7 - Samples, Proportions, Confidence Intervals

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9 Terms

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Distribution of a Sample Proportion

  1. Calculate SE to estimate how theoretical sample proportions cluster around pop proportion

  2. Distribution of theoretical sample proportions is affected by sample size

  3. Larger sample - closer sample proportions cluster around pop proportion

<ol><li><p>Calculate SE to estimate how theoretical sample proportions cluster around pop proportion</p></li><li><p>Distribution of theoretical sample proportions is affected by sample size</p></li><li><p><span style="color: yellow">Larger sample </span>- closer sample proportions cluster around pop proportion</p></li></ol><p></p>
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Estimating Standard Error of a Proportion

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Calculating SE for a Proportion

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Point Estimates

Estimate of a population mean

  1. SM based on a random sample is not equal to pop mean (but best estimate we have)

  2. Calculate Confidence Interval - interval estimate to give us greater confidence

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Confidence Intervals

Interval for which we can say with a certain level of confidence that the value we’re trying to estimate lies between 2 values

  1. 95%

  2. 99%

<p><strong>Interval for which we can say with a certain level of confidence that the value we’re trying to estimate lies between 2 values</strong></p><ol><li><p>95%</p></li><li><p>99%</p><p></p></li></ol><p></p>
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Distribution of Sample Proportions/Means

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Confidence Intervals with Proportions

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Rules of Confidence Intervals

  1. Pop SD should be used to calculate CI (but we don’t have this data)

  2. Use sample SD as Reasonable Estimate of pop SD if:

    *Data is normally distributed

    *Or sample size greater than 30

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Conclusions

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