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sdas [7]
3 years ago
14

Some government leaders propose allowing oil companies to drill in currently protected lands that may be rich in oil reserves. E

nvironmental researchers argue that drilling in such lands would be harmful to the surrounding ecosystem. To measure support for drilling in such lands, an oil company representative uses random-digit telephone dialing to contact adults in the region and measure opinion for increased drilling. One question in the survey asks, "Given that an increase in drilling could result in increased tax revenue and additional jobs to the region, would you support a proposal to allow drilling in lands currently protected from drilling?" What type of bias could be most likely affecting the survey results? This is undercoverage bias because some segments of the population will be excluded from the sample. This is response bias because those selected for the survey may not provide truthful opinions about oil drilling. This is voluntary res
Mathematics
1 answer:
TEA [102]3 years ago
3 0

The type of bias in this survey is question-wording bias because the question is influencing the response (option D).

Question-wording bias occurs when the words selected in the question influence a specific response. Here is one example:

  • Do you believe a cruel practice such as bullfighting should be forbidden?

In this question, the use of the word cruel qualifies bullfighting as negative, and therefore in most cases, people will answer that bullfighting should be forbidden.

This effect occurs in the question for this survey because the section given that an increase in drilling could result in increased tax revenue and additional jobs to the region indirectly states drilling is positive and therefore influences the response of those surveyed.

Note: This question is incomplete because some of the options are missing; here are the complete options:

What type of bias could be most likely affecting the survey results?

A. This is undercoverage bias because some segments of the population will be excluded from the sample.

B. This is response bias because those selected for the survey may not provide truthful opinions about oil drilling.

C. This is voluntary response bias because those most passionate about drilling will be more likely to register an opinion.

D. This is question-wording bias because the information given at the start of the question may lead those surveyed towards a desired response.

Learn more about bias in: brainly.com/question/6078134

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Four students took a national standardized test for which the mean was 500 and the standard deviation was 100. Their scores were
Len [333]
To get the z-value of the scores of the four students, we are going to use the formula for standard score or z-score.  It is score minus the mean score, then divided by standard deviation.

z= Score (X)-Mean / SD 

To find the z-value of each score, we have to use a Z table.  Using the z-score, we are to look first at the y-axis of the table which will highlight the first two digits of the z-score. Then, the x-axis for the second decimal place of the z-score.

You can use this as reference for the z-table: http://www.stat.ufl.edu/~athienit/Tables/Ztable.pdf

Mean= 500SD= 100Scores= 560, 450, 640, 530
For the student who scored 560,z= X-Mean / SDz= 560-500 / 100z= 60 / 100z= 0.6
The score is 0.6 standard deviation above the mean. The z-value is 0.7257 or 72.57%.
For the student who scored 450,z= X-Mean / SDz= 450-500 / 100z= -50 / 100z= -0.5
The score is -0.5 standard deviation above the mean. The z-value is 0.3085 or 30.85%.

For the student who scored 640,z= X-Mean / SDz= 640-500 / 100z= 140 / 100z= 1.4
The score is 1.4 standard deviation above the mean. The z-value is 0.9192 or 91.92%.
For the student who scored 530,z= X-Mean / SDz= 530-500 / 100z= 30 / 100z= 0.3
The score is 0.3 standard deviation above the mean. The z-value is 0.6179 or 61.79%.
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Answer:x=-8

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Step-by-step explanation:

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