6%=0.06
if you want to know how much he paid for the sales taxes you multiply 7.5 by 0.06
7.5 . 0.06= 0.45
7.5+0.45=7.95
8>7.95
Jay have enough money to buy the book
Answer:
5009.206
Step-by-step explanation:
<u>The answer is </u><em><u>5009.206</u></em>. We see that the first portion of this question asks, "(5×1,000)+(9×1)". 5x1000 is 5000. 9x1 is 9. 5000+9= 5009. The second portion of this question asks for the numbers that go after the decimal. 2x1/10 is 2/10. 6x1/1000 is 6/1000. The decimal place stands for one. So we do .206. If the decimal stands for ones that means in this case the 2 is in the tenths place (like it should be since the question asks for 2/10) and the 6 is in the 1000 place (like it should be since the question asks for 6/1000). We add this up together and our answer is 5009.206. Hope this explanation helps! Happy learning!
Answer:
The term was obtained by grouping and adding the all x terms in the expression.
Step-by-step explanation:
The example has already provided this step:
(x -4) +(x +1) +(¼x +5)= 
Thus, the question is asking how is
derived from the expression.
The attached picture shows the intermediate working to arrive at the final perimeter expression.
This expression is later equated to 20 since it is given that the perimeter of the traingle is 20 inches.
Answer:
0.5
Step-by-step explanation:
An uniform probability is a case of probability in which each outcome is equally as likely.
For this situation, we have a lower limit of the distribution that we call a and an upper limit that we call b.
The probability that we find a value X higher than x is given by the following formula.

The mail arrival time to a department has a uniform distribution over 5 to 45 minutes.
This means that
.
What is the probability that the mail arrival time is more than 25 minutes on a given day?

So the probability that the mail arrival time is more than 25 minutes on a given day is 0.5.
Possible outcomes: 10C4 = 210 ( combinations - we choose 4 of 10 people )
Favorable outcomes: ( 2C1 ) · ( 8C3 ) = 2 · 56 = 112
Probability : 112 / 210 = 0.5333 ( or 53.33 % ).