The probability of type II error will decrease if the level of significance of a hypothesis test is raised from 0.005 to 0.2.
<h3 /><h3>What is a type II error?</h3>
A type II error occurs when a false null hypothesis is not rejected or a true alternative hypothesis is mistakenly rejected.
It is denoted by 'β'. The power of the hypothesis is given by '1 - β'.
<h3>How the type II error is related to the significance level?</h3>
The relation between type II error and the significance level(α):
- The higher values of significance level make it easier to reject the null hypothesis. So, the probability of type II error decreases.
- The lower values of significance level make it fail to reject a false null hypothesis. So, the probability of type II error increases.
- Thus, if the significance level increases, the type II error decreases and vice-versa.
From this, it is known that when the significance level of the given hypothesis test is raised from 0.005 to 0.2, the probability of type II error will decrease.
Learn more about type II error of a hypothesis test here:
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Answer:
false
Step-by-step explanation:
point slope form : y - y1 = m( x - x1 )
the equation y = 1/2x - 5 does not follow this therefore the answer is false
the equation y = -1/2x - 5 is instead put in slope intercept form , y = mx + b
Answer:
60 servings
Step-by-step explanation:
Method 1: 2.5/10 (fraction) = 15/x (fraction)
Draw an arrow from 2.5 to 15 and write x6 (times 6)
Do the same from 10 to x
Then do 10*6 = 60
I don't know another method but hope this helps!
Answer:
164.0123 meters
Step-by-step explanation:
√(130^2 + 100^2)
the diagonal of rectangle is the hypotenus
Well there are 52 cards in a deck. There are 13 of each kind of card. So 13/52 are diamonds
