![]() If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples. ![]() NoteTo get a clear idea of your data’s variability, the range is best used in combination with other measures of variability like interquartile range and standard deviation. It can’t tell you about the shape of the frequency distribution of values on its own. Although we have a large range, most values are actually clustered around a clear middle.īecause only two numbers are used, the range is easily influenced by outliers. In the example above, the range indicates much more variability in the data than there actually is. To find the range of a set, youll need to list all of the elements of the set so that you can identify the highest and lowest numbers. With an outlier, our range is now 42 years. Using the same calculation, we get a very different result this time: The getMinimum and getMaximum methods will return the correct values. ![]() The arguments may be passed in the order (min,max) or (max,min). The range uses the specified Comparator to determine where values lie in the range. Range example with an outlierOne value in your data set is replaced with an outlier. Creates a range with the specified minimum and maximum values (both inclusive). For students between the ages of 11 and 14. One extreme value in the data will give you a completely different range. Learn how to calculate and interpret the mean, median, mode and range to find averages with this BBC Bitesize Maths article. When paired with measures of central tendency, the range can tell you about the span of the distribution.īut the range can be misleading when you have outliers in your data set. The range generally gives you a good indicator of variability when you have a distribution without extreme values. Then subtract the lowest from the highest value. Participantįirst, order the values from low to high to identify the lowest value ( L) and the highest value ( H). Range exampleYour data set is the ages of 8 participants. This process is the same regardless of whether your values are positive or negative, or whole numbers or fractions.
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