An area is when you multiply the height by the base. So, it depends on the picture and its numbers. ---------------------
For example: / 6in /
5in/ /
/ / model number: 5 in×6in=30 in
/ /
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Answer:
her score in sixth game is 270
Step-by-step explanation:
The computation of the Jasmine score in her sixth game is shown below:
Let us assume her sixth game score is x
And, the first five games are 252, 227, 210, 239, 242
And, the average score is 240
So, the following formula should be used
(252 + 227 + 210 + 239 + 242 + x) ÷ 6 = 240
252 + 227 + 210 + 239 + 242 + x = 240 × 6
252 + 227 + 210 + 239 + 242 + x = 1,440
x = 270
Hence, her score in sixth game is 270
12%= 0.12 = 12/100 = 108/900
1/10 = 90/900
2/9 = 200/900
108/900 + 90/900 + 200/900 = 398/900 used
900- 398 = 502
502/900 = 251/ 450
251/450 × 450 = 251
Karen has $251 for food
Isolate x
So xy - 2 = k
Then
xy = k + 2
x = (k+2)/y
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
