standard deviation formula


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Standard Deviation
Standard Deviation of a statistical data is defined as the positive square root of the arithmetic mean of the squared deviations of items from their arithmetic mean of the series under consideration. The standard deviation is denoted b..
Standard Deviation
of a statistical data is defined as the positive square root of the arithmetic mean of the squared deviations of items from their arithmetic mean of the series under consideration. The standard deviation is denoted by s (sigma). The standard deviatio..
Standard Deviation for continuous series
Standard Deviation for continuous series - In this series too deviations may be taken either from the actual mean or from standard mean. The calculations will be simplified if the deviation are taken from assumed me..
Standard Deviation for continuous series
In this series too deviations may be taken either from the actual mean or from standard mean. The calculations will be simplified if the deviation are taken from assumed me..
Merits and Demerits of standard deviation
Merits: s is based on every item of the data. s takes care of both positive and negative deviation. Demerits: s is some what not easy to understand. The extreme values unduly affect s..
Calculation of Standard Deviation for discrete series
In the discrete series, when deviations are taken from actual mean, the formula ..
What will happen to the variance and standard deviation of a data set ..
What will happen to the variance and standard deviation of a data set if each numerical data is doubled? => Both would be doubled. or Variance increases by 3 times and standard deviation is doubled. or Variance is doubled and standard deviation..
Sketch a normal curve whose mean is 85 and standard deviation is 7.
Sketch a normal curve whose mean is 85 and standard deviation is 7. => Figure 1 or Figure 2 or Figure 3 or Figure 4..
Find the standard deviation for the data: 2, 5, 8, 10, 3, 2.
Find the standard deviation for the data: 2, 5, 8, 10, 3, 2. => 8.3 or 2.3 or 9.3 or 3.1..
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