Question

Suppose the value of Young's modulus (GPa) was determined for cast plates consisting of certain intermetallic substrates, resulting in the following sample observations:

116.4 115.7 114.7 115.1 115.5

(a) Calculate x.
GPa

Calculate the deviations from the mean. (Enter your answers to two decimal places.)

x 116.4 115.7 114.7 115.1 115.5
deviation    


(b) Use the deviations calculated in part (a) to obtain the sample variance and the sample standard deviation. (Round your answers to three decimal places.)

s2 = GPa2
s = GPa


(c) Calculate s2 by using the computational formula for the numerator Sxx. (Round your answer to three decimal places.)
GPa2

(d) Subtract 100 from each observation to obtain a sample of transformed values. Now calculate the sample variance of these transformed values. (Round your answer to three decimal places.)
GPa2

Compare it to s2 for the original data.

The variance in part (d) is greater than the variance in part (b).The variance in part (d) is equal to the variance in part (b).    The variance in part (d) is smaller than the variance in part (b).

suppose the value of Youngs modulus (GPa) was determined for cast plates consisting of certain intermetallic substrates, res

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Answer #1

a) ar x = (116.4 + 115.7 + 114.7 + 115.1 + 115.5)/5 = 115.48

x                         116.4            115.7               114.7                 115.1              115.5

deviation                0.92             0.22               -0.78                 -0.38         0.02       

b) s^2 = ((0.92)^2 + (0.22)^2 + (-0.78)^2 + (-0.38)^2 + (0.02)^2)/4 = 0.412

    s = у/0.412 = 0.642

c) sum x = 116.4 + 115.7 + 114.7 + 115.1 + 115.5 = 577.4

    sum x^2 = (116.4)^2 + (115.7)^2 + (114.7)^2 + (115.1)^2 + (115.5)^2 = 66679.8

s^2 = rac{sum x^2 - rac{(sum x)^2}{N}}{N - 1}

      2-1577412 66679.8 =

            = 0.412

d) By subtracting 100 from each observation, the new sample will be

16.4, 15.7, 14.7, 15.1, 15.5

ar x = (16.4 + 15.7 + 14.7 + 15.1 + 15.5)/5 = 15.48

s^2 = ((16.4 - 15.48)^2 + (15.7 - 15.48)^2 + (14.7 - 15.48)^2 + (15.1 - 15.48)^2 + (15.5 - 15.48)^2)/4 = 0.412

The variance in part (d) is equal to the variance in part(b).

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