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Total frequency describes how many times an event occurs. For example, between 1 and 2 pm on a certain date, the number of cars passing through a specific intersection was 389. On the other hand, the mean is an average measures describing the central tendency of an event. For example, The average number of cars passing through a specific intersection between 1 and 2 pm is 376. That means sometimes it is more than 376, sometimes it is less, but 376 is the mean or average figure.

In statistical research the mean is widely used, usually accompanied by the standard deviation, which shows the amount of variation from the mean. A small standard deviation means that the mean is a fairly reliable estimate of the frequency of an event. A large standard deviation means that there can be a significant difference between the mean of an event and any one occurrence of it.

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Q: What is the difference between total frequency or mean in central tendency and which one can best describe the statistics in research?
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