In politics, marketing, etc. we often want to estimate a percentage or proportion p. One calculation in statistical polling is the margin of error - the largest (reasonble) error that the poll could have. For example, a poll result of 72% with a margin of error of 4% indicates that p is most likely to be between 68% and 76% (72% minus 4% to 72% plus 4%). In a (made-up) poll, the proportion of people who like dark chocolate more than milk chocolate was 33% with a margin of error of 1.9%. Describe the conclusion about p using an absolute value inequality.
In politics, marketing, etc. we often want to estimate a percentage or proportion p. One calculation in statistical polling is the margin of error - the largest (reasonble) error that the poll could have. For example, a poll result of 72% with a margin of error of 4% indicates that p is most likely to be between 68% and 76% (72% minus 4% to 72% plus 4%). In a (made-up) poll, the proportion of people who like dark chocolate more than milk chocolate was 33% with a margin of error of 1.9%. Describe the conclusion about p using an absolute value inequality.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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![In politics, marketing, etc. we often want to estimate a percentage or proportion p. One calculation in
statistical polling is the margin of error - the largest (reasonble) error that the poll could have. For
example, a poll result of 72% with a margin of error of 4% indicates that p is most likely to be between
68% and 76% (72% minus 4% to 72% plus 4%).
In a (made-up) poll, the proportion of people who like dark chocolate more than milk chocolate was
33% with a margin of error of 1.9%. Describe the conclusion about p using an absolute value
inequality.
The answer field below uses the symbolic entry option in Mobius. That lets you type in a vertical bar I to
represent absolute values. Also, when you type in < and then =, the symbolic entry option will
automatically convert that to ≤. In the same way, if you type in and then, the symbolic entry
option will automatically convert that to >.
Be sure to use decimal numbers in your answer (such as using 0.40 for 40%).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F44d2f497-07e6-4ed4-9a5c-e5251bf0c0f9%2F063b3fe5-2fa8-4e63-bb1b-6616a4c1f595%2Ffahul3p_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In politics, marketing, etc. we often want to estimate a percentage or proportion p. One calculation in
statistical polling is the margin of error - the largest (reasonble) error that the poll could have. For
example, a poll result of 72% with a margin of error of 4% indicates that p is most likely to be between
68% and 76% (72% minus 4% to 72% plus 4%).
In a (made-up) poll, the proportion of people who like dark chocolate more than milk chocolate was
33% with a margin of error of 1.9%. Describe the conclusion about p using an absolute value
inequality.
The answer field below uses the symbolic entry option in Mobius. That lets you type in a vertical bar I to
represent absolute values. Also, when you type in < and then =, the symbolic entry option will
automatically convert that to ≤. In the same way, if you type in and then, the symbolic entry
option will automatically convert that to >.
Be sure to use decimal numbers in your answer (such as using 0.40 for 40%).
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