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6.3-12. Nine measurements are taken on the strength of a certain metal. In order, they are 7.2, 8.9, 9.7, 10.5, 10.9,
11.7, 12.9, 13.9, 15.3, and these values correspond to the 10th, 20th, ..., 90th percentiles of this sample. Construct a q-q plot of the measurements against the same per- centiles of N(0,1). Does it seem reasonable that the underlying distribution of strengths could be normal?
math   Statistics-And-Probability   
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Answer #1

Given mean voGu to find the Samle Sample mem(*)- 9 101 Mean - 1.922 Noa to find the Sample Variance Sum Xi: Te3 im deta Set - variance m- Sample Size XSamPle mean8 1C.1765+S317+ .31<5+0.5213+ 0-1037 3285+2.8157 L5355 Stamdand deviíation [5) - 253t. The lo th Pencevbile is te Value of x fi shickthe isth Pencemble Sales leve^ F-mean-+ Stamdand tha24 (-3.2435) 22 3. 2435 -7.9185 Roth feydentile is the value of X which js given Fa mãmal affenoxi mation Pbability of the Let of the ni CuJVe O-lois at 7:-0845 t,rsef8e e (5th focentile Sales level meant standand deviab = aaa + 2.534(-0845 ) 9.o80 8Similasl The oth Pencenbile is the value of x fi ahich F(x) 0.90 oF the le of the m&trmal Curve o.lo is at z- 128 Thee the ls th fencentile Sales level - meam stand and deviation C2) - 14.5 (app Measu メ emetsagainst encem tile. 13 lo lo 50

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