Consider the following sample of observations on coating thickness for low-viscosity paint: 0.83 0.88 0.88 1.04 1.09 1.12 1.29 1.31 1.48 1.49 1.59 1.62 1.65 1.71 1.76 1.83 Assume that the distribution is normal. A. Calculate a point estimate of the mean value of coating thickness B. Estimate P[X < 1.5], the proportion of all thickness values less than 1.5. (Hint: Estimate u and o first) C. What is the estimated standard error used in the first question? Ans. A. 1.3481 B. 0.6736 C. 0.0846

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Consider the following sample of observations on coating thickness for
low-viscosity paint:
0.83
0.88
0.88
1.04
1.09
1.12
1.29
1.31
1.48
1.49
1.59
1.62
1.65
1.71
1.76
1.83
Assume that the distribution is normal.
A. Calculate a point estimate of the mean value of coating thickness
B. Estimate P[X < 1.5], the proportion of all thickness values less than
1.5. (Hint: Estimate u and o first)
C. What is the estimated standard error used in the first question?
Ans. A. 1.3481
B. 0.6736
C. 0.0846
Transcribed Image Text:Consider the following sample of observations on coating thickness for low-viscosity paint: 0.83 0.88 0.88 1.04 1.09 1.12 1.29 1.31 1.48 1.49 1.59 1.62 1.65 1.71 1.76 1.83 Assume that the distribution is normal. A. Calculate a point estimate of the mean value of coating thickness B. Estimate P[X < 1.5], the proportion of all thickness values less than 1.5. (Hint: Estimate u and o first) C. What is the estimated standard error used in the first question? Ans. A. 1.3481 B. 0.6736 C. 0.0846
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