Question

In: Statistics and Probability

P(Z<z) z Mu Sigma x 0.2735 FALSE 202 65 FALSE 0.8615 FALSE 543 60 FALSE 0.0790...

P(Z<z) z Mu Sigma x
0.2735 FALSE 202 65 FALSE
0.8615 FALSE 543 60 FALSE
0.0790 FALSE 352 244 FALSE
0.3020 FALSE 552 348 FALSE
0.4139 FALSE 787 255 FALSE
0.9537 FALSE 643 499 FALSE
0.9127 FALSE 949 60 FALSE
0.7930 FALSE 68 66 FALSE
0.4808 FALSE 246 205 FALSE
0.3821 FALSE -93 4 FALSE
0.3747 FALSE 256 50 FALSE
0.0671 FALSE -123 6 FALSE
Instructions: Complete columns B and F. Don't round column F.
Notes: Skill with no specific practice set: Finding z and x for P(Z>z). These must be found by either subtracting from 1 or reversing sign of z.

Solutions

Expert Solution

P(Z<z) z Mu Sigma x
0.2735 -0.6023 FALSE 202 65 162.8530 FALSE
0.8615 1.0871 FALSE 543 60 608.2250 FALSE
0.079 -1.4118 FALSE 352 244 7.5135 FALSE
0.302 -0.5187 FALSE 552 348 371.5074 FALSE
0.4139 -0.2175 FALSE 787 255 731.5314 FALSE
0.9537 1.6818 FALSE 643 499 1482.2378 FALSE
0.9127 1.3576 FALSE 949 60 1030.4542 FALSE
0.793 0.8169 FALSE 68 66 121.9137 FALSE
0.4808 -0.0481 FALSE 246 205 236.1301 FALSE
0.3821 -0.3000 FALSE -93 4 -94.1999 FALSE
0.3747 -0.3194 FALSE 256 50 240.0285 FALSE
0.0671 -1.4977 FALSE -123 6 -131.9865 FALSE

P(Z < z) = p

z = normsinv(p)

X = mean + z *sd


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