<h3>In the given scenario unemployment rate is 10%
</h3>
Explanation:
In the given problem,
Number of People who are working is 90,000
Number of People who are not working but looking and available is 10,000
Unemployment rate = Percentage of the total labor force that is unemployed but actively looking for employment and ready to work.
Unemployment rate = ((Unemployed people * 100) / (Total people in an economy (Working + Available for work)))
Unemployment rate = ((10000 * 100) / (90000+10000))
Unemployment rate = (1000000 / 100000)
Hence, Unemployment rate = 10%
Answer:
the correct option is c) change in the money wage and other resource prices does not shift the long run aggregate supply
Explanation:
First of all aggregate supply can be defined as the sum total of all the goods and services that are supplied in the economy during a defined period of time.
In the given question the option C is right because it is assumed that in the case of long run aggregate supply , the supply curve tends to remain static because any kind of change in the aggregate demand causes only temporary changes in the total output of the economy and the slope of the curve remains vertical. It is also assumed that the economy is being used at optimal as only factors like labor, capital, and technology can bring in aggregate supply.
Options a) and b) can't be true because if the supply curve is gonna shift , it is first going to shift in short run aggregate supply then long run aggregate supply , not the other way around.
Answer:
Bank adjusted balance 5,720
Explanation:
6,300
-840 outstanding check
+260 deposit in ransit
5,720 bank adjustment balance
<em><u>Notes:</u></em>
- the bookkepper error needs to be done on books cash account
- the service charge are included in the bank statemnt, is at adjustment to the book cash
- the interest revenue is also 22 an adjustment for the book cash account
Answer:
1,030
Explanation:
Calculation for what is the exponential smoothing forecast value
Exponential smoothing forecast value = 1,000 + 0.3 x (1,100-1,000)
Exponential smoothing forecast value = 1,000 + 0.3 x (100)
Exponential smoothing forecast value = 1,000 + 30
Exponential smoothing forecast value= 1,030
Therefore the exponential smoothing forecast value will be 1,030
A ‘con’ maybe? only thing i can think of
