"Real Wages" are wages that are adjusted for inflation and rising prices. As prices rise, people are able to buy less and less with their "nominal" (aka un-adjusted) wages.
One example is gas for your car. If you make $1000 a month and gas goes up from $2.50 to $3, your un-adjusted wages stay the same (you still make $1000) but you can't buy as much of other things because your "real" wages have effectively gone down due to the price increase of gas.
Answer:
E) none of the above
12.70% and 2.49% standard deviation
Explanation:
We multiply probability by the outcome to get the weighted amount, we add them and get the expected return.
probability outcome weighted
0.25 0.10 0.0250
0.45 0.12 0.0540
0.30 0.16 0.0480
expected return 0.1270
Now that we got the expected return at 12.7%
We now subtract the possible outcome with the expected return and square them:
(0.127-0.1)^2
(0.127-0.12)^2
(0.127-0.16)^2
Then we add them and divide by the sample which is 3
0.000622
²√ 0.000622 = 0.024944383
<u><em>Final step,</em></u> will be the square root which gives the standard deviation
of 2.49% = 0.024947
Answer:
The correct answer is letter "D": direct materials prices are controlled by the purchasing department and quantity used is controlled by the production department.
Explanation:
Standard price is the estimated price direct materials could have at the moment of ordering a purchase. Standard quantity refers to the forecasted number of units necessary for the production process of the firm. The two of them are separated to allocate each one to the department in charge of their providing accurate measures: <em>standard prices are set by the purchasing department while the standard quantity is estimated by the production department.
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The efficiency of standard price and quantity relies on the purchasing and production departments separately.
