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In a sample of scores, the sum of squared deviations from the mean is 1054. The variance is 62. How large is the sample?

In a sample of scores, the sum of squared deviations from the mean is 1054. The variance is 62. How large is the sample?
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5 votes
In a sample of scores, the sum of squared

deviations from the mean is
1054. The
variance is 62. How large is the sample?

asked
User Coffeejunk
by
8.1k points

1 Answer

2 votes
The sum of squared value is the same for population and sample. Variance and standard deviation are different between population and sample due to the difference in the formula.
answered
User Vlmercado
by
8.6k points
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