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Line 10: − + − *The <math>\chi^2</math> test first calculates a <math>\chi^2</math> statistic using the formula: − <math>\chi^2 = \sum_{i=1}^{columns} \sum_{j=1}^{rows} \frac{(observed ij-expected ij)^{2}}{grand total}</math>
→Description
#To find the deviation of each value, subtract all numbers with its mean value.
#To find the deviation of each value, subtract all numbers with its mean value.
#Then find the average deviation, add all the deviation values and divide by the total number of given numbers.
#Then find the average deviation, add all the deviation values and divide by the total number of given numbers.
*The formula to calculate Average deviation is:
<math>Average Deviation =\sum_{i=1}^{n} \frac{xi-\bar{x}}{n}</math>
<math>Average Deviation =\sum_{i=1}^{n} \frac{xi-\bar{x}}{n}</math>
*Here <math>xi</math> is the observation.
*Here <math>xi</math> is the observation.
*<math>\bar{x}</math> is the mean.
*<math>\bar{x}</math> is the mean.