Calculate Mean, Standard Deviation, and Standard Error
After collecting data, often times the first thing you need to do is analyze it. This usually entails finding the mean, the standard deviation, and the standard error of the data. This article will show you how it's done.
Contents
Steps
Cheat Sheets
Doc:Mean Diagram,Standard Deviation Diagram,Standard Error Diagram
The Data
- Obtain a set of numbers you wish to analyze. This information is referred to as a sample.
- For example, a test was given to a class of 5 students, and the test results are 12, 55, 74, 79 and 90.
- For example, a test was given to a class of 5 students, and the test results are 12, 55, 74, 79 and 90.
The Mean
- Calculate the mean. Add up all the numbers and divide by the population size:
- Mean (μ) = ΣX/N, where Σ is the summation (addition) sign, xi is each individual number, and N is the population size.
- In the case above, the mean μ is simply (12+55+74+79+90)/5 = 62.
- Mean (μ) = ΣX/N, where Σ is the summation (addition) sign, xi is each individual number, and N is the population size.
The Standard Deviation
- Calculate the standard deviation. This represents the spread of the population.
Standard deviation = σ = sq rt [(Σ((X-μ)^2))/(N)].- For the example given, the standard deviation is sqrt[((12-62)^2 + (55-62)^2 + (74-62)^2 + (79-62)^2 + (90-62)^2)/(5)] = 27.4. (Note that if this was the sample standard deviation, you would divide by n-1, the sample size minus 1.)
- For the example given, the standard deviation is sqrt[((12-62)^2 + (55-62)^2 + (74-62)^2 + (79-62)^2 + (90-62)^2)/(5)] = 27.4. (Note that if this was the sample standard deviation, you would divide by n-1, the sample size minus 1.)
The Standard Error of the Mean
- Calculate the standard error (of the mean). This represents how well the sample mean approximates the population mean. The larger the sample, the smaller the standard error, and the closer the sample mean approximates the Focus Website Promotion on Country Internet Population mean. Do this by dividing the standard deviation by the square root of N, the sample size.
Standard error = σ/sqrt(n)- So for the example above, if this were a sampling of 5 students from a class of 50 and the 50 students had a standard deviation of 17 (σ = 21), the standard error = 17/sqrt(5) = 7.6.
- So for the example above, if this were a sampling of 5 students from a class of 50 and the 50 students had a standard deviation of 17 (σ = 21), the standard error = 17/sqrt(5) = 7.6.
Video
Template:Video:Calculate Mean, Standard Deviation, and Standard Error
Tips
- Calculations of the mean, standard deviation, and standard error are most useful for analysis of normally distributed data. One standard deviation about the central tendency covers approximately 68 percent of the data, 2 standard deviation 95 percent of the data, and 3 standard deviation 99.7 percent of the data. The standard error gets smaller (narrower spread) as the sample size increases.
- An easy to use online standard deviation calculator
Warnings
- Check your math carefully. It is very easy to make mistakes or enter numbers incorrectly.
