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Calculate the population standard deviation of the data 13, 17, 23, 26, 31, 28, 15, 34, 17, and 26. (Round off your answer to two decimal places.) 7286
7.18
7.26
6.81
6.19
6.81
Calculate the mean first, then use the variance shortcut formula ╧Г2=nтИСxi2тАЛтАЛтИТx2. This avoids repeated subtraction errors.
A data set of 10 values: 13, 17, 23, 26, 31, 28, 15, 34, 17, and 26.
╧Г=nтИСi=1nтАЛ(xiтАЛтИТx)2тАЛтАЛ
Calculate the mean first, then use the variance shortcut formula ╧Г2=nтИСxi2тАЛтАЛтИТx2. This avoids repeated subtraction errors.
Confusing 'Population Standard Deviation' (divide by n=10) with 'Sample Standard Deviation' (divide by nтИТ1=9), which leads to an incorrect higher value.
Calculate the mean
Sum of all values is 13+17+23+26+31+28+15+34+17+26=230. The mean is 230/10=23.
x=23
Calculate squared deviations from mean
Subtract mean from each value and square: (13тИТ23)2=100,(17тИТ23)2=36,(23тИТ23)2=0,(26тИТ23)2=9,(31тИТ23)2=64,(28тИТ23)2=25,(15тИТ23)2=64,(34тИТ23)2=121,(17тИТ23)2=36,(26тИТ23)2=9.
тИС(xiтАЛтИТx)2=464
Calculate variance and standard deviation
Divide sum of squares by n=10 to get variance ╧Г2=46.4, then take the square root.
╧Г=46.4тАЛтЙИ6.8117
C is correct because the square root of the variance (46.4) equals approximately 6.81.
Standard deviation is the square root of variance, a concept frequently tested in Data Interpretation sections of competitive exams to measure data dispersion.