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Hypothesis Testing Overview

In this module Ron Pereira introduces the Hypothesis Test while also explaining the relationship between the null and alternate hypothesis. Ron also breaks the sometimes confusing concept of the P-Value down to a level anyone can understand no matter their background or experience with statistics.

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  1. Inferential Statistics Overview and Sampling 6:28
  2. Sampling within Minitab 2:24
  3. Hypothesis Testing Overview 9:54
  4. Normality 9:39
  5. Creating Normality Plots in Minitab 2:55
  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 4:10
  12. Creating Run Charts in SigmaXL 1:45
  13. 1-Sample t-Test 6:30
  14. Conducting a 1-Sample t-Test in Minitab 11:55
  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 6:13
  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 2:37
  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 5:51
  24. Conducting a Paired t-Test in SigmaXL 4:37
  25. 1-Proportion Test 4:48
  26. Conducting a 1-Proportion Test in Minitab 3:26
  27. 2 Proportions Test 6:08
  28. Conducting a 2 Proportions Test in Minitab 2:47
  29. Conducting a 2 Proportions Test in SigmaXL 2:44
  30. Chi Square Test 9:49
  31. Creating a Chi Square Test in Minitab 2:19
  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 3:58
  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

Video Resources

Course Resources