In the previous problem, we explored the idea that a confidence interval can be expressed in two ways. Suppose we surveyed a sample of Oregonians and found that 52% of them preferred Coke over Pepsi, with a margin of error of 4%. To estimate the population proportion (p) of all Oregonians who prefer Coke, we could say p is 52% + 4%, or pis between 48% and 56%, or even 48% < p < 56% Let's practice this idea: Express the confidence interval 12.7 % ± 4.3 % in the form of an inequality. Fill in blanks with percentages rounded to one place after the decimal. %

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In the previous problem, we explored the idea that a confidence interval can be expressed in two ways.
Suppose we surveyed a sample of Oregonians and found that 52% of them preferred Coke over Pepsi, with a
margin of error of 4%. To estimate the population proportion (p) of all Oregonians who prefer Coke, we could
, say
pis 52% + 4%, or
p is between 48% and 56%, or even
48% < p < 56%
Let's practice this idea:
Express the confidence interval 12.7 % ± 4.3 % in the form of an inequality.
Fill in blanks with percentages rounded to one place after the decimal.
% <p<
Transcribed Image Text:In the previous problem, we explored the idea that a confidence interval can be expressed in two ways. Suppose we surveyed a sample of Oregonians and found that 52% of them preferred Coke over Pepsi, with a margin of error of 4%. To estimate the population proportion (p) of all Oregonians who prefer Coke, we could , say pis 52% + 4%, or p is between 48% and 56%, or even 48% < p < 56% Let's practice this idea: Express the confidence interval 12.7 % ± 4.3 % in the form of an inequality. Fill in blanks with percentages rounded to one place after the decimal. % <p<
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