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My answer is not correct and I am not sure what I am doing wrong (see picture) PROBLEM: In politics, marketing, etc. we often want

My answer is not correct and I am not sure what I am doing wrong (see picture)

PROBLEM:

In politics, marketing, etc. we often want to estimate a percentage or proportionp

. 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 thatp

is most likely to be between 68% and 76% (72% minus 4% to 72% plus 4%).

In a (made-up)poll, the proportionof people who likedark chocolate more than milk chocolatewas48%

with a margin of error of1.6%

. Describe the conclusion aboutp

using an absolute value inequality.

The answer field below uses the symbolic entry option in Mobius. That lets you type in a vertical bar | 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 optionwill automatically convert that to?

.

image text in transcribed
In politics, marketing, etc. we often want to estimate a percentage or proportion 13!. lDue calculation in statistical polling is the margin of error - the largest {reasonble} error that the poll could have. For example, a poll result of T2911 with a margin of error of 4% indicates that p is most likely to be between 63% and MBA: (\"32% minus 4% to \"32% plus 4%). In a {made-up] poll, the proportion of people who like dark chocolate more than milk chocolate was 48% with a margin of error of 1.5%. Describe the conclusion about 3;! using an absolute value inequality. The answer eld below uses the symbolic entry option in Mobius. That lets you type in a vertical bar | to represent absolute values. Also, when you type in 1': and then 2, the symbolic entryr option will automatically convert that to

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