Question
In: Statistics and Probability
Consider the following sample of observations on coating thickness for low-viscosity paint. 0.87 0.88 0.88 1.05...
Consider the following sample of observations on coating thickness for low-viscosity paint. 0.87 0.88 0.88 1.05 1.09 1.14 1.29 1.31 1.46 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).
(c) 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 μ and σ.] (Round your answer to four decimal places.)
Solutions
orchestra answered 1 year agoRelated Solutions
Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity...
Construct a normal probability plot for the following sample of
observations on coating thickness for low-viscosity paint.
0.83
0.87
0.89
1.02
1.09
1.14
1.27
1.29
1.46
1.51
1.60
1.64
1.67
1.70
1.78
1.83
Determine the z percentile associated with each sample
observation. (Round your answers to two decimal places.)
Sample observation
0.83
0.87
0.89
1.02
1.09
1.14
1.27
1.29
z percentile
Sample observation
1.46
1.51
1.60
1.64
1.67
1.70
1.78
1.83
z percentile
Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity...
Construct a normal probability plot for the following sample of
observations on coating thickness for low-viscosity paint. 0.83
0.86 0.86 1.02 1.08 1.12 1.29 1.31 1.46 1.51 1.60 1.63 1.67 1.69
1.74 1.84 Determine the z percentile associated with each sample
observation. (Round your answers to two decimal places.)
dont just calculate , please show step by step
Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity...
Construct a normal probability plot for the following sample of
observations on coating thickness for low-viscosity paint.
0.84
0.89
0.90
1.02
1.08
1.14
1.28
1.31
1.47
1.47
1.60
1.62
1.66
1.73
1.75
1.81
Determine the z percentile associated with each sample
observation. (Round your answers to two decimal places.)
Sample observation
0.84
0.89
0.90
1.02
1.08
1.14
1.28
1.31
z percentile
Sample observation
1.47
1.47
1.60
1.62
1.66
1.73
1.75
1.81
z percentile
Consider the following random sample observations on stabilized viscosity of asphalt specimens. 2081 1977 2037 1842 ...
Consider the following random sample observations on stabilized
viscosity of asphalt specimens.
2081
1977
2037
1842
2074
Suppose that for a particular application, it is required that
true average viscosity be 2000. Is there evidence this requirement
is not satisfied? From previous findings we know that the
population standard deviation, σ = 89.3.
State the appropriate hypotheses. (Use α = 0.05.)
H0: μ ≠ 2000
Ha: μ = 2000
H0: μ > 2000
Ha: μ < 2000
H0: μ...
A manufacturer bonds a plastic coating to a metal surface. A random sample of nine observations...
A manufacturer bonds a plastic coating to a metal surface. A
random sample of nine observations on the thickness of this coating
is taken from a week's output and the thickness (in millimeters) of
these observations are shown below. Assuming normality, find a 90%
confidence interval for the population variance.
19.1.
21.7
18.7
20.1
21.5
19.5
19.1
20.2
20.3
The following data were collected for a phosphorescent paint being proposed for use in coating highways....
The following data were collected for a phosphorescent paint
being proposed for use in coating highways.
Time (s)
Intensity (lux)
10
1505
20
745
30
369
40
183
50
90
60
45
70
22
80
11
90
5
100
3
Calculate the half-life for the paint.
What is the intensity of the light at the 2nd half-life?
What is the intensity of the light at the 3rd half-life?
An article contained the following observations on degree of polymerization for paper specimens for which viscosity...
An article contained the following observations on degree of
polymerization for paper specimens for which viscosity times
concentration fell in a certain middle range. 418 421 421 422 425
427 431 434 437 439 446 447 448 453 454 462 465
The article also gave the following observations on degree of
polymerization for specimens having viscosity times concentration
in a higher range. 429 430 430 431 436 438 440 441 445 446 447
(a) Construct a comparative boxplot for the...
An article contained the following observations on degree of polymerization for paper specimens for which viscosity...
An article contained the following observations on degree of
polymerization for paper specimens for which viscosity times
concentration fell in a certain middle range:
420 425 427 427 432 433 434 437 439 446 447 448 453 454 465
469
Suppose the sample is from a normal population.
(a) Calculate a 95% confidence interval for the population mean,
and interpret it.
(b) Calculate a 95% upper confidence bound for the population
mean, and interpret it.
An article contained the following observations on degree of polymerization for paper specimens for which viscosity...
An article contained the following observations on degree of
polymerization for paper specimens for which viscosity times
concentration fell in a certain middle range:
415
421
422
422
425
427
430
435
436
439
446
446
448
453
457
462
464
(a) Construct a boxplot of the data.
Comment on any interesting features. (Select all that apply.)
The data appears to be centered near 428.There are no
outliers.The data appears to be centered near 438.There is one
outlier.There is little...
Consider the following observations on a receptor binding measure (adjusted distribution volume) for a sample of...
Consider the following observations on a receptor binding
measure (adjusted distribution volume) for a sample of 13 healthy
individuals: 22, 39, 40, 42, 43, 46, 52, 58, 63, 66, 68, 70,
73.
(a)
Is it plausible that the population distribution from which this
sample was selected is normal?
( yes or no) , it ( is or is not)
plausible that the population distribution is normal.
(b)
Calculate an interval for which you can be 95% confident that at
least...
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