Error in hypothesis testing - Part 4

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This is a wonderful and humorous way of remembering the same.

Well, it is not my idea. I  have taken it from one  of the blogs of  Paul Ellis

In above example the null hypothesis is "Not Pregnant"

H0 : Someone is not pregnant.
H1 : He or she is pregnant.

In the first picture, The null hypothesis of not being pregnant is actually true, yet being rejected by Doctor. So he is committing a Type I error.
In second one, the null hypothesis of not being pregnant is actually false (woman is pregnant), But doctor is accepting it. Doctor is committing Type II error. 

Hope you are clear about the Type I and Type II error now.


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