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Премиум
  1. Урок 1. 00:01:28
    Hi! START HERE: Course overview
  2. Урок 2. 00:00:46
    Introduction to visualizing data
  3. Урок 3. 00:09:18
    One-way data
  4. Урок 4. 00:19:39
    Bar graphs and pie charts
  5. Урок 5. 00:13:59
    Line graphs and ogives
  6. Урок 6. 00:12:56
    Two-way data
  7. Урок 7. 00:14:03
    Venn diagrams
  8. Урок 8. 00:11:15
    Relative frequency tables
  9. Урок 9. 00:10:37
    Joint distributions
  10. Урок 10. 00:03:43
    Frequency tables and dot plots
  11. Урок 11. 00:13:02
    Histograms and stem-and-leaf plots
  12. Урок 12. 00:01:03
    Introduction to analyzing data
  13. Урок 13. 00:13:40
    Central tendency: mean, median and mode
  14. Урок 14. 00:11:27
    Spread: range and IQR
  15. Урок 15. 00:16:08
    Changing the data, and outliers
  16. Урок 16. 00:06:20
    Box-and-whisker plots
  17. Урок 17. 00:00:56
    Introduction to data distributions
  18. Урок 18. 00:15:17
    Mean, variance, and standard deviation
  19. Урок 19. 00:10:53
    Frequency histograms and polygons, and density curves
  20. Урок 20. 00:14:06
    Symmetric and skewed distributions and outliers
  21. Урок 21. 00:20:58
    Normal distributions and z-scores
  22. Урок 22. 00:00:47
    Introduction to probability
  23. Урок 23. 00:17:13
    Simple probability
  24. Урок 24. 00:20:31
    The addition rule, and union vs. intersection
  25. Урок 25. 00:17:41
    Independent and dependent events and conditional probability
  26. Урок 26. 00:17:08
    Bayes' theorem
  27. Урок 27. 00:01:01
    Introduction to discrete random variables
  28. Урок 28. 00:13:10
    Discrete probability
  29. Урок 29. 00:07:35
    Transforming random variables
  30. Урок 30. 00:15:34
    Combinations of random variables
  31. Урок 31. 00:10:12
    Permutations and combinations
  32. Урок 32. 00:21:18
    Binomial random variables
  33. Урок 33. 00:16:37
    Poisson distributions
  34. Урок 34. 00:13:53
    "At least" and "at most," and mean, variance, and standard deviation
  35. Урок 35. 00:10:38
    Bernoulli random variables
  36. Урок 36. 00:18:22
    Geometric random variables
  37. Урок 37. 00:01:19
    Introduction to sampling
  38. Урок 38. 00:15:57
    Types of studies
  39. Урок 39. 00:15:41
    Sampling and bias
  40. Урок 40. 00:22:14
    Sampling distribution of the sample mean
  41. Урок 41. 00:19:03
    Sampling distribution of the sample proportion
  42. Урок 42. 00:22:33
    Confidence interval for a population mean
  43. Урок 43. 00:17:13
    Confidence interval for a population proportion
  44. Урок 44. 00:01:02
    Introduction to hypothesis testing
  45. Урок 45. 00:15:26
    Inferential statistics and hypotheses
  46. Урок 46. 00:13:25
    Significance level and type I and II errors
  47. Урок 47. 00:19:51
    Test statistics for one- and two-tailed tests
  48. Урок 48. 00:12:47
    The p-value and rejecting the null
  49. Урок 49. 00:09:53
    Hypothesis testing for the population proportion
  50. Урок 50. 00:01:08
    Introduction to regression
  51. Урок 51. 00:15:52
    Scatterplots and regression
  52. Урок 52. 00:23:11
    Correlation coefficient and the residual
  53. Урок 53. 00:17:01
    Coefficient of determination and root-mean-square error
  54. Урок 54. 00:22:25
    Chi-square tests
  55. Урок 55. 00:00:25
    Wrap-up