The characteristic exhibited by the data point on a control chart that falls above the upper control limit is known as a <u>special cause variation</u><u>.</u>
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<h3>What is a special cause variation?</h3>
In statistics, a special cause variation refers to a shift in output caused by a specific factor like environmental factors, input parameters etc
In conclusion, the characteristic exhibited by the data point on a control chart that falls above the upper control limit is known as a <u>special cause variation
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Answer:
6,237
Explanation:
For computation of Abnormal spoilage totals first we need to find out the total spoiled units and normal spoiled units is shown below:-
Total spoiled units = Units in beginning Work in progress + Unit started - Units completed and transferred out - Units in ending Work in progress
= 23,000 + 76,500 - 72,100 - 19,000
= 99,500 - 72,100 - 19,000
= 8,400
and
Normal Spoiled units = Units completed and transferred out × Spoiled units percentage
= 72,100 × 3%
= 2,163
Abnormal Spoilage totals = Total spoiled units - Normal Spoiled units
= 8,400 - 2,163
= 6,237
Therefore for computing the abnormal spoilage totals we simply applied the above formula.
Answer:
retained earnings 40,000 debit
common stock 8,000 credit
additional paid-in Common Stock 32,000 credit
Explanation:
shares issued:
800,000 shares x 5% = 4,000 new shares
face value of the shares
4,000 x $2 = 8,000
market value 4,000 x $10 = 40,000
additional paid-in 40,000 - 8,000 = 32,000
we decrease retained earnings and increase the euqity account to balance.
Answer:
staffing decision making problems
Explanation:
In simple words, corporate finance relates to the branch of finance that studies how and when an organisation and individuals should incest their money in the market.
In this subject matter. the analyst takes into consideration various market factors such as interest rates, GDP etc. and by applying various tools and methods make a decision.
It particularly deals with investment decisions and asset management problems and not staffing decisions.