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
No he is not correct .
Break apart the number 8,184
You will get
8000 + 100 + 80 + 4
The numbers we are comparing are 8000 and 80
80 x 10 = 800
The number we are looking for is 8000
This makes the claim that one 8 is 10 times greater false as it is in fact 100 times as great.
Answer:
<u>(0, - 6)</u>
Step-by-step explanation:
<u>Midpoint Formula</u>
- M = (x₁ + x₂ / 2, y₁ + y₂ / 2)
<u>Solving</u>
- M = (-3 + 3 / 2, -7 - 5 / 2)
- M = (0, -12/2)
- M = <u>(0, - 6)</u>
Well first you need to change minutes to hours (240 min=4 hours, 240/60 min). Then you would just multiply 70 km by 4 hours to get 280 km.
