Finally, taking the square root gives the sample standard deviation of \(4.27\). Now adding these ten values gives a total of \(164.1\), and diving through by \(9 \) (i.e. Next, calculating the deviation of each age from this mean gives: The sample mean is denoted by \(\bar\)) we know this is \(23.3\). The most common measure of central tendency is the mean, otherwise known as the arithmetic average, which is calculated by adding together all of the data and then dividing through by the total number of values.
#Interquartile range spss ibm software
The software you use to produce your histogram will typically decide this for you, so it is not something to be overly concerned about, but if you are wanting to create or manipulate your own histogram keep in mind it is just a matter of choosing a bin width in accordance with the level of detail you wish to show: For example, the first histogram below uses bins of width one, while the second uses the bins as shown in the frequency distribution table above.
![interquartile range spss ibm interquartile range spss ibm](https://academic.udayton.edu/gregelvers/psy216/spss/images/freq_out_stats.gif)
![interquartile range spss ibm interquartile range spss ibm](https://methods.sagepub.com/images/virtual/practical-stats/9781412974943-p95-2.jpg)
Note that different versions of a histogram can be created for the same variable, depending on the bin (class interval) width used. the area of each bar represents the frequency of the corresponding bin.
![interquartile range spss ibm interquartile range spss ibm](https://www.statisticshowto.com/wp-content/uploads/2013/08/chi-square-spss-1.jpg)