3 years ago

PSYCHOLOGY - True or False

Social Studies

2 answers:

Contact [7]3 years ago

8 0

Answer:

False

Explanation:

In statistics, a type I error consists of, in a hypothesis test, rejecting the null hypothesis when it is true. In other words, a type I error is made when a result is reached that has statistical significance when in fact it happened by chance. This error is therefore also called False Positive.

Type II error is the error that occurs when the statistical analysis of the data can not reject a hypothesis, in case this hypothesis is false.

Leto [7]3 years ago

6 0

False!!! hope it helps

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