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
9514 1404 393
Answer:
arc SU ≈ 2.62 . . . units
Step-by-step explanation:
The arc length is given by ...
s = rθ
where r is the radius, and θ is the central angle in radians.
arc SU = ST·STU = 3·(50°·π/180°) = 5π/6
arc SU ≈ 2.62 . . . units
<em>Answer:</em>
<em>The value of the number should be 1 (or less I think)</em>
<em>Step-by-step explanation:</em>
<em>At most means the highest value of the sum should be 27.</em>
<em>10x + 17 = 27</em>
<em>10x = 27 - 17</em>
<em>10x = 10</em>
<em>x = 10/10</em>
<em>x = 1</em>
<em>∴</em><em>The value of the number should be 1</em>
Answer:
7x² + 4x + 32
Step-by-step explanation:
13x² + 7x +21
<u>- 6x² + 3x - 11 </u>
7x² +4x + 32
To find the slope of a line, we can use the following formula:
m-term stands for slope or gradient. The formula is useful whenever you want to find a slope of two points.
Let these be the following:
Substitute the points in formula:
Negative multiply negative always come out as positive.
Since m stands for slope, we can say that:
