Using Microsoft Excel to Compute Confidence Interval of a population mean

Wednesday, October 24, 2012

Using Microsoft Excel to Compute Confidence Interval of a population mean


CONFIDENCE: Confidence interval for a population mean

Classification: Microsoft Excel Data Analysis

The CONFIDENCE function calculates a value that you can use to create a confidence interval for the population mean based on the sample mean. This definition amounts to a mouthful, but in practice what the CONFIDENCE function does is straightforward.

Suppose that, based on a sample, you calculate that the mean salary for a chief financial officer for a particular industry equals $100,000. You might wonder how close this sample mean is to the actual population mean.

Specifically, you might want to know what range of salaries, working at a 95-percent confidence level, includes the population mean.
The CONFIDENCE function calculates the number that you use to create this interval using the syntax

=CONFIDENCE(alpha,standard_dev,size)

where alpha equals 1 minus the confidence level, standard_dev equals the standard deviation of the population, and size equals the number of values in your sample.

If the standard deviation for the population equals $20,000 and the sample size equals 100, use the formula

=CONFIDENCE(1-.95,20000,100)

The function returns the value $3920 (rounded to the nearest dollar). This interval suggests that if the average chief financial officer’s salary in your sample equals $100,000, there’s a 95-percent chance that the population mean of the chief financial officers’ salaries falls within the range $96,080 to $103,920.

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