Answer:
Total cost of equipment was $612. The remaining amount was spent on uniforms.
To find out how many uniforms were purchased,
Total cost of uniforms
=$912-$612
=$300
Number of uniforms purchased
=
$
300
$
25
=12
Step-by-step explanation:
Answer: 3
<u>Explanation:</u>
Since we want the least number of integers, divide by the largest integer (9).
2018 ÷ 9 = 224 remainder 2
So, N = 2999...999 <em>(there are 224 of the 9's) </em>
Thus, N + 1 = 2999...999 + 1 <em>(there are 224 of the 9's) </em>
<em> </em>= 3000...000 <em>(there are 224 of the 0's) </em>
The sum of the digits is: 3 + 0 + ... + 0 <em>(there are 224 of the 0's) </em>
= 3
Answer:
350
Step-by-step explanation:
In this case you would round up, to the nearest multiple of 10. Since 348 is closer to 350 than it is to 340, the answer is 350.
Answer:
a. 9 pounds of broccoli and 1 pound of zucchini
b. 7lbs broccoli and 2 lbs of zucchini
c. 6lbs zucchini and 4lbs broccoli.
Step-by-step explanation:
a. well just come up with 2 numbers that equal up to 10 so yea.
b. 7lbs broccoli 2 lbs of zucchini - this is 9 lbs of veggies but it costs 17 dollars because (7*2)+(2*1.50)=17
14+3=17 (the 7 and 2 is the amount of pounds of veggies and the 2 and 1.50 are the prices)
c. it would be 6 lbs of zucchini and 4 lbs of broccoli because 6+4=10 and (6*1.50)+(4*2)=17
Answer: a. 0.61
b. 0.37
c. 0.63
Step-by-step explanation:
From the question,
P(A) = 0.39 and P(B) = 0.24
P(success) + P( failure) = 1
A) What is the probability that the component does not fail the test?
Since A is the event that the component fails a particular test, the probability that the component does not fail the test will be P(success). This will be:
= 1 - P(A)
= 1 - 0.39
= 0.61
B) What is the probability that a component works perfectly well (i.e., neither displays strain nor fails the test)?
This will be the probability that the component does not fail the test minus the event that the component displays strain but does not actually fail. This will be:
= [1 - P(A)] - P(B)
= 0.61 - 0.24
= 0.37
C) What is the probability that the component either fails or shows strain in the test?
This will simply be:
= 1 - P(probability that a component works perfectly well)
= 1 - 0.37
= 0.63
