# If the p value is ˂ alpha (α), reject the Null

To do this same problem using the **attained significance approach**we would ask "What is the probability that if **H _{}** is truewe would find a random sample of 17 items with a sample mean that is

Here is a third example, one given with even less discussion.

## If the p value is ˃ alpha (α), fail to reject the Null

### Null Hypothesis - Six Sigma Terminology

If you are only willing to make a **Type I** error**1%** of the time, then you want to find a value for the sample meanthat is so extreme that only 1% of the **Student's t** distributionof 36-item sample means will be that or more extremely different frommy hypothesis value of 134.

### as the line where they reject the null in hypothesis testing.

There is a claim, a hypothesis, that the **population mean** is**μ = 14.2**, but we believe, for whatever reason, thatthe **true population mean is higher than that**.

## Errors in Hypothesis Testing | Six Sigma Study Guide

In the null hypothesis will be rejected if the is below a threshold probability level, known as the alpha value. It is possible that the test will give misleading results and the wrong conclusion will be drawn. There are two types of error:

## ASQ Six Sigma Green Belt Errors in Hypothesis Testing ..

The probability of rejecting the null hypothesis when it is false. The Power varies with the amount that the process varies from the target and so is specified for a particular value of the error.

## Hypothesis Testing Terminology | Six Sigma Study Guide

Remember you can conduct a hypothesis test by selecting a low % for alpha and be correct within the % that you have selected. For example, let’s say that I want to accurate to within 1% when I do a hypothesis test. This means that I will have only a 1% chance of making an error. I would have only a 1% chance of making a type I error (i.e. to reject the null when it is true). This approach is very accurate.