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:
i h0nestly dont know bro i wish i could help sorry .
Answer:
x < 3
Step-by-step explanation:
x + 9 < 12
Subtract 9 from both sides;
x < 3
Answer:
hope this helps
Step-by-step explanation:
Point form ( -1,1)
Equation Form---x=1,y=1
Answer:241
Step-by-step explanation:
Reduction in cholesterol level = 14%
Original level = 280
To find the approximate cholesterol level now , all we need do is to reduce 280 by 14% , that is we will find 86% of 280.
⇒ 86/100 x 280
= 0.86 x 280
= 240.8
≈ 241
Therefore : the approximate cholesterol level now = 241
