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A type I error takes place if a given null hypothesis is rejected but is said to be true in the population such as the forecast shows it is snowing outside but actually it is isn't.

What is type 11 error?

A type II error is known to be a statistical term that tells the error that takes place when one fails not to accept a null hypothesis that is said to be really false. A type II error create a false negative.

  • It known is known also as an error of omission. Example is the forecast shows that It is not snowing but it is actually snowing.

Note that:

  • Type I error is false positive.
  • Type II error is false negative.

The power of the test shows that:

  • The Power is the likelihood of rejecting the null hypothesis even if it is false.
  • Power is the likelihood of making the right decision that is to reject the null hypothesis even if the null hypothesis is false.
  • Power is the likelihood  of not making a Type II error and others.

See full question below

Suppose you have the following null and alternative hypothesis:

H o: it is snowing.

H a: It is not snowing

(A) in the context of this problem, describe a Type-1 error

(B) Describe Type II error

(C)Describe power of the test

Learn more about hypothesis from

https://brainly.com/question/15980493

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