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Applied Statistics

Applied Statistics

Kimberly Brehm via YouTube Direct link

Statistics - 5.4.1 The Hypergeometric Distribution

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Statistics - 5.4.1 The Hypergeometric Distribution

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Classroom Contents

Applied Statistics

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  1. 1 Statistics - 1.1 Intro to Statistics
  2. 2 Statistics - 1.2 Classifying Data
  3. 3 Statistics - 1.3.1 Introduction to Statistical Studies
  4. 4 Statistics - 1.3.2 Observational Studies
  5. 5 Statistics - 1.3.3 Experiments
  6. 6 Statistics - 1.4 Critiquing a Published Study
  7. 7 Statistics - 2.1 Frequency Distributions
  8. 8 Statistics - 2.2.1 Displaying Qualitative Data
  9. 9 Statistics - 2.2.2 Displaying Quantitative Data
  10. 10 Statistics - 2.3 Analyzing Graphs
  11. 11 Statistics - 3.1 Measures of Center
  12. 12 Statistics - 3.2.1 Measures of Spread
  13. 13 Statistics - 3.2.2 Empirical Rule and Chebyshev's Theorem
  14. 14 Statistics - 3.3.1 Measures of Relative Position
  15. 15 Statistics - 3.3.2 Box Plots and the 5-Number Summary
  16. 16 Statistics - 3.3.3 Intro to Z-Scores
  17. 17 Statistics - 4.1 Intro to Probability
  18. 18 Statistics - 4.2 Addition Rule for Probability
  19. 19 Statistics - 4.3 Multiplication Rule for Probability
  20. 20 Statistics - 4.4 Permutations and Combinations
  21. 21 Statistics - 4.5 Probability and Counting Practice
  22. 22 Statistics - 5.1.1 Expected Value of Discrete Probability Distributions
  23. 23 Statistics - 5.1.2 Variance and SD of Discrete Probability Distributions
  24. 24 Statistics - 5.2 The Binomial Distribution
  25. 25 Statistics - 5.3 The Poisson Distribution
  26. 26 Statistics - 5.4.1 The Hypergeometric Distribution
  27. 27 Statistics - 5.4.2 Binomial, Poisson or Hypergeometric?
  28. 28 Statistics - 6.1 The Normal Distribution and Z-Scores
  29. 29 Statistics - 6.2 Area Under a Normal Distribution
  30. 30 Statistics - 6.3 Probabilities in a Normal Distribution
  31. 31 Statistics - 6.4 Z-Scores in Reverse
  32. 32 Statistics - 6.5 Approximating a Binomial Distribution With a Normal Distribution
  33. 33 Statistics - 7.1 The Central Limit Theorem
  34. 34 Statistics - 7.2 The Central Limit Theorem with Means
  35. 35 Statistics - 7.3 The Central Limit Theorem with Proportions
  36. 36 Statistics - 8.1.1 An Introduction to Confidence Intervals
  37. 37 Statistics - 8.1.2 Estimating Population Means (𝜎 known)
  38. 38 Statistics - 8.1.3 Calculations With Estimating Population Means - 𝜎 known
  39. 39 Statistics - 8.2 Student's t-Distribution
  40. 40 Statistics - 8.3 Estimating Population Means (𝜎 Unknown)
  41. 41 Statistics - 8.4.1 Estimating Population Proportions
  42. 42 Statistics - 8.4.2 Calculations With Estimating Population Proportions
  43. 43 Statistics - 9.1 Comparing Two Population Means (𝜎 Known)
  44. 44 Statistics - 9.2.1 Comparing Two Population Means (𝜎 Unknown, Unequal Variances)
  45. 45 Statistics - 9.2.2 Comparing Two Population Means (𝜎 Unknown, Equal Variances)
  46. 46 Statistics - 9.3 Comparing Two Population Means (𝜎 Unknown, Dependent/Paired)
  47. 47 Statistics - 9.4 Comparing Two Population Proportions
  48. 48 Statistics - 10.1.1 Introduction to Hypothesis Testing
  49. 49 Statistics - 10.1.2 Writing Hypotheses
  50. 50 Statistics - 10.1.3 Interpreting Conclusions to Hypothesis Tests
  51. 51 Statistics - 10.1.4 Errors in Hypothesis Testing
  52. 52 Statistics - 10.2.1 Hypothesis Testing for Population Means (σ known) - Right-Tailed
  53. 53 Statistics - 10.2.2 Hypothesis Testing for Population Means (σ known) - Left-Tailed
  54. 54 Statistics - 10.2.3 Hypothesis Testing for Population Means (σ known) - 2-Tailed
  55. 55 Statistics - 10.3.1 Hypothesis Testing for Population Means (σ unknown) - 1-Tailed
  56. 56 Statistics - 10.3.2 Hypothesis Testing for Population Means (σ unknown) - 2-Tailed
  57. 57 Statistics - 10.4.1 Hypothesis Testing for Population Proportions - 1-Tailed
  58. 58 Statistics - 10.4.2 Hypothesis Testing for Population Proportions - 2-Tailed
  59. 59 Statistics - 11.1.1 Hypothesis Testing for 2 Sample Means (σ known) - 1-Tailed
  60. 60 Statistics - 11.1.2 Hypothesis Testing for 2 Sample Means (σ known) - 2-Tailed
  61. 61 Statistics - 11.2.1 Hypothesis Testing for 2 Sample Means (σ unknown) - Unequal Variances
  62. 62 Statistics - 11.2.2 Hypothesis Testing for 2 Sample Means (σ unknown) - Equal Variances
  63. 63 Statistics - 11.3 Hypothesis Testing for 2 Sample Means - Paired
  64. 64 Statistics - 11.4 Hypothesis Testing for 2 Sample Proportions
  65. 65 Statistics - 12.1.1 Scatter Plots and Correlation
  66. 66 Statistics - 12.1.2 Determining Statistical Significance for the Pearson Correlation Coefficient
  67. 67 Statistics - 12.2.1 The Least Squares Regression Line (LSRL)
  68. 68 Statistics - 12.2.2 Predicting With and Interpreting Values of the LSRL
  69. 69 Statistics - 12.2.3 Creating and Analyzing a Linear Regression Model
  70. 70 Statistics - 12.3.1 Prediction Intervals for Linear Regression
  71. 71 Statistics - 12.3.2 Confidence Intervals for 𝛽0 and 𝛽1
  72. 72 Statistics - 12.4 Multiple Regression

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