Measures of central tendency are the central or middle or average values. These are mean, median and mode.
Mean (popularly
called arithmetic mean) is the sum of all observations divided by number of
observations.
Median
is the middle value in terms of location when the observations are sorted in
ascending or descending order.
Mode is the most
repeated observation and usually lies in the center of distribution in case of
normally distributed data
Measures of dispersion are the values that show the spread-ness of the data. The most commonly used measures of dispersion are: range and standard deviation.
Range shows how
much the observation is spread in terms of extreme values. So, range is the
highest value minus lowest value.
Standard
deviation shows the dispersion of observation from the mean. It is the root
mean squared deviation of individual observations from the mean.
Steps to calculate measures of central tendency and dispersion using SPSS
Let’s work on sample data in SPSS (e.g. demo.sav from your
installation directory) or any data of your own. We can do by any one of the following two methods.
Method 1
Step 1. Identify the numerical variable (such as age, height, weight, income etc.) which is entered in number form and whose calculation of measures of central tendency and dispersion is meaningful.
Injection molding machines, recognized as|also called|also referred to as} presses, consist of a cloth hopper, an injection ram or screw-type plunger, and a heating unit. Molds are clamped to the platen of the molding machine, the place plastic is injected into the mold via the sprue orifice. Presses are rated by tonnage, which is the calculation of the amount of clamping pressure that the machine can exert. This pressure keeps the mold closed in Direct CNC the course of the injection molding course of. Tonnage can range from less than 5 tons to six,000 tons, though greater tonnage presses are rarely used. The total clamp pressure needed is determined by the projected area of the custom part being molded.
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