Answer:
$175,000
Explanation:
Conversion costs are production costs that must be incurred in order to change raw materials into products.
Therefore, we have:
Total of the conversion costs = Cost of clay used in production + wages paid to the workers who paint the figurines = $76,000 + $99,000 = $175,000
This is based on your opinion :\ I use google tho
Answer:
$1,700
Explanation:
Given that,
Purchase of raw materials inventory = $1,000
Assignment of raw materials inventory to Job 5 = $500
Payroll for 20 hours with $1,000 assigned to Job 5
Factory utility bills = $750
Overhead applied at the rate = $10 per hour
Cost assigned to Job 5 at the end of the week:
= Raw materials inventory to Job 5 + Labor cost + Manufacturing Overhead applied
= $500 + $1,000 + ($10 per hour × 20 hours)
= $500 + $1,000 + $200
= $1,700
Answer:
a) 



And adding we got:

b) 
And replacing we got:
![P(X \geq 2)= =1-[0.00049 +0.0054] = 0.994](https://tex.z-dn.net/?f=%20P%28X%20%5Cgeq%202%29%3D%20%3D1-%5B0.00049%20%2B0.0054%5D%20%3D%200.994)
c) 
And replacing we got:

Explanation:
Previous concepts
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
Solution to the problem
Let X the random variable of interest "number of women", on this case we now that:
The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
Part a
For this case we want to find this probability:




And adding we got:

Part b
For this case we want this probability:

And we can use the complement rule and we got:

And replacing we got:
![P(X \geq 2)= =1-[0.00049 +0.0054] = 0.994](https://tex.z-dn.net/?f=%20P%28X%20%5Cgeq%202%29%3D%20%3D1-%5B0.00049%20%2B0.0054%5D%20%3D%200.994)
Part c
For this case we want this probability:

And we can use the complement rule and we got:

And replacing we got:
