Title: Confidence Intervals and Confidence Levels in Sociology
Headings: Confidence Intervals And Confidence Levels
Confidence Intervals And Confidence Levels
What They Are and How to Calculate Them
Calculating The Confidence Interval

Content: Confidence Intervals and Confidence Levels in Sociology
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Confidence Intervals And Confidence Levels
What They Are and How to Calculate Them
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By
Ashley Crossman
Updated March 18, 2017
A confidence interval is a measure of estimation that is typically used in quantitative sociological research. It is an estimated range of values that is likely to include the population parameter being calculated. For instance, instead of estimating the mean age of a certain population to be a single value like 25.5 years, we could say that the mean age is somewhere between 23 and 28. This confidence interval contains the single value we are estimating, yet it gives us a wider net to be right. When we use confidence intervals to estimate a number ​or population parameter, we can also estimate just how accurate our estimate is. The likelihood that our confidence interval will contain the population parameter is called the confidence level. For example, how confident are we that our confidence interval of 23 – 28 years of age contains the mean age of our population? If this range of ages was calculated with a 95 percent confidence level, we could say that we are 95 percent confident that the mean age of our population is between 23 and 28 years. Or, the chances are 95 out of 100 that the mean age of the population falls between 23 and 28 years. Confidence levels can be constructed for any level of confidence, however, the most commonly used are 90 percent, 95 percent, and 99 percent.