The sample proportion of returns with errors at the two tax offices will be 0.1389 and 0.0927 respectively.
<h3>How to calculate the sample proportion?</h3>
From the information, the the observed frequencies showing the number of sampled returns with errors and the number of sampled returns were given.
The sample proportion will be:
P1 = 35/(35 + 217)
= 35/252
= 0.1389
P2 = 28/(28 + 274)
= 28/302
= 0.0927
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You might want to check my work. I’m not sure if this is correct.
9p^2+8p+10
25p^2+6p+6
1 + {[(1 * 0.5) x 12] x 3}
1 + {[0.5 x 12] x 3}
1 + {6 x 3}
1 + 18
19
I'm not sure if that's a 1.000 or 1,000 so:
1,000 + {[(1,000 * .5) x 12] x 3}
1,000 + {[500 x 12] x 3}
1,000 + {6,000 x 3}
1,000 + 18,000
19,000
Answer:
a) 
b) The lowest point of 
, 
is when x = 
Step-by-step explanation:
a) To simplify the expression 
you must:
Apply Difference of Two Squares Formula: 
Apply the Pythagorean Identity 
From the Pythagorean Identity, we know that 
Therefore,
![324[-\tan ^2\left(x\right)+\sec ^2\left(x\right))]\\324[+1]\\325](https://tex.z-dn.net/?f=324%5B-%5Ctan%20%5E2%5Cleft%28x%5Cright%29%2B%5Csec%20%5E2%5Cleft%28x%5Cright%29%29%5D%5C%5C324%5B%2B1%5D%5C%5C325)
b) According with the below graph, the lowest point of , is when x =
The answer is B:40 hours. You take 200 divided by 20 to get 10 (the amount of 20 page sections he needs to read) and then multiply 10 by 4 (the speed he reads).
