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elena55 [62]
2 years ago
5

Valeriya wants to determine the likely voting outcome for the new town council election. Which sample is likely to yield the mos

t biased results?
A. every tenth person working for the largest corporation in town
B. ten people chosen at random from each page of the town’s phone list
C. every tenth person walking down Main Street in town on a variety of days and times of the day
D. ten eligible voters chosen at random from each of the different neighborhoods in town
Mathematics
2 answers:
Murrr4er [49]2 years ago
4 0

Answer:

A. Every tenth person working for the largest corporation in town

Step-by-step explanation:

We are given that,

'Valeriya wants to determine the likely voting outcome for the new town council election'.

It is required to find the most biased outcome.

Now, from the options, we see that,

'Every tenth person working for the largest corporation in town'.

will yield the most biased result, as the people working in the largest corporation may have different opinions and benefits.

So, it is most likely that the voting result for this sample may result in the outcome beneficial to only the people working in the large corporations and not for others.

Thus, sample A will yield a most biased result.

FromTheMoon [43]2 years ago
3 0
I guess that it would be A because people working in the largest corporation might have differing opinions from people who do not work in big companies/corporations. There's different benefits that people can receive based on their working place. Perhaps the people working in the largest corporation might only represent the upperclass but there's also others who do not work in the corporations and might not have the benefits that one can receive if they have a good pay as the upperclass. 
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Complete question :

The computer output and scatter plot output pertaining to the question can be found in the attached picture.

Answer:

Kindly check explanation

Step-by-step explanation:

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B.)

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From the computer output and scatter plot above :

Recall :

y = mx + c

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m= slope

x = predictor variable (height)

c = intercept

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