Type I and Type II Error

Type I and Type II Error

Statistical Errors

We have

existing hypothesis which is the null hypothesis and

the alternative hypothesis.

If null hypothesis is true, we do not reject it, we can keep it.

Suppose you accidentally reject the null hypothesis that is true,

then, you have committed the Type I Error.

If null hypothesis is false, we should reject it, we can’t continue to use it.

Suppose you forget to reject the null hypothesis that is false,

then, you have committed the Type II Error.

Null Hypothesis is TRUE

Don’t reject the Null Hypothesis

You better Reject the Null Hypothesis

Null Hypothesis is FALSE

If you reject the Null Hypothesis though it is true

TYPE I ERROR is committed

If you forget to reject the Null Hypothesis though it is false

TYPE II ERROR is committed

Null Hypothesis is TRUE

Alternative Hypothesis is FALSE

Reject the alternative hypothesis

If you reject the Null Hypothesis though it is true

TYPE I ERROR is committed

Null Hypothesis is FALSE

Alternative Hypothesis is TRUE

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Do not reject the alternative hypothesis

TYPE II ERROR is committed