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CEP 57.39/2/032:31 PM Page 203Using Confidence Intervals for Graphically Based Data Interpretation * Michael E. J. Mason, University of Victoria Geoffrey R. Loftus, University of WashingtonAbstract
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How to fill out using confidence intervals for

01
Identify the population you want to study and collect a sample from it.
02
Calculate the sample mean and sample standard deviation of the variable you are interested in.
03
Choose a confidence level, typically 95% or 99%, which represents the level of certainty you want in your estimate.
04
Determine the appropriate confidence interval formula to use based on the sample size and distribution of the variable.
05
Plug in the values from your sample into the formula to calculate the lower and upper bounds of the confidence interval.
06
Interpret the confidence interval by saying, for example, 'We are 95% confident that the true population mean falls between X and Y.'

Who needs using confidence intervals for?

01
Researchers who want to estimate a population parameter with a certain level of confidence.
02
Statisticians who want to make inferences about a population based on a sample.
03
Decision-makers who want to assess the reliability of survey results.
04
Anyone who wants to understand the uncertainty associated with a sample statistic.

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