Question

When your direct reports are presenting a plan or issue to you, how do you know if the underlying assumptions are the correct ones? what actions do you take to validate assumptions or data?

Answer 1

The simple guideline for testing assumptions is: If all else is equal and A is more severe than B, test A first. The second component is the likelihood of an assumption being correct. Many people find it strange that hypotheses with a smaller chance of being true should be examined first.

Why do we test assumptions?

The acceptance tests of the analysis you have chosen allow you to determine whether you can draw the correct conclusions from the results of your analysis. You can think of assumptions as requirements that you must meet before you can perform your analysis.

What are the 3 assumptions that apply to the test?

This type of test makes the following assumptions about the data:

• Independence: The observations of one sample are independent of the observations of the other sample.
• Normality: Both samples are approximately normally distributed.

• Homogeneity of variance: The two samples have approximately the same variance.

What are the assumptions in the data analysis?

The general data assumptions are: random sampling, independence, normality, equal variance, stability, and that your measurement system is accurate and precise.

Learn more about testing assumptions;
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