Question

Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 10 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST = 10,850; SSTR = 4,560.

- Set up the ANOVA table for this problem (to 2 decimals, if
necessary). Round
*p*-value to four decimal places.

Source of Variation Sum of Squares Degrees of Freedom Mean Square *F**p*-valueTreatments Error Total

Answer #1

P-value is calculate from degrees of freedom 2 and 27 at 5% significance level.

Three different methods for assembling a product were proposed
by an industrial engineer. To investigate the number of units
assembled correctly with each method, 30 employees were randomly
selected and randomly assigned to the three proposed methods in
such a way that each method was used by 10 workers. The number of
units assembled correctly was recorded, and the analysis of
variance procedure was applied to the resulting data set. The
following results were obtained: SST = 10,810; SSTR =...

Three different methods for assembling a product were proposed
by an industrial engineer. To investigate the number of units
assembled correctly with each method, 30 employees were randomly
selected and randomly assigned to the three proposed methods in
such a way that each method was used by 10 workers. The number of
units assembled correctly was recorded, and the analysis of
variance procedure was applied to the resulting data set. The
following results were obtained: ; SST= 10,810; SSTR=4590
a....

Three different methods for assembling a product were proposed
by an industrial engineer. To investigate the number of units
assembled correctly with each method, 39 employees were randomly
selected and randomly assigned to the three proposed methods in
such a way that each method was used by 13 workers. The number of
units assembled correctly was recorded, and the analysis of
variance procedure was applied to the resulting data set. The
following results were obtained: SST = 13,490; SSTR =...

Three different methods for assembling a product were proposed
by an industrial engineer. To investigate the number of units
assembled correctly with each method, 42 employees were randomly
selected and randomly assigned to the three proposed methods in
such a way that each method was used by 14 workers. The number of
units assembled correctly was recorded, and the analysis of
variance procedure was applied to the resulting data set. The
following results were obtained: SST = 13,960; SSTR =...

You may need to use the appropriate technology to answer this
question.
Three different methods for assembling a product were proposed
by an industrial engineer. To investigate the number of units
assembled correctly with each method, 30 employees were randomly
selected and randomly assigned to the three proposed methods in
such a way that each method was used by 10 workers. The number of
units assembled correctly was recorded, and the analysis of
variance procedure was applied to the resulting...

In an experiment designed to test the output levels of three
different treatments, the following results were obtained: SST= 420
SSTR=150 NT=19. Set up the ANOVA table and test for any significant
difference between the mean output levels of the three treatments.
Use A=.05.
Source
of Variation
Sum
of Squares
Degrees
of Freedom
Mean Square
(to 2 decimals)
(to 2 decimals)
-value
(to 4 decimals)
Treatments
150
Error
Total
420
The P-value is - Select your answer -less than .01between...

In an experiment designed to test the output levels of three
different treatments, the following results were obtained: SST =
320, SSTR = 130,
nT = 19.
Set up the ANOVA table. (Round your values for MSE and
F to two decimal places, and your p-value to four
decimal places.)
Source
of Variation
Sum
of Squares
Degrees
of Freedom
Mean
Square
F
p-value
Treatments
Error
Total
Test for any significant difference between the mean output
levels of the three treatments....

The following data were obtained for a randomized block design
involving five treatments and three blocks: SST = 510, SSTR = 370,
SSBL = 95. Set up the ANOVA table. (Round your value for F
to two decimal places, and your p-value to three decimal
places.)
Source
of Variation
Sum
of Squares
Degrees
of Freedom
Mean
Square
F
p-value
Treatments
Blocks
Error
Total
Test for any significant differences. Use α = 0.05.
State the null and alternative hypotheses.
H0: Not...

An amusement park studied methods for decreasing the waiting
time (minutes) for rides by loading and unloading riders more
efficiently. Two alternative loading/unloading methods have been
proposed. To account for potential differences due to the type of
ride and the possible interaction between the method of loading and
unloading and the type of ride, a factorial experiment was
designed. Use the following data to test for any significant effect
due to the loading and unloading method, the type of ride,...

An amusement park studied methods for decreasing the waiting
time (minutes) for rides by loading and unloading riders more
efficiently. Two alternative loading/unloading methods have been
proposed. To account for potential differences due to the type of
ride and the possible interaction between the method of loading and
unloading and the type of ride, a factorial experiment was
designed. Use the following data to test for any significant effect
due to the loading and unloading method, the type of ride,...

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