Answer:
Break Even Point
In Units = 2,000 units
In value = $80,000
Explanation:
Break even Point = 
When we use contribution per unit, we get the break even point in units sales.
When we use the contribution margin as a percentage of sales we get break even sales in value.
Contribution per unit = $20
Contribution margin in percentage = $20/$40 = 50%
Therefore, Break even Point in units = 
Break even units = 2,000
Break Even Point in value = 
Sales to be made in value at break even = $80,000
Answer:
A skilled broker will be right at 60% of time compared to 50%
Explanation:
Solution
Given that:
Now,
Let X be represented as = number of correct predictions/outcomes
X foll binomial distribution with n = 3 and p = 0.5 for broker who use a toss coin
Thus,
P(X = 3) = p^3 = 0.5^3 which gives us = 0.125
So,
For a skilled broker, Y goes with the binomial distribution with n = 3 and p is = 0.6
Then,
P(Y = 3) = 0.6^3 = 0.216
We can therefore conclude who is skilled broker by making large number of observations
Hence, we say that a skilled broker will be correct 60% of time compared to 50%
.
Answer: Option (C) is correct.
Explanation:
Correct Option: Political business cycle
If government tax revenues change automatically and in a countercylical direction over the course of the business cycle, this would be called a Political business cycle.
These cycles are present in macroeconomic variables such inflation rate, output and unemployment. There are two types of regime follow in this cycle are as follows:
(i) Regime A consist of expansionary polices which results in a economic growth and inflation. If the inflation rate is high enough then there is a withdrawal of policy.
(ii) Regime B consist of contractionary polices which results in reducing economic growth and inflation. It will become voted out if the unemployment is too high, replaced by Regime A. It generally lead to downward movement of the cycle.
Answer:
The electrical action has the better expected monetary value with 492,000
Explanation:
We will multiply the expected outcome by their probability then, we add them to get the expected monetary value per option:
![\left[\begin{array}{ccccc}$WIND-UP&$Return&$Probability&$Weight\\$Light&325000&0.1&32500\\$Morerate&190000&0.3&57000\\$Heavy&170000&0.6&102000\\$Total&&1&191500\\\end{array}\right]](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bccccc%7D%24WIND-UP%26%24Return%26%24Probability%26%24Weight%5C%5C%24Light%26325000%260.1%2632500%5C%5C%24Morerate%26190000%260.3%2657000%5C%5C%24Heavy%26170000%260.6%26102000%5C%5C%24Total%26%261%26191500%5C%5C%5Cend%7Barray%7D%5Cright%5D)
![\left[\begin{array}{cccc}$PNEUMATIC&Return&Probability&Weight\\$Light&300000&0.1&30000\\$Morerate&420000&0.3&126000\\$Heavy&400000&0.6&240000\\$Total&&1&396000\\\end{array}\right]](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bcccc%7D%24PNEUMATIC%26Return%26Probability%26Weight%5C%5C%24Light%26300000%260.1%2630000%5C%5C%24Morerate%26420000%260.3%26126000%5C%5C%24Heavy%26400000%260.6%26240000%5C%5C%24Total%26%261%26396000%5C%5C%5Cend%7Barray%7D%5Cright%5D)
![\left[\begin{array}{cccc}$Electrical&Return&Probability&Weight\\$Light&-600000&0.1&-60000\\$Morerate&240000&0.3&72000\\$Heavy&800000&0.6&480000\\$Total&&1&492000\\\end{array}\right]](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bcccc%7D%24Electrical%26Return%26Probability%26Weight%5C%5C%24Light%26-600000%260.1%26-60000%5C%5C%24Morerate%26240000%260.3%2672000%5C%5C%24Heavy%26800000%260.6%26480000%5C%5C%24Total%26%261%26492000%5C%5C%5Cend%7Barray%7D%5Cright%5D)
Answer:
Cash Received during the period = $155200
Explanation:
The amount of receipts or cash received during the period can be calculated using the following formula.
Cash Received = Closing Balance + Cash Disbursements - Opening Balance
Cash Received = 67200 + 128000 - 40000
Cash Received = $155200
So, the cash receipts during the period are $155200.
