Answer: 204.76%
Explanation:
In the earlier scenario, furniture maker manufactured 47 (42 non defective) pieces per 5 laborers working 8 hours day.
Thus, the productivity in terms of units per labor hour is as follows:

= 1.05
Similarly, after the process improvement, the productivity in units per labor hour would be:

= 3.2
Thus change in productivity would be calculated as:

= 2.047 × 100
= 204.76%
Thus, the productivity of non defective parts would increase by 204.76%.
Answer:
B) False
Explanation:
The correct phrase should be:
Generally speaking, oligopolistic industries producing raw materials and semifinished goods usually offer standardized products, while oligopolists producing consumer goods usually offer differentiated products.
An example of an oligopolistic industry that we all know about is the car industry. There are very few car companies in the world since only very large companies can actually manufacture cars. Car companies offer differentiated products.
Answer:
$600,000
Explanation:
For computing the overhead applied first we have to find out the predetermined overhead rate
Predetermined overhead rate = (Total estimated manufacturing overhead) ÷ (estimated machine hours)
= $800,000 ÷ 200,000 hours
= $4
Now the overhead applied is
= Actual direct labor-hours × predetermined overhead rate
= 150,000 hours × $4
= $600,000
The four dimensions of statistical thinking, according to Wild & Pfannkuch are an investigative cycle, styles of thinking, an interrogative cycle, and dispositions. The four dimensions are simultaneously active within the thinker and incorporate both general and specific statistical thinking tendencies. Describe the four statistical reasoning/thinking dimensions that are used in statistical investigation.
* Give and describe a concrete example of how the four-step method was applied in a managerial decision-making process. Please apply the four dimensions of statistical reasoning from Wild and Pfankuch .
* Why is having a representative sample rather than a random sample not more crucial for drawing accurate conclusions about a diverse population?
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