Answer:
1.67
Explanation:
The computation of multi-factor productivity is shown below:-
Multi-factor productivity = Potential leads × Number of workers × Fee × Conversion percentage ÷ Labor cost + Material cost + Overhead cost
= 3,500 × 4 × $60 × 0.03 ÷ 4 × 40 × $35 + $1,500 + $8,000
= 25,200 ÷ 15,100
= 1.67
Therefore for computing the multi-factor productivity we simply applied the above formula.
Answer:
Explanation:
1. Calculate ending inventory Rate per unit Total cost
number of units ($) ($)
Beg bal (April1) 450 2.19 985.50
Add:purchases
April 20 410 2.69 1102.90
-----------------------------------------------------------------------------
Total goods
av for sale 860 2088.40
Less: Sales:
During April 590
--------------------------------
Ending inventory 270
2. Cost of ending inventory = 270*2.19=$591.3
For a plaintiff to establish that he or she has the standing to sue, the plaintiff must allege a personal stake in the resolution of the controversy.
<h3>Who is a Plaintiff?</h3>
A plaintiff is an individual or group who initiates a lawsuit in a court of law. The plaintiff by doing so seeks justice and a legal remedy for that particular problem.
When a plaintiff seeks to establish that he or she has a legal standing to sue, he must allege a personal stake in the resolution of the controversy. That way, he would properly establish the fact.
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Answer and Explanation:
The computation is shown below:
a. The new customer retention rate is
(a) the day above 3 days from order to delivery
= 3.5 - 3
= 0.5 days
And,
The reduction in customer retention rate is
= 0.5 × 1%
= 0.5%
errors above three per month is
= 6 - 3
= 3
The reduction in customer retention rate is
= 3 × 1.5%
= 4.5%
So, the new customer retention rate is
= 60% - 0.5% - 4.5%
= 55%
(b) The total reduction in customer retention rate is
= 0.5 + 4.5
= 5.0%
The reduction in market share is
= 5% × 0.5
= 2.5%
Now
New market share is
= 21.4% - 2.5%
= 18.9%
A store asked 250 of its customers to study the relationship between the amount spent on groceries and income. a meaningful display of the data from this study would be <u>a scatterplot</u>
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Using Cartesian coordinates, a scatterplot is a form of plot or mathematical diagram that shows values for typically two variables for a set of data. An additional variable can be shown if the points are color-, shape-, or size-coded.
When one continuous variable is under the experimenter's control and the other depends on it or when both continuous variables are independent, a scatterplot can be utilized. The data are shown as a series of points, with each point's value dictating its position on the horizontal axis and its value dictating its position on the vertical axis.
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