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:
The inventory would be valued at $75 each
Explanation:
From a market approach to valuation,we need to first of all compare the replacement cost and net realizable in order to pick the lower of both values,hence the replacement cost of $75 is lower than net realizable value of $82.50.
As a result, we can then compare the lower of replacement cost and initial cost,such that inventory can then be valued at the lower of both.
From the foregoing analysis,the replacement of $75 each per item is lower than the initial cost $76.50,invariably our inventory is valued at $75 each.
Answer:
$63,140
Explanation:
For computing the total amount of product cost first we have to find out the total product cost per unit which is shown below
Direct material cost per unit + Direct labor cost per unit + Variable manufacturing overhead per unit + Fixed manufacturing overhead per unit.
= $6.70 + $3.40 + $1.50 + $3.80
= $15.40
Now the
Product cost is
= units produced × cost per unit
= 4,100 units × $15.40
= $63,140
We simply applied the above formulas
Answer:
A Business School student looking at changes in structures of Small and Medium Sized Enterprises (SMEs) using publicly available information
Explanation:
