A researcher decides to set the significance level to 0.10. If the null hypothesis is true, what is the probability of a Type I error

the probability of a Type I error is 0.10

Step-by-step explanation:

  Given the data in the question;

significance level ∝ = 0.10

Null H₀ hypothesis is true;

the probability of a Type I error = ?

we know that; a type 1 error is the error of rejecting a Null hypothesis when in reality, it is true. That is false positive.

Hence, our type 1 error will be;

P(rejecting null | null true ) = significance level ∝ = 0.10

Therefore, the probability of a Type I error is 0.10

36/60

36/2=18

60/2=30

18/30

18/3=6

30/3=10

6/10

6/2=3

10/2=5

your final answer would be 3/5 of an

hope this !

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step-by-step explanation:

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