50 dozen donuts should be produced before your average cost per dozen drops to $2.45
Let x be the number of dozen donuts produced.
The total cost to produce x dozen donuts is:
Total cost = cost of raw materials + overhead costs
Total cost = 0.65x + 0.55x
Total cost = 1.20x
The average cost per dozen can be expressed as:
Average cost per dozen = Total cost / number of dozens
2.45 = 1.20x / x
To solve for x, we can cross-multiply and simplify:
2.45x = 1.20x
x = 50
Therefore, you must produce 50 dozen donuts before your average cost per dozen drops to $2.45.
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Answer:
diagonal of square = d = 9.899
Step-by-step explanation:
let side of square = x
diagonal of square = d
perimeter = P = 28
4 * x = P
x = 28/7
x = 7
By using Pythagorean theorem we get
x^2 + x^2 = d^2
7^2 + 7^2 = d^2
d^2 = 98
d = sqrt(98)
diagonal of square = d = 9.899
Answer:
7
Step-by-step explanation:
7 is three places to the right of the decimal point, and therefore the thousandths place
After the decimal place, this is how the order goes:
tenths, hundredths, thousandths
Take the number 1.234
1.(2)34 tenths place
1.2(3)4 hundredths place
1.23(4) thousandths place
2 is in the tenths place
3 is in the hundredths place
4 is in the thousandths place
Good luck :)
(Sorry for the first answer I gave, I didn't read that clearly...)
B. 21.743.
C. 5.217.
D. 6.815.
The solution of the equation f(x) = g(x) are x = 3.055 or x = -6.055 if the f(x) = -x + 2.5 and g(x) = x² +2(x - 8)
It is defined as a special type of relationship, and they have a predefined domain and range according to the function every value in the domain is related to exactly one value in the range.
We have:
f(x) = -x + 2.5
g(x) = x² +2(x - 8)
f(x) = g(x)
-x + 2.5 = x² +2(x - 8)
After simplification:
x² + 3x - 18.5 = 0
After solving, we get:
x = 3.055 or x = -6.055
Thus, the solution of the equation f(x) = g(x) are x = 3.055 or x = -6.055 if the f(x) = -x + 2.5 and g(x) = x² +2(x - 8)
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Answer:
The answer is given below
Step-by-step explanation:
a) What is the probability that a randomly selected pregnancy lasts less than 242 days
First we have to calculate the z score. The z score is used to determine the measure of standard deviation by which the raw score is above or below the mean. It is given by:
Given that Mean (μ) = 247 and standard deviation (σ) = 16 days. For x < 242 days,
From the normal distribution table, P(x < 242) = P(z < -0.3125) = 0.3783
(b) Suppose a random sample of 17 pregnancies is obtained. Describe the sampling distribution of the sample mean length of pregnancies.
If a sample of 17 pregnancies is obtained, the new mean the new standard deviation:
c) What is the probability that a random sample of 17 pregnancies has a mean gestation period of 242 days or less
From the normal distribution table, P(x < 242) = P(z < -1.29) = 0.0985
d) What is the probability that a random sample of 49 pregnancies has a mean gestation period of 242 days or less?
From the normal distribution table, P(x < 242) = P(z < -2.19) = 0.0143
(e) What might you conclude if a random sample of 49 pregnancies resulted in a mean gestation period of 242 days or less?
It would be unusual if it came from mean of 247 days
f) What is the probability a random sample of size 2020 will have a mean gestation period within 11 days of the mean
For x = 236 days
For x = 258 days
From the normal distribution table, P(236 < x < 258) = P(-3.07 < z < 3.07) = P(z < 3.07) - P(z < -3.07) =0.9985 - 0.0011 = 0.9939