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rosijanka [135]
3 years ago
7

In a Harris poll of 514 human resource professionals, 90% said that the appearance of a job applicant is most important for a go

od first impression. Construct a 95% confidence interval for the proportion of all human resource professionals believing that the appearance of a job applicant is most important for a good first impression. Also find the margin of error. Round your answers to four decimal places.
Mathematics
1 answer:
Licemer1 [7]3 years ago
7 0

Answer: The interval is 0.9 ± 0.0259 and margin of error is 0.0259

Step-by-step explanation: <em>Confidence interval for a proportion in one sample</em> is the estimate of the proportion of a population. It is calculated following the next steps:

1) Find the proportion p=\frac{x}{n}, in which x is the number of people with the desired condition. In our case, p=0.9;

2) Calculate margin of error, i.e.:

z\sqrt{\frac{p(1-p)}{n}}

z is z-score, which for a 95% confidence, equals 1.96;

Substituting with the data given:

1.96(\sqrt{\frac{0.9(1-0.9)}{514}}) = 0.0259

3) Write: p ± z\sqrt{\frac{p(1-p)}{n}}

In our case, the interval will be 0.9 ± 0.0259.

<u><em>Margin</em></u><em> </em><u><em>of</em></u><em> </em><u><em>error</em></u> is the random sampling error in the results of a survey, i.e.,it shows you how far your result will be from the real value. For the Harris poll, margin of error is 0.0259

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Step-by-step explanation:

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The expression will be written as \rm \sqrt[8]{2^5}., the correct option is A.

<h3>What are Exponents?</h3>

Exponents are the base raised to a power, It is written in the superscript of a number.

The expression given in the statement can be written as

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The complete question is

Rewrite the rational exponent as a radical by extending the properties of integer exponents.

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Answer:

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And we can find this probability with this difference:  

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Step-by-step explanation:

Previous concepts  

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".  

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem  

Let X the random variable that represent the amount of cofee shops of a population, and for this case we know the distribution for X is given by:  

X \sim N(3500,250)  

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We are interested on this probability  

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And the best way to solve this problem is using the normal standard distribution and the z score given by:  

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If we apply this formula to our probability we got this:  

P(3300  

And we can find this probability with this difference:  

P(-0.8  

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