Answer:
Fiedler's contingency theory of leadership effectiveness.
Explanation:
Fiedler's contingency theory of leadership effectiveness states that one's effectiveness as a leader is determined by how leadership can match the situation at hand.
There is no single best way to lead, but leadership style is determined by the situation.
According to Fiedler's contingency theory of leadership effectiveness, leadership style is fixed and leaders will need to be put into situations that best matches their style.
The two important factors to consider in thos theory are leadership style and situational favourableness.
The analytic technique utilized after an adverse event occurs to prevent its recurrence is called Root cause analysis.
<h3>
What are the root cause analysis five steps?</h3>
- Root cause analysis is a technique for problem-solving used in science and engineering to determine the underlying reasons of errors or issues.
- It is frequently utilized in areas like information technology operations, telecommunications, industrial process control, accident investigation, and the healthcare sector.
- Realize the Issue: To start, you must decide what went wrong.
- Gather a Good Amount of Information.
- Determine the Related Causal Factors.
- Create a conclusion.
- Make any necessary adjustments.
- The analytic technique utilized after an adverse event occurs to prevent its recurrence is called
- Root cause analysis.
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Depot Max's inventory turnover for the year is 8.3
Given
Cost of goods sold = $56900
Begining Jovenstory = $6540
Ending Inventory = $7250 .
Average inventory = opening inventory + closing inventory / 2
= $6 540 + $-7250 / 2
Average inventory = $6895
cost of goods old
.: Inventory turnover = cost of goods sold / Average inventory
56900 / 6895
= 8. 252 times
He Depot Max's Inventory 8.3 times (approx ).
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If the amount of variability due to within-group differences is equal to the amount of variability due to between-group differences, your F value will be equal to one (1).
<h3>What is the F value?</h3>
In biology, the F value is a statistic used to estimate the variation level between different groups that can be explained by collected data.
The F value is used to test (either confirm or reject) a given explanation of data, which is known as the null hypothesis.
In conclusion, if the amount of variability due to within-group differences is equal to the amount of variability due to between-group differences, your F value will be equal to one (1).
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