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frez [133]
2 years ago
8

Zarina wants to determine a confidence interval based on a random poll she conducted about the percent of attendees at a confere

nce who are vegetarian. She determined the margin of error for her poll results using the equation below.
E = 1.96 /.3(1-.3)/540





Based on Zarina’s work, what can be concluded?







With 90% confidence, between 4% and 30% of the attendees are vegetarian.




With 90% confidence, between 26% and 34% of the attendees are vegetarian.




With 95% confidence, between 4% and 30% of the attendees are vegetarian.




With 95% confidence, between 26% and 34% of the attendees are vegetarian.
Mathematics
2 answers:
barxatty [35]2 years ago
8 0

Answer:

With 95% confidence, between 26% and 34% of the attendees are vegetarian.

Step-by-step explanation:

Given:

Zarina used 1.96 for confidence interval for the proportion

We know that a sample proportion will have standard error as

square root of pq/n

So from the information given,E = 1.96 /.3(1-.3)/540

we find that since 1.96 is used, 95% confidence level was done.

Sample size n =540

p = 0.3 and q = 0.7

Std error =\sqrt{\frac{0.3(0.7)}{540} } =0.0197\\

Margin of error = 1.96(std error) = 0.038

=0.040 (after rounding off)

=4%

Based on Zarina’s work, it can be concluded that: 

suitable option would be which as 4 as margin of error and 95% Conf level.


With 95% confidence, between 26% and 34% of the attendees are vegetarian.

is right answer.


ozzi2 years ago
6 0
<span>Based on Zarina’s work, it can be concluded that: 

</span>With 95% confidence, between 26% and 34% of the attendees are vegetarian.

She did a binomial experiment. <span>The </span>experiment<span> consists of a number of repeated trials and each trial can result in just two possible outcomes. That can be either a success or a failure.</span>
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The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}.

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In this problem, we have that:

The taxi and takeoff time for commercial jets is a random variable x with a mean of 8.3 minutes and a standard deviation of 3.3 minutes. This means that \mu = 8.3, \sigma = 3.3.

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Z = 0.65 has a pvalue of 0.7422. This means that there is a 74.22% probability that for 37 jets on a given runway, total taxi and takeoff time will be less than 320 minutes.

(b) What is the probability that for 37 jets on a given runway, total taxi and takeoff time will be more than 275 minutes?

Total time of 275 minutes for 37 jets, so

X = \frac{275}{37} = 7.43

This probability is subtracted by the pvalue of Z when X = 7.43

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Z = \frac{7.43 - 8.3}{0.5425}

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Z = -1.60 has a pvalue of 0.0548.

There is a 1-0.0548 = 0.9452 = 94.52% probability that for 37 jets on a given runway, total taxi and takeoff time will be more than 275 minutes.

(c) What is the probability that for 37 jets on a given runway, total taxi and takeoff time will be between 275 and 320 minutes?

Total time of 320 minutes for 37 jets, so

X = \frac{320}{37} = 8.65

Total time of 275 minutes for 37 jets, so

X = \frac{275}{37} = 7.43

This probability is the pvalue of Z when X = 8.65 subtracted by the pvalue of Z when X = 7.43.

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From a), we have that for X = 8.65, we have Z = 0.65, that has a pvalue of 0.7422.

From b), we have that for X = 7.43, we have Z = -1.60, that has a pvalue of 0.0548.

So there is a 0.7422 - 0.0548 = 0.6874 = 68.74% probability that for 37 jets on a given runway, total taxi and takeoff time will be between 275 and 320 minutes.

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