Скачать или смотреть Easy trick : types of error in statistics CSIR JRF UGC NET Type 1 Type 2 errors hypothesis testing

When statistical  hypothesis testing comes to any wrong conclusions, it may consequent into two types of errors : Type I and Type II errors .
In Type 1 error the researcher incorrectly rejects the null hypothesis H0 it is case of false positive or alpha error. In Type 2 error the researcher incorrectly accepts the null hypothesis and fails to accept true alternative hypothesis H1 making beta error or false negative.

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Previous year objective questions PYQS

Q1. Given below are two statements.

Statement I: Type I Error refers to the decision to reject the null hypothesis when it is incorrect.

Statement II: Sampling error occurs due to the violation of the principle of random sampling.

In light of the above statements, choose the correct answer from the options given below

(Labour welfare UGC NET 2022)



1.Both Statement I and Statement II are false

2.Both Statement I and Statement II are true

3.Statement I is false but Statement II is true

4.Statement I is true but Statement II is false

ANS : 1 Both false

Q2. When a person rejects a true null hypothesis in his her study and accepts the alternative hypothesis. he is likely to commit (UGC NET 2020)

A.Type 1 Error
B. Type 2 Error
C. Both Type 1 and Type 2 Error
D.Neither Type 1 or Type 2 Error

ANS : A Type 1 Error