Answer:
c. total revenue does not change.
Explanation:
A price elasticity of demand can be defined as a measure of the responsiveness of the quantity of a product demanded with respect to a change in price of the product, all things being equal.
Mathematically, the price elasticity of demand is given by the formula;
The demand for goods is said to be elastic, when the quantity of goods demanded by consumers with respect to change in price is very large. Thus, the more easily a consumer can switch to a substitute product in relation to change in price, the greater the elasticity of demand.
Generally, consumers would like to be buy a product as its price falls or become inexpensive.
For substitute products (goods), the price elasticity of demand is always positive because the demand of a product increases when the price of its close substitute (alternative) increases.
If the price elasticity of demand for a product equals 1, as its price rises the total revenue does not change because the demand is unit elastic.
Complete Question:
Determine the utilization and the efficiency for each of these situations:
a. A loan processing operation that processes an average of 7 loans per day. The operation has a design capacity of 10 loans per
day and an effective capacity of 8 loans per day.
b. A furnace repair team that services an average of four furnaces a day if the design capacity is six furnaces a day and the
effective capacity is five furnaces a day.
c. Would you say that systems that have higher efficiency ratios than other systems will always have higher utilization ratios than
those other systems? Explain.
Explanation:
It's not (true) actually. Whether the design capacity is comparatively (high), the utilisation could be (low) even though the efficiency was (high).
Utilisation = Output / Design capacity =
x 100%
Efficiency = Output / Effective capacity = 
Utilisation = 
Efficiency = 
U = 1000/2000
e = 1000/1000
Answer:
It is both qualitative data and primary data.
Explanation:
Qualitative data is data that is not expressed in numerical values. Kay & Maggie are asking for opinons in the survey and interviews. These opinons are not numbers, they are words, language, therefore, they are qualitative.
It is primary data because Kay & Maggie are collecting the information directly from the desired source, the customers, instead of collecting the data from a third party.
Answer:
1) $0.27 per loaf of bread
2) $0.28 per loaf of bread
3) 3.7%
Explanation:
current production = 1,800 loaves per month
current labor expense = $8 per hour
constant utility cost = $800
ingredients per loaf = $0.40
multi-factor productivity = total output / (labor + materials + overhead)
current multi-factor productivity = 1,800 loaves / ($5,120 + $800 + $720) = $0.27 per loaf of bread
new output level = 1,800 x 1.35 = 2,430 loaves
new multi-factor productivity = 2,430 loaves / ($6,912 + $800 + $972) = $0.28 per loaf of bread
% increase = ($0.28 - $0.27) / $0.27 = 3.7%