Inferential Statistics (Leaving Cert Mathematics): Flashcards

📚Flashcards
Margin of Error and Confidence Intervals
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Population (in sampling context)

Large group being studied in research

Sample (in sampling context)

Smaller group studied to represent population

Typical sample size for opinion polls

Around 1000 people

Sample proportion symbol and meaning

p^\hat{p}, fraction in sample with characteristic

Population proportion symbol and meaning

pp, true fraction in population with characteristic

Margin of error formula

E=1nE = \frac{1}{\sqrt{n}}

What does margin of error tell us?

How much sample result might differ from true population value

Effect of larger sample size on margin of error

Margin of error decreases

95% confidence interval formula

p^±1n\hat{p} \pm \frac{1}{\sqrt{n}}

What does 95% confidence level mean?

Method works correctly 95% of the time

Lower bound of confidence interval

p^E\hat{p} - E or p^1n\hat{p} - \frac{1}{\sqrt{n}}

Upper bound of confidence interval

p^+E\hat{p} + E or p^+1n\hat{p} + \frac{1}{\sqrt{n}}

Find sample size nn given margin of error EE

n=(1E)2n = (\frac{1}{E})^2 or n=1E2n = \frac{1}{E^2}

To halve margin of error, sample size must...

Quadruple (multiply by 4)

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