Pretty sure it is nine. I hope I helped
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
First, find the length of one side of a square:
Area = side²
11 = s²
s = √(11) cm
Since there are 8 squares on each side, multiply the length of one square by 8 to get the length of 8 squares.
√(11) * 8 = 8√(11) ≈16.5 cm
Hope this helps!
You would do 6.4/1.6 because big should come first or the number will change
Answer:
the ratio of 6:5 can be expressed as 6/5
