Negative values mean that the distribution is flat, i,e, many cases in the extremes) and positive values meaning the distribution is clustered in the centre. A normal distribution would have a value of 0. (image from Kurtosis values refer to how peaked the distribution is. Values of skewness close to 0 represent symmetry, positive values mean that there are some high valued outliers and a negative value means some low valued outliers. Skewness is a measure of how symmetrical the distribution is. Standard deviation measures the spread of the data and can be used to describe normal distributions. The mean is a measure of average (sum of the values divided by the number of values). We can choose the statistics we want computed. Go to Analyse -> Descriptive Statistics -> Descriptives.įirst move the variable 'Passenger Age' to the 'Variable(s)' section.Ĭlick on the 'Options' button. Deviation, Minimum and Maximum.Ĭontinuous variables can also be analysed using the 'Descriptives' menu in SPSS. The frequency table is not needed for these data so uncheck and uncheck the options inside the chart menu.Ībove the chosen options were Mean, Median, Mode, Std.

Move over the 'Passenger's Age' variable to the right box.Ĭhoose the measures that you would like to get by clicking the check boxes.Ĭlick continue. Go back to Analyse -> Descriptive Stats -> Frequencies and return the previously moved categories back to the left box. We have some scale data in the form of the passenger's age. The descriptive statistics feature of SPSS can also give summary statistics such as the mean, median and standard deviation.

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