Chocolate chip cookies- a little gooey when warm
dodgers-delightfully sweet and full of filling
to name a few...
Answer: D. All of the above
Explanation: The three options listed could explain why the productivity of labor increased with a reduction in the quantity of labor hired. The law of diminishing returns states that as more and more inputs of production are added, a time comes in when additional inputs causes no corresponding increase in productivity. At points like this a reduction in the input added would restore productivity.
Reducing the amount of labor obviously is a labour saving technical change. Changes in organizational innovation can also result in changes in productivity.
I would say that the market economy and westward expansion promoted the institution of slavery as in the new United States whereby in order to sell more say cotton at a cheap price (the market economy) then the landowners would employ slaves for cheap labour so as to extract maximum profit from their labour.
Answer:
(d)$105,000.
Explanation:
Since the book value is more than the generated future cash flows so book value cannot be recovered. In this case, the generated future cash flows are ignored
In this scenario, we compare the values between book value and the fair value of machinery, the difference would be the loss on impairment of the asset
In mathematically,
= Book value of machinery - fair value of machinery
= $520,000 - $415,000
= $105,000
Answer:
$0.013
0.010724
Explanation:
Given that :
Mean, m = 36500
Standard deviation, s = 5000
Refund of $1 per 100 mile short of 30,000 miles
A.) Expected cost of the promotion :
P(X < 30,000)
Using the Zscore relation :
Zscore = (x - m) / s
Zscore = (30000 - 36500) / 5000
= - 6500 / 5000
= - 1.3
100 miles = $1
1.3 / 100 = $0.013
b. What is the probability that Grear will refund more than $50 for a tire?
100 miles = $1
$50 = (100 * 50) = 5000 miles
Hence, more than $50 means x < (30000 - 5000) = x < 25000 miles
P(x < 25000) :
(25000 - 36500) / 5000
-11500 / 5000
= - 2.3
P(z < - 2.3) = 0.010724 (Z probability calculator)
