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Andreas93 [3]
3 years ago
11

The exchange rate of U.S. dollars to British pounds (£) .63. You have $4000 to convert to British pounds. How many british pound

s will you receive?
A) £3937
B) £6349
C) 4063
D) 2520
With an explanation please bc my answer that I got isn't on here
Mathematics
2 answers:
Lana71 [14]3 years ago
7 0
The answer would be c
san4es73 [151]3 years ago
5 0
Hello there,

In the statement above, one U.S dollar would be 0.63 British pounds. Therefore, $4000*0.63=2520.

Sorry for being so late I suck :( 
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Answer:

The confidence interval on this case is given by:

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}} (1)

For this case the confidence interval is given by (62.532, 76.478)[/tex]

And we can calculate the mean with this:

\bar X = \frac{62.532+76.478}{2}= 69.505

So then the mean for this case is 69.505

Step-by-step explanation:

Previous concepts

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

\bar X represent the sample mean  

\mu population mean (variable of interest)  

\sigma represent the population standard deviation  

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Assuming the X follows a normal distribution  

X \sim N(\mu, \sigma)

The confidence interval on this case is given by:

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}} (1)

For this case the confidence interval is given by (62.532, 76.478)[/tex]

And we can calculate the mean with this:

\bar X = \frac{62.532+76.478}{2}= 69.505

So then the mean for this case is 69.505

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