Answer:
idk the answer
Step-by-step explanation:
Answer:
Type I: 1.9%, Type II: 1.6%
Step-by-step explanation:
given null hypothesis
H0=the individual has not taken steroids.
type 1 error-falsely rejecting the null hypothesis
⇒ actually the null hypothesis is true⇒the individual has not taken steroids.
but we rejected it ⇒our prediction is the individual has taken steroids.
typr II error- not rejecting null hypothesis when it has to be rejected
⇒actually null hypothesis is false ⇒the individual has taken steroids.
but we didnt reject⇒the individual has not taken steroids.
let us denote
the individual has taken steroids by 1
the individual has not taken steroids.by 0
predicted
1 0
actual 1 98.4% 1.6%
0 1.9% 98.1%
so for type 1 error
actual-0
predicted-1
therefore from above table we can see that probability of Type I error is 1.9%=0.019
so for type II error
actual-1
predicted-0
therefore from above table we can see that probability of Type I error is 1.6%=0.016
Answer:
The answer is
A 3xy^2
Step-by-step explanation:
Im assuming that in the question it is 2xy^2 and that answer choice A is 3xy^2
Answer:
4
Step-by-step explanation:
Answer:
x^3+9x^2-3x^2-3
Step-by-step explanation:
You can use a various of methods but when you use the box method you multiply each separately.
Like you would multiply x² by x, 8x by x, -3 by x (thats the first row)
x² by 1, 8x by 1, -3 by 1 ( for the second row)
Then you get those final variables and combine like terms getting the answer above
