Hypothesis Testing is a key part of inferential statistics and a common tool of continuous improvement experts and quality engineers alike!
In the video I teach the 6 step process to hypothesis testing (any hypothesis test), and then we work through an example of testing for the population mean.
1:15 – Explaining the DISTRIBUTION OF SAMPLE MEANS (soooo important)
3:30 – The Major Assumption in Hypothesis Testing (Innocent Until Proven Guilty)
4:35 – The 6 Step Process to Hypothesis Testing
5:38 – Step #1 – Identifying the Null and Alternative Hypothesis
7:19 – Step #2 – Choosing the Significance Level of the Test
9:26 – Step #3 – Determining the Rejection Region
10:18 – Step #4 – Calculating the Test Statistics
10:51– Step #5 – Comparing the Test Statistics against the Rejection Criteria
12:04 – Step #6 – Restating the Final Decision
12:21 – WORKED EXAMPLE!!!
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