Causes of Measurement Variation
February 12, 2025
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Data primarily needs to be understood for its two characteristics viz central tendency and dispersion. Data tends to be centred around a point known as average. The degree to which it is spread out from that point is also important because it has an important bearing on the probability. It is for this reason that we use the following characteristics to make sense of the data involved:
Measures of Central Tendency: Different types of data need different measures of central tendency. Some of the important measures, commonly used are as follows:
Measures of Dispersion: The degree of spread determines the probability and the level of confidence that one can have on the results obtained from the measures of central tendency. Common measures of dispersion are as follows:
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