Answer:
A monopolist's marginal revenue curve lies below its demand curve.
Explanation:
A monopolist's marignal revenue is always less than its demand curve. The demand curve of a monopolist is the same as its average revenue curve, and the same as the price it charges.
Because when a monopolist increases the price of a good, the demand for all goods fall, a monopolist marginal revenue is always less than its price.
Answer:
$40
Explanation:
The computation of the premium pay for the next year is shown below:
= Estimated medical bills × given percentage for next year
= $4,000 × 1 %
= $40
By multiplying the estimated value of medical bills with the next year given percentage, the premium for the next year can come
All other information that is given in the question is not relevant. Hence, ignored it
Answer:
<u>Cost of goods manufactured schedule for the month ended June 30, 2017</u>
Raw Materials $46,720
Direct Labor $51,740
Manufacturing Overhead :
Indirect labor $6,510
Factory insurance $4,700
Machinery depreciation $4,380
Machinery repairs $1,990
Factory utilities $3,740
Miscellaneous factory costs $1,980
Add Opening Work in process Inventory $5,670
Less Closing Work in process Inventory ($7,610)
Cost of goods manufactured $119,820
Explanation:
Cost of goods manufactured schedule is a summary of manufacturing costs for the production period.
<u>Determination of Raw Materials In Production</u>
Raw Materials T - Account
<u>Debit :</u>
Opening Balance $9,180
Purchases $55,020
Totals $64,200
<u>Credit :</u>
Work In Process (Balancing figure) $46,720
Closing Balance $17,480
Totals $64,200
Answer:
0.0084
Explanation:
For this probability problem, we will have to make use of the normal probability distribution table.
to use the table, we will have to compute a certain value
z = (x- mean) /Standard deviation
z = = 2.39
Probability he has worked in the store for over 10 years can be obtained by taking the z value of 2.39 to the normal probability distribution table to read off the values.
<em>To do this, on the "z" column, we scan down the value 2.3. we then trace that row until we reach the value under the ".09" column. </em>
This gives us 0.99916
Thus we have P (Z < 2.39) = 0.9916
We subtract the value obtained from the table from 1 to get the probability required.
1 - 0.9916 = 0.0084
The Probability that the employee has worked at the store for over 10 years = 0.0084
Answer:
I think it`s true
Explanation
Because for most bussineses before they start anything else they have make a plan of what they`re going to do.