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Inferential Statistics Overview and Sampling

In this module you'll be introduced to Inferential Statistics while also learning about two of most popular sampling techniques available to continuous improvement practitioners.

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  1. Inferential Statistics Overview and Sampling 6:28
  2. Sampling within Minitab 18 03:41
  3. Hypothesis Testing Overview 9:54
  4. Normality 9:39
  5. Creating Normality Plots in Minitab 18 04:28
  6. Creating Normality Plots in SigmaXL 3:03
  7. Central Limit Theorem 9:35
  8. The Z-Score 8:59
  9. The Z-Score in SigmaXL 6:21
  10. Creating Run Charts 5:28
  11. Creating Run Charts in Minitab 18 04:38
  12. Creating Run Charts in SigmaXL 1:45
  13. 1-Sample t-Test 6:30
  14. Conducting a 1-Sample t-Test in Minitab 18 05:35
  15. Conducting a 1-Sample t-Test in SigmaXL 2:48
  16. 2 Variances Test 8:55
  17. Conducting a 2 Variances Test in Minitab 18 10:06
  18. Conducting a 2 Variances Test in SigmaXL 3:18
  19. 2 Sample t-Test 7:43
  20. Creating a 2 Sample t-Test in Minitab 18 06:01
  21. Creating a 2 Sample t-Test in SigmaXL 2:57
  22. Paired t-Test 6:50
  23. Conducting a Paired t-Test in Minitab 18 07:20
  24. Conducting a Paired t-Test in SigmaXL 4:37
  25. 1-Proportion Test 4:48
  26. Conducting a 1-Proportion Test in Minitab 18 04:43
  27. 2 Proportions Test 6:08
  28. Conducting a 2 Proportions Test in Minitab 18 05:15
  29. Conducting a 2 Proportions Test in SigmaXL 2:44
  30. Chi Square Test 9:49
  31. Creating a Chi Square Test in Minitab 18 04:13
  32. Creating a Chi Square Test in SigmaXL 2:14
  33. 1 Sample Sign Test 4:15
  34. Conducting a 1 Sample Sign Test in Minitab 18 02:48
  35. Conducting a 1 Sample Sign Test in SigmaXL 1:40
  36. Mann-Whitney Test 5:12
  37. Conducting a Mann-Whitney Test in Minitab 3:40
  38. Conducting a Mann-Whitney Test in SigmaXL 4:59

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