3, 6, 7, 10, 12
a) range = 12 - 3 = 9
b) mean = (3 + 6 + 7 + 10 + 12)/5 = 7.6
mean deviation = ((3 - 7.6) + (6 - 7.6) + (7 - 7.6) + (10 - 7.6) + (12 - 7.6))/5
= ((-4.6) + (-1.6) + (-0.6) + 2.4 + 4.4)/5 = 0
c) standard deviation = sqrt(((-4.6)^2 + (-1.6)^2 + (-0.6)^2 + (2.4)^2 + (4.4)^2)/4) = 3.507
d) k = 2.5
1 - 1/k2
= 1 - 1/(2.5)^2
= 1 - 0.16
= 0.84 = 84%
According to Chebyshev's theorem at least 84% of the observations must be within 2.5 standard deviations of the mean.
e) According to the empirical about 68% of the data fall within one standard deviation from the mean.
mean - 2 * SD = 7.6 - 2 * 3.507 = 0.586
mean + 2 * SD = 7.6 + 2 * 3.507 = 14.614
So the two values are 0.586 and 14.614
y. Su l e ule results. 112. The masses (in kilograms) of a sample of five...
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When n-1 is used in the denominator to compute variance the data set is a sample. the data set is a population. the data set could be either a sample or a population. the data set is from a census. For any distribution, statements about the proportion of data values that must be within a specified number of standard deviations of the mean can be made using Chebyshev's theorem. The empirical rule Percentiles A five-number summary
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