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Statistical Applications in Psychological Sciences with Multimedia

External

Statistical Applications in Psychological Sciences with Multimedia

Statistics
Author
Chanler Hilley
Publisher
Kennesaw State University
Source
LibreTexts
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 70 sections
  1. 01: Introduction
  2. 1.01: What are statistics and why do we study them
  3. 1.02: Types of Data and How to Collect Them
  4. 1.03: Collecting Data
  5. 1.04: Types of Research Designs
  6. 1.05: Types of Statistical Analyses
  7. 1.06: Mathematical Notation
  8. 02: Describing Data using Distributions and Graphs
  9. 2.01: Graphing Qualitative Variables
  10. 2.02: Graphing Quantitative Variables
  11. 03: Measures of Central Tendency and Spread
  12. 3.01: What is Central Tendency
  13. 3.02: Measures of Central Tendency
  14. 3.03: Spread and Variability
  15. 04: z-Scores and the Standard Normal Distribution
  16. 4.01: Normal Distributions
  17. 4.02: Z-scores
  18. 4.03: Z-scores and the Area under the Curve
  19. 05: Probability
  20. 5.01: Probability
  21. 5.02: Probability in Graphs and the Bigger Picture
  22. 06: Sampling Distributions
  23. 6.01: People Samples and Populations
  24. 6.02: Two Important Axioms
  25. 07: Introduction to Hypothesis Testing
  26. 7.01: The Logic and Purpose of Hypothesis Testing
  27. 7.02: The Null and Alternative Hypotheses
  28. 7.03: Critical Values p-Values and Significance Level
  29. 7.04: Steps of the Hypothesis Testing Process
  30. 7.05: Considerations in Hypothesis Testing
  31. 08: Introduction to t-Tests
  32. 8.01: Hypothesis Testing with t-Tests
  33. 8.02: Confidence Intervals
  34. 09: Related Samples t-Tests
  35. 9.01: Changes and Differences
  36. 9.02: Hypotheses about Changes and Differences
  37. 9.03: Related Samples t-Statistic
  38. 9.04: Example Related Samples t-Tests
  39. 10: Independent Samples t-Tests
  40. 10.01: Hypotheses about Group Mean Differences
  41. 10.02: Independent Samples t-Statistic
  42. 10.03: Movies and Mood Example
  43. 10.04: Homogeneity of Variance
  44. 11: One-Way Analysis of Variance
  45. 11.01: Sources of Variability
  46. 11.02: Hypothesis Testing with Analysis of Variance
  47. 11.03: ANOVA Post-Hoc Tests
  48. 12: Factorial and Repeated Measures ANOVA
  49. 12.01: Beyond One-Way ANOVA
  50. 12.02: Factorial Designs
  51. 12.03: Interpreting Main and Interaction Effects
  52. 12.04: Repeated-Measures ANOVA
  53. 12.05: Variables and Hypotheses in Repeated-Measures ANOVA
  54. 13: Correlation
  55. 13.01: Associations Among Variables
  56. 13.02: Pearson's r
  57. 13.03: Correlation Considerations
  58. 14: Linear Regression
  59. 14.01: Fit and Prediction
  60. 14.02: Hypothesis Testing in Regression
  61. 14.03: Multiple Regression and Other Extensions
  62. 15: Chi-square
  63. 15.01: Chi-Square Goodness of Fit Test
  64. 15.02: Chi-Square Test of Independence
  65. 16: Appendices- Statistical Tables
  66. 16.01: Standard Normal Distribution Table (z table)
  67. 16.02: t Distribution Table (t Table)
  68. 16.03: Critical Values for F (F table)
  69. 16.04: Critical Values for Pearson's r
  70. 16.05: Critical Values of Chi-Square (Chi-Square Table)