Statistics

Statistics

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Pearson's r Correlation

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39 of 86

Pearson's r Correlation

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Classroom Contents

Statistics

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  1. 1 The Basics: Descriptive and Inferential Statistics
  2. 2 Sampling Methods
  3. 3 Types of Variables
  4. 4 Independent and Dependent Variables
  5. 5 Variable Measurement Scales
  6. 6 Frequency Distributions and Cumulative Frequency Distributions
  7. 7 Bar Graphs and Pie Charts
  8. 8 Histograms and Stem & Leaf Plots
  9. 9 Arithmetic Mean for Samples and Populations
  10. 10 Central Tendency: Mean, Median, and Mode
  11. 11 Variance and Standard Deviation of a Population
  12. 12 Variance and Standard Deviation of a Sample
  13. 13 Percentiles and Quartiles
  14. 14 The Five Number Summary, Interquartile Range(IQR), and Boxplots
  15. 15 The Effects of Outliers
  16. 16 Skewness
  17. 17 The Normal Curve and Empirical Rule
  18. 18 Z-Scores (part one)
  19. 19 Z-Scores (part two)
  20. 20 Extra Z-Score Problems
  21. 21 The Basics of Probability
  22. 22 Addition Rule (Probability "or")
  23. 23 Multiplication Rule (Probability "and")
  24. 24 Permutations
  25. 25 Combinations
  26. 26 Discrete and Continuous Random Variables
  27. 27 Discrete Probability Distributions
  28. 28 Probability Histograms
  29. 29 Mean and Expected Value of Discrete Random Variables
  30. 30 Variance and Standard Deviation of Discrete Random Variables
  31. 31 The Law of Large Numbers
  32. 32 Binomial Distribution
  33. 33 Mean and Standard Deviation of Binomial Random Variables
  34. 34 Poisson Distribution/Process
  35. 35 Mean and Standard Deviation of Poisson Random Variables
  36. 36 Coordinate (Cartesian) Planes
  37. 37 Quadrants
  38. 38 Scatter Plots
  39. 39 Pearson's r Correlation
  40. 40 Hypothesis Testing with Pearson's r
  41. 41 Spearman Correlation
  42. 42 Linear Regression
  43. 43 Correlation vs. Causation
  44. 44 Parameters, Statistics, and Sampling Error
  45. 45 Distribution of the Sample Mean
  46. 46 The Central Limit Theorem
  47. 47 Sample Proportions
  48. 48 Confidence Intervals about the Mean, Population Standard Deviation Known
  49. 49 Calculating Required Sample Size to Estimate Population Mean
  50. 50 Student's t-Distribution
  51. 51 Confidence Intervals about the Mean, Population Standard Deviation Unknown
  52. 52 Confidence Intervals for Population Proportions
  53. 53 Null and Alternative Hypotheses
  54. 54 Type I and Type II Errors
  55. 55 One-Tailed and Two-Tailed Tests
  56. 56 Effect Size
  57. 57 Power
  58. 58 Statistical vs. Practical Significance
  59. 59 Independent and Dependent Samples
  60. 60 One Sample z-Test
  61. 61 One Sample z-Test for Proportions
  62. 62 One Sample t-Test
  63. 63 Independent Samples t-Test
  64. 64 Confidence Intervals for Independent Samples t-Test
  65. 65 Effect Size for Independent Samples t-Test
  66. 66 Dependent Samples t-Test
  67. 67 Confidence Intervals for Dependent Samples t-Test
  68. 68 Effect Size for Dependent Samples t-Test
  69. 69 z-Test for Proportions, Two Samples
  70. 70 Confidence Intervals for the Difference of Two Proportions
  71. 71 Introduction to ANOVA
  72. 72 One-Way ANOVA
  73. 73 Effect Size for One-Way ANOVA
  74. 74 Post-Hoc Tests for One-Way ANOVA
  75. 75 Repeated-Measures ANOVA
  76. 76 Factorial ANOVA, Two Independent Factors
  77. 77 Factorial ANOVA, Two Dependent Factors
  78. 78 Factorial ANOVA, Two Mixed Factors
  79. 79 Chi-Square Test for Goodness of Fit
  80. 80 Chi-Square Test for Independence
  81. 81 Mann-Whitney U-Test
  82. 82 Wilcoxon Signed-Ranks Test
  83. 83 The Kruskal-Wallis Test
  84. 84 The Friedman Test
  85. 85 Calculating Required Sample Size to Estimate Population Proportions
  86. 86 User Submitted Question: Alpha Levels

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