Statistical Analysis

Use Statistical Analysis to Measure Your Survey Results

Using statistical analysis is an easy way to understand your survey results, and make sure you’re on the right track. Mean, median, and mode will give you easy indicators for your rating scale questions allowing you to see where people fall on your scale in a few different ways. If you ask customers to rate their satisfaction with your product on a scale of 1-5, with one being very dissatisfied and five being very satisfied, it’s easy to see from a mean of 4 that you have happy customers.  If you wanted to see how satisfied the majority of people were, you could check the mode to see that of 200 responses, 150 people said they were satisfied or a “4” on the rating scale.
 
Standard deviation and range both help measure spread of your survey responses. Use standard deviation to determine spread around the mean. For example, if the mean to our satisfaction question above was a 4 and the standard deviation was 0, you would know that all respondents had a satisfaction of 4. If the standard deviation was 1.5, you would know that the answers were more variable.

Use the confidence interval and the confidence level to determine the probability that the result in the population actually lies within the given interval. For example, if your confidence interval is (3.64-4) and your confidence level is 95%, you can say that you are 95% certain that results in the population will fall between 3.64 and 4.

Use Zoomerang Survey Software for easy Statistical Analysis of Surveys

Zoomerang Premium accounts now offer one click statistics, allowing you to view the 7 statistics listed below for each of your closed-ended survey responses.  Zoomerang continues to take the hard work out of analyzing survey results, and provide you with the guidance you need to ensure you are doing high quality research.
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7 Measures of Statistical Analysis for your Survey Results

• Mean is the arithmetic average. This is the sum of all response values divided by the total number of responses.
• Median is the middle value when the response values are ordered from lowest to highest. If there is an even number of responses then the average is taken between the two middle values.
• Mode is the most selected response value. If there are several responses that have been selected the most, these are displayed in a comma separated list.
• Range is the difference between the highest and the lowest response values, and indicates the spread of responses.
• Standard Deviation is a measure of the dispersion of the response values.
• Standard Error of the mean is an indicator of the probability that the sample mean is representative of the mean of all observations in the population.
• Confidence Interval is defined as the statistical range with a specified probability (in our case 95%) that a given response lies within the range.