Consider the following sample of observations on coating thickness for low-viscosity paint.
Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption).
(a) Calculate a point estimate of the mean value of coating thickness. (Round your answer to four decimal places.)
(b) Calculate a point estimate of the median of the coating thickness distribution. (Round your answer to four decimal places.)
1)
c)
for 90th percentile , critical value of z =1.28 |
therefore value that separates the largest 10% from the remaining 90% =mean+z*standard deviation =1.7763 |
d_)
P(X<1.5)=P(Z<(1.5-1.3581)/0.3267)=P(Z<0.43)=0.6664 |
e)
estimated standard error =s/√n =0.0817 |
2)
b)
separates the weakest 50% of all such beams from the strongest 50% =median=7.7 |
Consider the following sample of observations on coating thickness for low-viscosity paint.
Consider the following sample of observations on coating thickness for low-viscosity paint. 1.09 0.85 0.88 0.88 1.04 1.14 1.29 1.31 1.39 1.49 1.59 1.62 1.65 1.71 1.76 1.83 Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption). (a) Calculate a point estimate of the mean value of coating thickness. (Round your answer to four decimal places.) State which estimator you used. f ix s x os/ (b) Calculate a point estimate of...
Consider the following sample of observations on coating thickness for low-viscosity paint. 0.81 0.88 0.88 1.06 1.09 1.13 1.29 1.31 1.33 1.49 1.59 1.62 1.65 1.71 1.76 1.83 Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption). (a) Calculate a point estimate of the mean value of coating thickness. (Round your answer to four decimal places.) 1.3394 State which estimator you used. OX Os Os/ ор (b) Calculate a point estimate of...
Consider the following sample of observations on coating thickness for low-viscosity paint. 0.87 0.88 0.88 1.03 1.09 1.16 1.29 1.31 1.37 1.49 1.59 1.62 1.65 1.71 1.76 1.83 Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption). (a) Calculate a point estimate of the mean value of coating thickness. (Round your answer to four decimal places.) 1.3456 State which estimator you used. (b) Calculate a point estimate of the median of the...
Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity paint. 0.83 0.89 0.90 1.04 1.08 1.11 1.29 1.32 1.48 1.50 1.57 1.64 1.66 1.70 1.74 1.84 Determine the z percentile associated with each sample observation. (Round your answers to two decimal places.) Sample observation 0.83 0.89 0.90 1.04 1.08 1.11 1.29 1.32 z percentile Sample observation 1.48 1.50 1,571.64 1.66 1.701.74 1.84 z percentiie Choose the plot that best represents the normal probability...
(a) Calculate a point estimate of the value that separates the largest 10% of all values in the thickness distribution from the remaining 90%. [Hint: Express what you are trying to estimate in terms of ? and ?.] (Round your answer to four decimal places.) (b) Estimate P(X < 1.5), i.e., the proportion of all thickness values less than 1.5. [Hint: If you knew the values of ? and ?, you could calculate this probability. These values are not available,...
The shear strength of each of ten test spot welds is determined, yielding the following data (psi). 409 393 358 361 367 362 374 389 375 415 (a) Assuming that shear strength is normally distributed, estimate the true average shear strength and standard deviation of shear strength using the method of maximum likelihood. (Round your answers to two decimal places.) average 380.3 psi standard deviation psi (b) Again assuming a normal distribution, estimate the strength value below which 95% of...
there was no mean or std given Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity paint. 0.82 0.87 0.90 1.03 1.09 1.14 1.29 1.29 1.48 1.50 1.61 1.61 1.66 1.71 177 1.82 Determine the z percentile associated with each sample observation. (Round your answers to two decimal places.) Sample observation 0.82 1.09 1.29 0.87 0.90 1.03 1.14 1.29 z percentile Sample observation 1.48 1.61 1.66 1.82 1.50 1.61 1.71 1.77 Construct a...
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