Question
In: Operations Management
An engineer suspects that the surface finish of a metal part is influenced by the feed...
- An engineer suspects that the surface finish of a metal part is influenced by the feed rate and the depth of cut. He selects three feed rates and four depths of cut.
Feed Rate (in/min) 0.20 0.25 0.30
Depth of Cut (in) 0.15 0.18 0.20 0.25
(a) Design a complete factorial experiment for the experimenter.
(b) Now, suppose two machines (A and B) are used to complete the experiment. How would you change the experiments in (a) to avoid Block Effect?
Solutions
keosha answered 5 months agoRelated Solutions
An engineer suspects that the surface finish of a metal part is influenced by the feed...
An engineer suspects that the surface finish of a metal part is
influenced by the feed rate and the depth of cut. He selects three
feed rates and four depths of cut. He then conducts a factorial
experiment and obtains the following data:
Depth of Cut (in)
Feed Rate (in/min)
0.15
0.18
0.20
0.25
74
79
82
99
0.20
64
68
88
104
60
73
92
96
92
98
99
104
0.25
86
104
108
110
88
88
95
99
...
Two Ways ANOVA An engineer suspects that the surface finish of a metal part is influenced...
Two Ways ANOVA
An engineer suspects that the surface finish of a metal part is
influenced by the feed rate and the depth of cut. She selects three
feed rates and four depths of cut. She then conducts a factorial
experiment and obtains the following data: (Use Minitab)
Depth of
Cut (in)
Feed Rate (in/min)
0.15
0.18
0.20
0.25
74
79
82
99
0.20
64
68
88
104
60
73
92
96
92
98
99
104
0.25
86
104
108...
Question 3. - Please do c, d and e An engineer suspects that the surface finish...
Question 3. - Please do c, d and e
An engineer suspects that the surface finish of a metal part is
influenced by the feed rate and the depth of cut of a particular
manufacturing machine. An experiment is conducted and the data can
be found in SurfaceFinish.jmp on eCampus.
a. State the two-way ANOVA model corresponding to this data. Be
sure to define each term in your model and list any assumptions
that are made.
b. Perform the test...
Two quality control technicians measured the surface finish of a metal part. Measurements are in the...
Two quality control technicians measured the surface finish of a
metal part. Measurements are in the following table. Assume that
the data are normally distributed. (a) State and test the
hypothesis that the mean surface finish measurements made by the
two technicians are equal at alpha = 0.05 assuming equal variances.
(b) State and test the hypothesis that the variances are equal at
alpha = 0.05 to verify the assumption of equal variances. Explains
the steps to complete this using...
Two quality control technicians measured the surface finish of a metal part, obtaining the data shown....
Two quality control technicians measured the surface finish of a
metal part, obtaining the data shown. Assume that the measurements
are normally distributed. Use Minitab© for all tests and
calculations.
Tech 1
1.45
1.37
1.21
1.54
1.48
1.29
1.34
*
Tech 2
1.54
1.41
1.56
1.37
1.20
1.31
1.27
1.35
a) Does the normality assumption seem reasonable for the data?
Are the variances equal? How do you know?
b) The supervisor asks you to test the hypothesis that the
difference...
Two quality control t echnicians measured the surface finish of a metal part, obtaining the data...
Two quality control
t
echnicians measured
the surface finish of a metal part, obtaining the data in
Table 4E.1. Assume
that the measurements are normally distributed.
Technician 1: (1.45,
1.37,1.21,1.54,1.48,1.29,1.34)
Technican 2: ( 1.54,
1.41, 1.56, 1.37, 1.20 ,1.31, 1.27, 1.35 )
(d)
Test the hypothesis
that the variances of the measurements made by the two technicians
are equal.
Use What are the
practical implications
if the null hypothesis is rejected?
(e)
Construct a 95%
confidence interval estimate of the...
Consider an experiment with an objective of determining the effects of surface-finish finish & time of...
Consider an experiment with an objective of determining the
effects of surface-finish finish & time of curing on the
strength of a glue bond of two wood pieces. The experiment will be
conducted using a tensile test machine. You are to design this
experiment beginning with the need statement and completing the
function structure.
What is the need statement?
What are 4 functional requirements (high level)?
What are 2nd level requirements for the high level ones
above?
Light striking a metal surface causes electrons to be emitted from the metal via the...
Light striking a metal surface causes electrons to be emitted from the metal via the photoelectric effect.In another experiment, the intensity of the incident light and the temperature of the metal are held constant. Assuming that the initial light incident on the metalsurface causes electrons to be ejected from the metal, what happens if the frequency of the incident light is increased?Check all that apply.The work function of the metal increases.The number of electrons emitted from the metal per second...
In a random sample of 85 automobile engine crankshaft bearings, 10 have a surface finish that...
In a random sample of 85 automobile engine crankshaft bearings,
10 have a surface finish that is rougher than the specifications
allow.
(a) Find a point estimate for the true proportion of crankshaft
bearings that exceeds the roughness specification.
(b) Find a 95% two-sided confidence interval for the proportion of
bearing in the population that exceeds the roughness
specification.
(c) What is the margin of error?
In a random sample of 85 automobile engine crankshaft bearings, 10 have a surface finish that...
In a random sample of 85 automobile engine crankshaft bearings,
10 have a surface finish that is rougher than the specifications
allow.
1. Construct a 95% two-sided confidence interval for the true
proportion of bearings in the population that exceeds the roughness
specification.
2. How large a sample is required if we want to be 95% confident
that the error in using the sample proportion to estimating the
ture value p is less than 5%?
3. How large must the...
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