1 Day
Intermediate
1 Modules · 7 Lessons
Analyze Phase 3
Skills You'll Gain
Analyze
Prerequisites: Analyze Phase 2 recommended
Move from describing data to drawing conclusions. You learn the logic of inferential statistics, test whether variances are equal, compare means with the t-test family, and reach for non-parametric tests when the normality assumption fails.
What You'll Learn:
- Introduction to inferential statistics (hypotheses, alpha/beta, confidence)
- Tests for equal variances (F-test, Bartlett's, and Levene's), parts 1 and 2
- Test of means — 1-sample, 2-sample, and paired t-tests
- Non-parametric tests (Sign, Wilcoxon, Mann-Whitney)
Who This Is For:
Green Belt candidates and analysts who need to confirm root causes with hypothesis tests.
What's Included
- Certificate of completion
- Hypothesis testing roadmap
- Minitab exercises
- 60-day resource access
Curriculum
- Introduction to Inferential Statistics
- Test for Equal Variances Part 1
- Test for Equal Variances Part 2
- Test of Means — 1-Sample t-Test
- Test of Means — 2-Sample t-Test
- Test of Means — Paired t-Test
- Test of Means — Non-Parametric Tests
$649USD
This course includes:
- Certificate of completion
- Hypothesis testing roadmap
- Minitab exercises
- 60-day resource access
Course Lessons
- 1Introduction to Inferential Statistics
- 2Test for Equal Variances Part 1
- 3Test for Equal Variances Part 2
- 4Test of Means — 1-Sample t-Test
- 5Test of Means — 2-Sample t-Test
- 6Test of Means — Paired t-Test
- 7Test of Means — Non-Parametric Tests