The definitions of mode, mean and median in SPSS research.
These statistics are used in measure of central tendency.

Mode – is the most frequent value in a data set.

Mean – is the sum of all the observations or values divided by the number of cases also known as average. SPSS researchers usually take care of the outliers, which greatly affect the mean eventually leading to biasness of the results. To identify outliers one has to plot the scatter plot. Outliers may draw the mean to the left or to the right of a distribution making it skewed (Either positive or negative skewness). Mean guide SPSS researchers in concluding what is the expected in certain situation and the degree of variation from the expected. The degree of variation from the mean is standard deviation which is computed using the mean.

Median – is the centre value in a sequence, in which the sequence is either arranged in ascending or descending order. In case where the number of values is even, the median is the mean of the two values in the middle. Also when dealing with the percentiles, the value of the 50th percentile represent median.

SPSS researchers should note the following about the 3M.
When the mean and the median values are almost the same or the same the skewness value approaches zero indicating symmetrical distribution. Otherwise when there is a greater difference between the two the greater the skewness indicating asymmetrical distribution of the data. If the mean is greater than the median then the data tends to have a positive skewness and vice versa.

To obtain the 3m from SPSS, Analyze menu, Descriptive Statistics, Frequencies… Click the statistics button from the Frequencies dialog box to select mean, median and mode.

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The definitions of mode, mean and median in SPSS research.

These statistics are used in measure of central tendency.

Mode – is the most frequent value in a data set.

Mean – is the sum of all the observations or values divided by the number of cases also known as average. SPSS researchers usually take care of the outliers, which greatly affect the mean eventually leading to biasness of the results. To identify outliers one has to plot the scatter plot. Outliers may draw the mean to the left or to the right of a distribution making it skewed (Either positive or negative skewness). Mean guide SPSS researchers in concluding what is the expected in certain situation and the degree of variation from the expected. The degree of variation from the mean is standard deviation which is computed using the mean.

Median – is the centre value in a sequence, in which the sequence is either arranged in ascending or descending order. In case where the number of values is even, the median is the mean of the two values in the middle. Also when dealing with the percentiles, the value of the 50th percentile represent median.

SPSS researchers should note the following about the 3M.

When the mean and the median values are almost the same or the same the skewness value approaches zero indicating symmetrical distribution. Otherwise when there is a greater difference between the two the greater the skewness indicating asymmetrical distribution of the data. If the mean is greater than the median then the data tends to have a positive skewness and vice versa.

To obtain the 3m from SPSS, Analyze menu, Descriptive Statistics, Frequencies… Click the statistics button from the Frequencies dialog box to select mean, median and mode.