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Nookie1986 [14]
3 years ago
12

The assessed value for your buyer clients' new purchase is $209,000. They feel they got a great deal since they're purchasing th

e property for $175,000. They've asked you to estimate their monthly property taxes. You know the rate for their jurisdiction is .52%. What is the monthly tax amount your clients owe
Business
1 answer:
svlad2 [7]3 years ago
4 0

Answer:

Monthly tax amount = $90.57 (Approx)

Explanation:

Given:

Purchase value = $209,000

Rate = 0.52%

Find:

Monthly tax amount

Computation:

Monthly tax amount = ($209,000 x 0.52%)/12

Monthly tax amount = 1,086.80/12

Monthly tax amount = $90.57 (Approx)

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Answer:

(I) Price elasticity = 1/6

(II) the $2.5 price gives the higher revenue: 1,250

Explanation:

(I) price elasticity

E_s =\frac{\frac{Q2 - Q1}{(Q2+Q1)/2}}{\frac{P2 - P1}{(P2+P1)/2}}

↑Q (500 - 300)/((500+ 300) / 2)

↑Q 200 / (800/2) =  200/400 = 1/2

↑P (3.5 - 2.5)/((3.5+2.5)/2)

↑P 1/(6/2) = 1/3

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(II) total revenue

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2.5 x 500 = 1,250

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Fed up with her working conditions at the call center, Lisa decides to invest in a state-of-the-art sewing machine and produce l
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Complete Question:

Fed up with her working conditions at the call center, Lisa decides to invest in a state-of-the-art sewing machine and produce limited quantities of her own clothing designs. After a few months of operation, she decides to apply some of the forecasting techniques she mastered in school. Which of these statements about her forecasts is correct?  

  1. Her forecasts will probably be 100% accurate.
  2. Her demand forecasts for a year from now will probably be more accurate than her demand forecasts for three months from now.
  3. Her demand forecasts for each style of skirt will be less accurate than her demand forecasts for all skirts.
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Answer:

Option 4 is the correct answer

Explanation:

Because the only best way to forecast the amount of fabric required for the is dependent upon the number of customer orders for each type of skirt she receives.

Remember that the forecasting cannot be 100% correct because we human and we cannot tell the future with 100% surety. All we can do is guessing what would happen.

With the help of past data we can better estimate the demand. As their is no past data available we can make a reliable forecast of the skirt sales.

Option 3 is also incorrect because forecasting is dependant upon the reliable source of information which helps in estimating what would happen. Estimating single or combined sales is not a reliable source of information.

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