Answer:
"no additional days of food need to be ordered."
Step-by-step explanation:
Suppose initial quantity of food is x units
Assuming each student eats 1 unit of food per day,
x = 30 * 100 = 3000 units of food
In 2 days, food eaten:
100 * 1 * 2 = 200 units
So food left after 2 days is 3000 - 200 = 2800 units
Now, there are 140 students. They stay 2 weeks (14 days) - 2 = 12 more days
So food eaten in 12 days:
140 * 1 * 12 = 1680 units
<u>THus, after total 14 days gone, the amount of food left is:</u>
2800 - 1680 = 1120 units
Half students left, so there are 70 students left for the last 16 days. How much food would they need?
70 * 1 * 16 = 1120 units
And there are exactly 1120 units left. So, no additional days of food need to be ordered.
Answer:
A = $ 50,978.44
Step-by-step explanation:
First, convert R percent to r a decimal
r = R/100
r = 5%/100
r = 0.05 per year,
Then, solve our equation for A
A = P(1 + r/n)nt
A = 45,000.00(1 + 0.004166667/12)(12)(2.5)
A = $ 50,978.44
Answer:
Step-by-step explanation:
<h3><u>Question 6</u></h3>
To find the greatest common factor (GCF), first list the prime factors of each number:
- 42 = 2 × 3 × 7
- 60 = 2 × 2 × 3 × 5
42 and 60 share one 2 and one 3 in common.
Multiply them together to get the GCF: 2 × 3 = 6.
Therefore, 6 is the GCF of 42 and 60.
Divide the numerator and the denominator by the found GCF:
<h3><u>Question 7</u></h3>
To find the greatest common factor (GCF), first list the prime factors of each number:
- 80 = 2 × 2 × 2 × 2 × 5
- 272 = 2 × 2 × 2 × 2 × 17
80 and 272 share four 2s in common.
Multiply them together to get the GCF: 2 × 2 × 2 × 2 = 16.
Therefore, 16 is the GCF of 80 and 272.
Divide the numerator and the denominator by the found GCF:
Answer:
rule add 15 subtract 10
Step-by-step explanation:
rule add 15 subtract 10
Answer:
Both (B) and (C) are correct
Step-by-step explanation:
Explaining in simple terms, The Simpson's paradox simply describes a phenomenon which occurs when observable trends in a relationship, which are obvious during singular evaluation of the variables disappears when each of this relationships are combined. This is what played out when hitmire appears to d well on both of natyraknamd artificial turf when separately compared, but isn't the same when the turf data was combined. Also, performance may actually not be related to the turf as turf may Just be. a lurking variable causing a spurious association in performance.
