The answer is
Z(2xy-3y+4x)
Hope this helps
For this case we have that the distance traveled is given by:
d = (mpg) * (gallons)
Substituting values we have:
d = (26) * (15.3)
d = 397.8 miles
Therefore, the number of miles that Ron's car can travel is 397.8 miles.
Answer:
Ron can travel about:
d = 397.8 miles
Hello there!
Knowing that you have a swimsuit of an original price of $20.30 that is discounted 65%, you can find the price of the swimsuit after the discount by first finding 65% of your original price.
To find 65% of your original price, multiply 65% to 20.30:
0.65*20.30
=13.195
Now, subtract this amount from your original price:
20.30-13.195
=7.105
Finally, round to the nearest cent to get $7.11 dollars as your final answer.
Hope this helps and have a marvelous day! :)
The annual FICA (Federal Insurance Contributions Act) tax is composed of two parts: Social Security and Medicare Taxes. On the employee's side, he/she has to shoulder 6.2% of the annual salary for the Social Security Tax, and 1.45% of the annual salary for the Medicare Tax. So in total, FICA takes 7.65% of your annual salary as tax. To calculate the FICA tax to be paid, this is shown below:
$38,480 x 7.65% = $2943.72
Therefore, for an annual salary of $38,480, $2943.72 goes into FICA tax payment.
The formula for a binomial probability function is the one that is attached to the image.
Where:
n = number of trials.
x = number of successes from which you want to know the probability.
p = probability of obtaining success.
In this case, success is defined as obtaining a result of type a.
We look for the probability of obtaining 4 results of type a.
So:
n = 10.
x = 4.
p = 0.70.
In this way:
P (x = 4) = 0.0368. If we now look for the probability of obtaining 5 results of type b.
So:
n = 10.
x = 5.
p = 0.20.
P (x = 5) = 0.0264.
Finally, the probability of obtaining 1 result of type c.
n = 10.
x = 1.
p = 0.1.
P (x = 1) = 0.387. Finally, the probability of obtaining 4 results of type a, 5 of type b and 1 of type c is:
P (4a + 5b + 1c) = 0.0368 * 0.0264 * 0.387.
P = 0.0376%