Answer: The margin of error tells that the proportion of the a random sample women said they do not get enough time for themselves can be differ by ±3% than the estimated proportion (47%)
Step-by-step explanation:
Given : A New York Times poll found that 47% of the women said they do not get enough time for themselves.
The poll announced a margin of error of ± 3% for 95% confidence in its conclusions.
A margin of error gives that value of percentage error of in results by which any random value will differ from the real population value.
Here the margin of error tells that the proportion of the a random sample women said they do not get enough time for themselves can be differ by ±3% than the estimated proportion (47%).
The problem can be represented by the the exponential growth formula which is :

Where: t ⇒ time , A ⇒ initial amount , r ⇒ rate of increase
P(t) ⇒ predicted amount at the end of t.
For the given problem:
initial amount = A = $278,640
<span>predicted increase in value per year = 4% =0.04
</span>
<span>∴ r = 1 + 0.04 = 1.04
</span>
<span>for t = 18 years
</span>
∴

<span />
Rounding to the nearest dollar ⇒ ∴ P(t) = <span>564,474
</span>
So, the predicted value of David's home in 18 years = $564,474
So, The correct option is <span>
$564,474</span>
Answer:
0.78 euros per dollar
Step-by-step explanation:
If 35 euros=$45.00, then every dollar that he has is equivalent to (35/45) euros=35/45=0.78 euros per dollar
(I found the answer from Nonicorp1 on Brainly)
Answer:
I believe it is 91 centimetres.
Step-by-step explanation:
5096/56=91.
A method to know the probability is to list down all of the possible combinations that would present an outcome of not more than 5. This is listed below:
1 + 4
4 + 1
2 + 3
3 + 2
1 + 1
2 + 2
1 + 2
2 + 1
1 + 3
3 + 1
There are 10 possible outcomes. But among these, the only ones that can have a sum more than 3 are:
1 + 4
4 + 1
2 + 3
<span>3 + 2
</span>2 <span>+ 2
</span>1 + 3
3 + 1
There are only 7 possible outcomes that meet both requirements. Given that there are 7 outcomes within the total of 10, the probability would be 7/10, or 0.7.