Home › AP EAPCET (Engineering) › Mathematics › Statistics › The sum of squared deviations of 5, 15, 25, 35, …
The sum of squared deviations of 5, 15, 25, 35, 45, 55 from their mean 30 is 1750. The variance is
A1750
B350
C291.67
D30
Answer & Solution
Correct answer: C. 291.67
Variance is the mean of squared deviations, 1750 divided by 6 observations = 291.67.
Related questions
A set has 8 equal observations. Its variance and range areVariance is the mean of squared deviations, whereas standard deviation isPopulation standard deviation of 2, 4, 4, 4, 5, 5, 7, 9 isWhy is range only a rough measure of dispersion?With Q1 = 20 and Q3 = 45, the quartile deviation (half the IQR) isFor the interquartile range, if Q1 = 20 and Q3 = 45, the IQR isWhy is the plain sum of squared deviations a poor dispersion measure for sets of unequal sStep deviations y have variance 2.5 and class width h = 10. The variance of x is