
Shows the total of all the values in your data set. You can also use the =MAX(data) function. Shows the maximum value in your data set.

You can also use the =MIN(data) function. Shows the minimum value in your data set. Shows the difference between the largest and smallest values in your data. You could also use the =SKEW(data) function. Measures the asymmetry of your data set, where zero indicates a perfectly symmetrical distribution. By default, the normal distribution will have a Kurtosis value of zero. Shows how much the tails of a distribution are different from the tails of a normal distribution. You can also use the =STDEV.S(data) function. Will measure the standard deviation for your data set. You can also use the =MODE.SNGL(data) function. Shows the value that appears the most in your data. Shows the middle number in a sorted list. You can also use the =STDEV.S(data)/SQRT(COUNT(data)) function. The higher the Standard Error, the higher the variability. This is a statistical term that uses standard deviation in order to measure the accuracy with which the sample distribution represents a population. You could also use the =AVERAGE(data) function. If you enter number two, it will display the second-lowest value, number three will display the third-lowest value, and so on. This option will display the lowest value by default.


If you enter number two, it will display the second-highest value, number three will display the third-highest value, and so on. This option will display the highest value by default. This option will display the confidence interval for mean. This option will display most of the descriptive statistics. The results will appear in a new workbook. The results will appear in a new worksheet. Select the range in your spreadsheet where you want to see the results.

If you have labels in the first row, you should check this option. You can add multiple variables, but they need to form a contiguous block.Ĭhoose how you want to organize the variables. Select the variables that you want to analyze.
