Black Friday 2024: 25+ Ways to Save on Online Learning
Applied Statistics

Applied Statistics

Kimberly Brehm via YouTube Direct link

Statistics - 7.3 The Central Limit Theorem with Proportions

35 of 72
Previous
Next

35 of 72

Statistics - 7.3 The Central Limit Theorem with Proportions

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Applied Statistics

Automatically move to the next video in the Classroom when playback concludes
  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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.