Confidence Interval for Proportions

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Confidence Interval for Proportions

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1

Confidence Interval for Proportions

Just like with mu, we don’t know the value of P but we have p-hat

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2

Conditions for estimating P

  1. SRS

  2. Approximately normal (n(p-hat)≥10, n(1-phat)≥10)

  3. Independent (10n≤N)

If conditions are met, it is safe to make a confidence interval

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3

Constructing a confidence interval for p

(Check formula sheet, then plug in statistic, critical value (z*), and SD equation (it’s on the sheet))

  • statistic = p-hat

<p>(Check formula sheet, then plug in statistic, critical value (z*), and SD equation (it’s on the sheet))</p><ul><li><p>statistic = p-hat</p></li></ul>
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4

The margin of error (ME) is the confidence interval for p

<p></p>
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5

To determine the sample size n that yields a level C confidence interval for a population proportion p

≤ ME

<p>≤ ME</p>
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6

Margin of error for a 1-sample z interval

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7

Margin of error for a 1 sample t-interval

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8

PANIC MEANS TO ROUND

UP

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9

Standard error

Standard deviation of a statistic/sample

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