Answer: Option (C) is correct.
Explanation:
Given that,
In Dept. A,
Direct labor cost = $60,000
Manufacturing overhead = $90,000
Direct labor-hours = 6,000
Machine-hours = 2,000
In Dept. B,
Direct labor cost = $40,000
Manufacturing overhead = $45,000
Direct labor-hours = 9,000
Machine-hours = 15,000
Predetermined overhead rates in Dept. A = 
= 
= 150%
In dept. B = 
= 
= $3
Answer:
Cash flow year 0 (110,000)
or in other way to express it: a cashoutflow for $110,000
Explanation:
Initial net cahs outflow
this will be the acquisition of the machine cost plus the increase in the working capital for the company
machine cost: all cost necessary for acquire the machien and get it operational
supplier list price 85,000
installation cost <u> 15,000</u>
total cost 100,000
Increase in Working Capital Cost 10,000
As these are cost they are negative so we have a cashouflow
Total cashflow (110,000)
Based on the information given, it can be deduced that the method of overcoming resistance that's illustrated is known as D. Force-field analysis.
Force-field analysis simply means the framework of looking at the factors that resulted in a particular situation. It's vital in knowing the root cause of an issue.
It should be noted that force-field analysis can either drive the movement towards a goal or block the goal. It's a method for overcoming resistance to organizational change.
Learn more about an organization on:
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Quality best represents to reduce the likelihood of a product recall
There are many different statistical tools available, some of which are straightforward, some complex, and many of which are quite specialized for certain uses. Comparing data, or groups of data, in analytical activity is the most crucial common procedure for calculating accuracy (bias) and precision. Fortunately, much of the information required in routine laboratory work can be acquired using a few easy-to-use statistical tools: the "t-test," the "F-test," and regression analysis. As a result, examples of these will be provided in the following pages. Clearly, statistics are a tool, not a goal, and a skilled and committed analyst may find simple data examination, without statistical treatment, to be just as beneficial as statistical numbers on their desk.
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