 13.2: Conducting a Two Factor ANOVA
  94. 13.3: Graphing the Results of Factorial Experiments
  95. 13.E: Exercises
  96. 14: Correlations
  97. 14.1: Variability and Covariance
  98. 14.2: Visualizing Relations
  99. 14.3: Three Characteristics
  100. 14.4: Pearson’s r
  101. 14.5: Anxiety and Depression
  102. 14.6: Effect Size
  103. 14.7: Correlation versus Causation
  104. 14.8: Final Considerations
  105. 14.E: Correlations (Exercises)
  106. 15: Chi-square
  107. 15.1: Categories and Frequency Tables
  108. 15.2: Goodness-of-Fit
  109. 15.3: χ² Statistic
  110. 15.4: Pineapple on Pizza
  111. 15.5: Contingency Tables for Two Variables
  112. 15.6: Test for Independence
  113. 15.7: College Sports
  114. 15.E: Chi-square (Exercises)
  115. 16: Appendix A- Statistical Tables
  116. 16.1: F-distribution (ANOVA distribution) table
  117. 16.2: z-table (aka Standard Normal Distribution Table)
  118. 16.3: t Distribution Table
  119. Back Matter
  120. Detailed Licensing
  121. Detailed Licensing