Techniques for compressing the schedule include Crashing and Fast Tracking. You use them to shorten your timetable and to meet a specific scheduling objective. Fast-tracking entails carrying out two tasks concurrently, even though they wouldn't typically be.
How does fast-tracking differ from crashing to compressing a project schedule?
In conclusion, the distinctions between crashing and fast tracking are as follows: Fast-tracking entails running tasks simultaneously, whereas crashing entails adding resources to a project. The increased danger is associated with quick tracking, but the increased expense is associated with crashes.
What limitations could there be with each of crashing and fast-tracking?
Fast-tracking is free but increases the risk associated with your project. Adding more resources to your project is referred to as "crashing." Having a crash costs more money. To compress your calendar the most while spending the least amount of money, you should crash such activities. method:
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The important areas that appear on a CVP graph includes break-even point, loss area, and profit area
<h3>What is
CVP graph?</h3>
A Cost volume profit (CVP) graph is a graph that shows the relationship between the cost of production and the overall sales.
In conclusion, the important areas that appear on a cvp graph includes break-even point, loss area and profit area.
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Answer:
$18,000 F
Explanation:
Actual overhead– Overhead Budgeted=
Overhead Controllable Variance
Actual overhead=$194,000
Overhead Budgeted=$212,000
$194,000–$212,000
=$18,000 F
(40,000 ×$3.80) + $60,000
=$152,000+$60,000
= $212,000
Therefore the manufacturing overhead controllable variance is $18,000 F
Answer: D. A confidence interval is used to test a claim about two population proportions.
Explanation: Confident interval estimate is a type of estimate computed from statistics of observed data.
The confident interval estimate of the difference between two population proportions will use a standard deviation based on estimated values of the population proportion. The confident interval will be used to estimate the difference in the two population proportions, but it will not be used to test claim about two population proportions because it can not.
