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

81 seats

step-by-step explanation:

if you multiply 0.65 times 125 then you get 81.5 seats. well since you can't have half of a seat you have to round down and get 81 seats in the no children zones. that leave 44 seats outside of the no children zone.