Answer:
C. 66,000
Explanation:
Ending Work in Process (WIP) = Beginning Work in Process + Units Started into Production - Units Completed and Transferred
Ending WIP = 6,000 * 100% + 60,000 - 50,000 = 16,000
Equivalent Units of Production (EUP) = Units Completed + Units Ending WIP x % of conversion
EUP = 50,000 + 16,000 * 100 = 66,000
Answer:
Fixed costs= $73,760
Variable cost= $159,430
Explanation:
<u>First, let's separate the factory overhead costs:</u>
<u></u>
Power and light 40,450
Factory insurance 23,560
Production supervisor wages 118,980
Production control wages 30,930
Factory depreciation 19,270
<u>Now, the fixed and variable costs:</u>
Fixed costs= Factory insurance 23,560 + Production control wages 30,930 + Factory depreciation 19,270
Fixed costs= $73,760
Variable cost= Power and light 40,450 + Production supervisor wages 118,980
Variable cost= $159,430
Answer: William should replace the machine with a new one because over that 2 year span he will be losing less money, if he were to repair he would lose more money.
Explanation:
Answer:
Option A, buy less of X and more of Y is correct.
Explanation:
The amount that Mr. Rational is going to spend = $27
Quantity of good X = 5 units
Price of good X (Px) = $3 per unit
Marginal utility of 5th unit of X (MUx) = 30
Quantity of good Y = 6 units
Price of good Y (Py) = $2 per unit
Marginal utility of 6th unit of Y (MUy) = 18



So good x will be substituted for y in order to reach the consumer equilibrium.

Thus, Option a. buy less of X and more of Y is correct.
Knowledge discovery in databases (KDD), which is the total process of transforming raw data into valuable information, includes data mining as a crucial component.
<h3>What is data mining and how it works explain?</h3>
In order to uncover patterns in company data that may be used to make better decisions, data mining is the application of a number of technologies, methods, and analytical approaches. It combines statistics, artificial intelligence, and machine learning to find patterns, correlations, and anomalies in enormous data sets.
<h3>Why is data mining useful?</h3>
The ability to find hidden patterns for one's own use is made possible by data mining software, which is incredibly helpful to enterprises. Since they are employed in data analysis and forecasting, these patterns help to improve business relationships by increasing the potential of the organization.
Learn more about data mining: brainly.com/question/17092948
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