Percent is given, which is the percent of the missing cases.Ĭ. In thisĬolumn, the N is given, which is the number of missing cases and the Missing – This refers to the missing cases. Percent is given, which is the percent of non-missing cases.ī. In thisĬolumn, the N is given, which is the number of non-missing cases and the Valid – This refers to the non-missing cases. Writing score Stem-and-Leaf Plot Frequency Stem & Leaf 4.00 3. Kurtosis – Kurtosis is a measure of tail extremity reflecting either the presence of outliers in a distribution or a distribution’s propensity for producing outliers (Westfall,2014) Is less than the median, has a negative skewness. Skewness of 0, and a distribution that is skewed to the left, e.g. A symmetric distribution such as a normal distribution has a
Skewness – Skewness measures the degree and direction ofĪsymmetry. Weĭon’t generally use variance as an index of spread because it is in squared Therefore, the variance is the corrected SS divided by N-1. The Corrected SS is the sum of squared distances of data valueįrom the mean. The sum of the squared distances of data value from the mean divided by the Variance – The variance is a measure of variability. The larger the standardĭeviation is, the more spread out the observations are. Measures the spread of a set of observations. – Standard deviation is the square root of the variance. The mean is sensitive to extremely large or small values.į. The most widely used measure of central tendency. Mean – This is the arithmetic mean across the observations. Maximum – This is the maximum, or largest, value of the variable.Į. Minimum – This is the minimum, or smallest, value of the variable.ĭ. The total number of observations is the sum of N and the number of missingĬ. N – This is the number of valid observations for the variable. Valid N (listwise) – This is the number of non-missing values.ī. statistics = mean stddev variance min max semean kurtosis skewness.Ī. We will use the hsb2.sav data file for our You need just a few numbers, you may want to use the descriptives You are looking for, but can be overwhelming if you are not used to it.
This can be very helpful if you know what You will find that the examine commandĪlways produces a lot of output. Have deleted unnecessary subcommands to make the syntax as short and We have added some options to each of these commands, and we We will show two: descriptives andĮxamine. ThereĪre several commands that you can use to get descriptive statistics for aĬontinuous variable. That you need to end the command (and all commands) with a period. In quotes, you need to specify where the data file is located In the syntax below, the get file command is used to load the data The variable female is a dichotomous variable coded 1 if the student was Scores on various tests, including science, math, reading and social studies ( socst). The data used in these examples were collected on 200 high schools students and are
#SPSS 16 DEFINITION HOW TO#
This page shows examples of how to obtain descriptive statistics, with footnotes explaining the