Answer:
a. Did you purchase or lease the vehicle? CATEGORICAL DATA
b. What price did you pay? QUANTITATIVE DATA
c. What is the overall attractiveness of your vehicle's exterior? (Unacceptable, Average, Outstanding, or Truly Exceptional) CATEGORICAL DATA
d. What is your average miles-per-gallon? QUANTITATIVE DATA
e. What is your overall rating of your new vehicle? (l- to 10-point scale with 1 Unacceptable and 10 Truly Exceptional) QUANTITATIVE DATA
Explanation:
Quantitative data can be measured in numbers, e.g. 20 miles per gallon. While categorical data refers to non-numerical responses, e.g. higher quality, better looks, and is generally obtained by choosing one response from a group of available answers.
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Answer:
The company's cost of preferred stock is 5.1%
Explanation:
In order to find the cost of the preferred stock we will need to divide the dividend the company pays on it by the net amount that the company is receiving for selling it.
In order to find the dividend we will multiply 9% by the par value of 20
Dividend = 0.09*20=1.8
Now we need to find the net amount the company receives for selling the preferred stock.
The company sells the stock for $40 but also has a issuing cost of $5, so in order to find the net amount we will subtract the cost from the price.
40-5= 35
35 is the net amount the company receives.
Now we will divide the the dividend 1.8 by the net amount 35
1.8/35=0.051
=5.1%
The company's cost of preferred stock is 5.1%
Answer:
LCM = $15.5
Explanation:
RC = $14
Ceiling: NRV = $17
Floor: NRV – PM
Net realizable value for product ALPHA -Normal profit for product ALPHA
= $17 – $1.50= $15.5
Market= $15.5
LCM = $15.5
Therefore the proper per unit inventory value for product ALPHA applying LCM will be $15.5
Answer:
$200,000
Explanation:
As we know that
The net income is the income that is generated when we deduct all expenses incurred from all revenues generated that is reflected on the income statement
In mathematically,
Net income = Revenues earned - expenses incurred
= $450,000 - $250,000
= $200,000
