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
<u>Metric: </u>
Distance: Centimeters (cm), Meters (m), Kilometers (km)
Weight: Milligrams (mg), Grams (g), Kilograms (kg)
Volume: Milliliters (mL), Liters (L)
<u>Customary: </u>
Distance: Inches (in), Feet (ft), Yards (yd), Miles (mi)
Weight: Ounces (oz), Pounds (lbs), Tons (T)
Volume: Cups (c), Pints (pt), Quarts (qt), Gallons (gal)
4x+7=-3
4x=-3-7
4x=-10
X=-10/4
X=-2.5
