Answer:
The correct answer is $907.76.
Explanation:
According to the scenario, computation of the given data are as follow:-
1¥ = 82.54$
1£ = 132.03¥
Convert pounds to us dollars= £ ÷ $ = £132.03 ÷ $82.54
= 1.60$ ÷ £
Mean, 1£ = 1.6$
She has £567.35 .
After converting the pound into the dollar, she will receive = £567.35 × $1.60
= $907.76
Hence, she receive $907.76 if she sells the pounds.
Answer:
= (0.043 , 0.257)
Explanation:
p = 9/60 = 0.15
Z score for 98% confidence interval = Z0.01 = 2.33
The Confidence interval = (p + Z0.01 * sqrt(p * (1 - p) / n))
= (0.15 + 2.33 * sqrt(0.15 * (1 - 0.15) / 60))
= (0.15 + 0.107)
= (0.043 , 0.257)
Answer:
C. $4.20
Explanation:
The computation is shown below:
Before that we need to do following calculations
Total costs to be incurred is
= ($2 × 5,000,000 units) + $9,000,000
= $19,000,000
Now
Required return is
= $40,000,000 × 5%
= $2,000,000
So,
Sales price per unit is
= (Total cost incurred + required return) ÷ number of unit sold
= ($19,000,000 + 2,000,000) ÷ 5,000,000 units
= $4.20
Tt’s $25.23 because if you compare the price to money in USA, it will come up to that amount.
<h3>What is money?</h3>
Money is a good that is frequently used as a medium of economic exchange. It acts as the primary determinant of wealth and the means of expressing prices and values. By anonymously traveling from one person to another and from one nation to another, it allows trade as a kind of exchange.
Money is something that is frequently utilized in a specific nation or socioeconomic setting to buy goods and services and pay off debts. As a unit of account, a medium of exchange, and periodically as a baseline for postponed payments, money serves four main purposes.
To learn more about money visit:
brainly.com/question/22984856
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Answer:
If we use the data of january then the quation of line is
y=mx+c
3500=40000m+2000
3500 is the value on Y axis, 40000 is the value on x axis, m is the slope of the line, 2000 is the Y intersect
the slope of the line will be 3/80 or 0.0375 and this tells the line is positive sloping.
