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Agata [3.3K]
2 years ago
12

A researcher wants to know how professional athletes in her city feel about safety measures. She obtains a list of 952 professio

nal athletes in her city, selects 400 of them at random, and emails a questionnaire to them. 86 questionnaires are returned. Of these, 76% stated that they believe that the enforcement of safety measures needs to be completely overhauled. Classify the following groups as the population or the sample for this particular study.
a. The proportion of all professional athickes in the rescarcher's home city who believe thal the cnlorcement of salfcty mcasures nocds to be compleicly overhauled.
b. The 76% who stated that thc enforcement of salty mcasures needs to be completh overhauled.
c. The 952 prolessional athkics whosc names were oblainoed,
d. All professional athlctes.
Mathematics
1 answer:
AVprozaik [17]2 years ago
3 0

Answer:

Step-by-step explanation:

For this case the population represent all the professional athletes in the researcher city and we can assume that the sample size for tis population is N =982 and represent all the individuals of interest for the study and the parameter of interest is the proportion of athletes who believe that the enforcement of safety measures needs to be completely overhauled .

In order to estimate te parameters of the population the researcher select a sample of 400 professional athletes and just 86 of them returns the questionnaire sent. So then the real sample is the n =86 people who return the info, because the other people are part of the non response rate, and from this sample she found that the proportion of athletes who believe that the enforcement of safety measures needs to be completely overhauled is .

<h2>p=0.76</h2>
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in a random sample of 200 people, 154 said that they watched educational television. fine the 90% confidence interval of the tru
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Answer:

[0.7210,0.8189] = [72.10%, 81.89%]

Step-by-step explanation:

The sample size is  

n = 200

the proportion is

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<em>Since both np ≥ 10 and n(1-p) ≥ 10 </em>

<em>We can approximate this discrete binomial distribution with the continuous Normal distribution. As the sample size is large enough, not applying the continuity correction factor makes no significant  difference. </em>

The approximation would be to a Normal curve with this parameters:

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<em>Standard deviation </em>

\bf s=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.77*0.23}{200}}=0.0298

The 90% confidence interval for the proportion would be then  

\bf  [0.77-z^*0.0298, 0.77+z^*0.0298]

where \bf z^* is the 10% critical value for the Normal N(0,1) distribution , this is a value such that the area under the N(0,1) curve outside the interval \bf [-z^*,z^*] is 10%=0.1

We can either use a table, a calculator or a spreadsheet to get this value.

In Excel or OpenOffice Calc we use the function

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The 90% confidence interval for the proportion is then

\bf  [0.77-1.645^*0.0298, 0.77+1.645^*0.0298]=[0.7210,0.8189]

This means there is a 90% probability that the proportion of people who watch educational television is between 72.10% and 81.89%

If the television company wanted to publicize the proportion of viewers, do you think it should use the 90% confidence interval?

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