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question. for the following set of data, find the population standard deviation, to the nearest thousandth. 101, 79, 117, 99, 96, 112, 87, 75. open statistics calculator. copy values for calculator. watch video. show examples
Step1: Calculate the mean
The data set is \(101,79,117,99,96,112,87,75\). The mean \(\bar{x}=\frac{101 + 79+117+99+96+112+87+75}{8}=\frac{766}{8}=95.75\)
Step2: Calculate the squared - differences
\((101 - 95.75)^2=(5.25)^2 = 27.5625\), \((79-95.75)^2=(-16.75)^2 = 280.5625\), \((117 - 95.75)^2=(21.25)^2=451.5625\), \((99 - 95.75)^2=(3.25)^2 = 10.5625\), \((96 - 95.75)^2=(0.25)^2=0.0625\), \((112 - 95.75)^2=(16.25)^2 = 264.0625\), \((87 - 95.75)^2=(-8.75)^2=76.5625\), \((75 - 95.75)^2=(-20.75)^2 = 430.5625\)
Step3: Calculate the variance
The population variance \(\sigma^{2}=\frac{27.5625 + 280.5625+451.5625+10.5625+0.0625+264.0625+76.5625+430.5625}{8}=\frac{1541.5}{8}=192.6875\)
Step4: Calculate the standard deviation
The population standard deviation \(\sigma=\sqrt{192.6875}\approx13.8812\approx13.881\) (rounded to the nearest thousandth)
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\(13.881\)