Hypothesis Testing (2022 version)
Creating an Hypothesis
Concept of Hypothesis Testing Free
Video time: 04m 56s
Hypothesis Test Process
Effective hypothesis testing is a disciplined process. From writing the process, to designing the study or experiments, and finally analyzing the data, there are proven best practices that should be applied. This lesson presents and explains the hypothesis testing process as used in Lean Six Sigma.
Video time: 05m 48s
Hypothesis Tests Free
Video time: 07m 42s
Statistical Analysis Principles for Hypothesis Testing
Video time: 06m 18s
Video time: 07m 03s
Alpha and Beta Risk
Video time: 06m 37s
The P Value
Video time: 05m 25s
Normal Versus Non-Normal
One of the most important criteria for selecting an hypothesis test is based upon whether the data is normal or non-normal. The normality question does not prove or disprove the hypothesis, rather it steers the nature of the analysis. This lesson reviews this concept and its application in hypothesis testing.
Video time: 07m 32s
Video time: 05m 52s
Simple Linear Regression
Simple linear regression analysis creates an equation that correlates two factors. This equation both assists in understanding problems, and it can also be used to manage the problem or process going forward. This lesson shows how to calculate this line with the help of either Excel or Minitab.
Video time: 06m 01s
A statistical analysis or test creates a mathematical model to fit the data in the sample. The real world data seldom precisely fits the model. The differences between the model and the actual data is known as residuals. The residuals in any analysis, whether a regression analysis or another statistical analysis, will indicate how well the statistical model fits the data. When the residuals indicate a bad fit, a different analytical approach should be selected. This lesson explains how to read residual graphs and analysis.
Video time: 06m 19s
Multiple Linear Regression Free
Video time: 04m 59s
Video time: 06m 31s
Applying Statistical Hypothesis Tests
Test of Proportions
The One-Sample and Two-Sample Test of Proportions are used with discrete data. These tests determine whether the percentage of a particular attribute being studied is similar to or different from the selected target value. These tests are illustrated using both Excel and Minitab.
Video time: 06m 25s
Chi Square Test
Video time: 06m 19s
Many of the hypothesis test approaches will change depending upon whether the continuous data has equal variances or unequal variances between data sets. Therefore, the F Test or Bartlett's Test must be completed to determine if variances are equal. The F test can be done with either Excel or Minitab. The Bartlett's Test can only be done using Minitab. This lesson explains these tests and how to read the statistic.
Video time: 06m 11s
Video time: 06m 39s
One-Sample Sign / One-Sample Wilcoxon
Video time: 05m 54s
Levene's Test & Mann-Whitney Test
Video time: 04m 19s
Mood's Median, Kruskal-Wallis, and Friedman
Video time: 06m 57s
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