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Brilliant_brown [7]
3 years ago
12

Por favor me puede ayudar ​

Mathematics
1 answer:
Eduardwww [97]3 years ago
5 0

<h2><u>POR FAVOR MARQUE BRAINLIEST!</u></h2>

<u></u>

Answer:

Vamos a resolver!

Step-by-step explanation:

8 / 1/4 + 2 - 1/2 / 1/4

= (8 ÷ 0.25) + 2 - (0.5 ÷ 0.25)

= (8 ÷ 0.25) - (0.5 ÷ 0.25) + 2

= 32 - 2 + 2

= 30 + 2

= 32

Tu respuesta es 32 .

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Answer:

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Step-by-step explanation:

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Step-by-step explanation:

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In an examination of purchasing patterns of shoppers, a sample of 16 shoppers revealed that they spent, on average, $54 per hour
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Answer:

54-1.64\frac{21}{\sqrt{16}}=45.39    

54 +1.64\frac{21}{\sqrt{16}}=62.61    

So on this case the 90% confidence interval would be given by (45.39;62.61)    

Step-by-step explanation:

Previous concepts

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".

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".

\bar X=54 represent the sample mean  

\mu population mean (variable of interest)

\sigma=21 represent the sample standard deviation

n=16 represent the sample size  

Solution to the problem

The confidence interval for the mean is given by the following formula:

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

Since the Confidence is 0.90 or 90%, the value of \alpha=1-0.9=0.1 and \alpha/2 =0.05, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.05,0,1)".And we see that z_{\alpha/2}=1.64

Now we have everything in order to replace into formula (1):

54-1.64\frac{21}{\sqrt{16}}=45.39    

54 +1.64\frac{21}{\sqrt{16}}=62.61    

So on this case the 90% confidence interval would be given by (45.39;62.61)    

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Step-by-step explanation:

p(A)={Ø,{2}{3},{2,3}

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