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# Type I Error, Type II Error

Alternative Hypothesis

**Null hypothesis (Ho)** - It is a hypothesis that says there is no statistical significance between the two variables in the hypothesis.

It is a statement of **“No Difference”**. It is a statement we are testing in order to determine whether or not that statement is true. The observed difference is purely by chance and there is no special cause for the difference

**Alternative Hypothesis (Ha)** - Hypothesis which states that there is statistical significance between the two variables in the hypothesis. It is a statement of **“Difference”**. It states that there is real effect and the observations are affected by the effect and some pure chance variations

**Type I Error** - is rejection of Null Hypothesis when it is true. In simpler words, Type I error occurs when we conclude that there is a statistical difference when there is actually no difference. This is also known as a false positive or producer's risk

**Type II Error** - is failing to reject a Null Hypothesis when it is false or rejection of Alternate Hypothesis when it is true. In simpler words, Type II error occurs when we conclude that there is no difference when there is actually a statistical difference. This is also known as false negative or consumer's risk

An application oriented question on the topic along with responses can be seen below. The best answer was provided by Ronaaq on 14th November 2017.

## Question

## Vishwadeep Khatri

Q 44.Can Type 1 Error of one situation be considered as Type 2 Error in a different situation? In other words, can Null Hypothesis statement for one situation be the same as Alternative hypothesis for another situation?Note for website visitors- Two questions are asked every week on this platform. One on Tuesday and the other on Friday.All questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/Please visit the forum home page at https://www.benchmarksixsigma.com/forum/ to respond to the latest question open till the next Tuesday/ Friday evening 5 PM as per Indian Standard Time.The best answer is always shown at the top among responses and the author finds honorable mention in our Business Excellence dictionary at https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term.## Link to comment

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