Answer:
The correct answer is A
Explanation:
The current liabilities is computed as:
Current Assets (CA) = Quick assets (QA)+ Inventory (I)
CA = QA + $49,000
Acid test ratio = Quick assets / Current Liabilities (CL)
2.8 = QA / CL
QA = 2.8 × CL
Current Ratio (CR) = CA / CL
3.5 = CA / CL
Putting CA = QA + Inventory
3.5 = ( QA + $49,000) / CL
Now, Putting QA = 2.8 × CL
So,
3.5 = [( 2.8 × CL ) + $49,000] / CL
3.5 = 2.8 CL / CL + $49,000 / CL
3.5 = 2.8 + ($49,000 / CL)
3.5 - 2.8 = $49,000 / CL
0.7 = $49,000 / CL
CL = $49,000 / 0.7
CL = $70,000
Answer:
The overhead cost assigned to each unit of product B is $46.2 per unit.
Explanation:
Overhead absorbed in each product B can be calculated as under:
Overhead Absorbed = Overhead Absorption Rate * Absorption Basis
Here in this question, the absorption basis is Direct labor hours. So the direct labor hour per unit of Product B is 0.7 Hr and the OAR is $66.
By putting values in the above equation, we have:
Overhead Absorbed = $66 per unit * 0.7Hrs = $46.2 per unit
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:

Answer:
a. -1.25
b. -1.25
Explanation:
Price elasticity is used to measure the change in demand as a result of a change in price.
Formula is;
= % change in Quantity/ % change in Price
a. Suppose the price increases from $1.00 to $1.50. The price elasticity of demand is:
% change in Quantity using the midpoint formula;

% Change in Price using midpoint formula

= -0.5/0.4
= -1.25
b. Suppose the price decreases from $1.50 to $1.00. The price elasticity of demand is:
% change in Quantity using the midpoint formula;

% Change in Price using midpoint formula

= 0.5/-0.4
= -1.25
They will likely find out the customer’s liking and groups
in which will serve best for their advantages of having to attract more
consumers and to sell their products more. They will likely target this goal
than to try appealing the market place because the customer will bring more advantages
to the company or in field of business and market.