In this blog you will find the correct answer of the Coursera quiz Six Sigma Advanced Analyze Phase Coursera Answer mixsaver always try to brings best blogs and best coupon codes
Week- 1
Hypothesis Testing Graded Quiz
1.
Question 1
If
you want to test the claim that the MTBF of a particular piece of equipment has increased from 1230 operating hours,
what would your null hypothesis be?
1 point
- H0: µ ≤ 1230
- H0: µ > 1230
- H0: µ ≥ 1230
- H0: µ = 1230
2.
Question 2
If
your hypothesis test is: H0: µ ≤ 23.6, H1: µ > 23.6, what
type of test will you need to do?
1 point
- Left-tailed
- Cyclical
- Right-tailed
- Two-tailed
3.
Question 3
While
performing a hypothesis test, you calculate a p-value of 0.05. If the desired
level of significance α = 0.01 then the conclusion is:
1 point
- Reject the null hypothesis because there is no statistical difference.
- Reject the null hypothesis because there is a statistical difference.
- Do not reject the null hypothesis because there is no statistical difference.
- Do not reject the null hypothesis because there is a statistical difference.
4.
Question 4
Suppose we have the following
hypothesis Z-test: A vendor claims their parts are shipped with a measurement
of 1.86 cm. Assume σ = 0.03, n=64,
critical values are ±1.96, and we calculate Z=3.6. What would we conclude?
1 point
- Conclude that 3.6 is outside the critical region, do not reject H0 and state the vendor’s claim is valid.
- Conclude that 3.6 is outside the critical region, reject H0 and state the vendor’s claim is invalid.
- Conclude that 3.6 is outside the critical region, do not reject H0 and state the vendor’s claim is invalid.
- Conclude that 3.6 is outside the critical region, reject H0 and state the vendor’s claim is valid.
5.
Question 5
For a continuous
data, small sample size, calculate the 95% confidence interval for the
population mean. Given: Sample size =
16, average of the samples = 12, df=n-1, and the sample standard deviation is
4.
1 point
- 4.869 ≤ µ ≤ 7.131
- 9.869 ≤ µ ≤ 14.131
- 1.869 ≤ µ ≤ 5.131
- 14.869 ≤ µ ≤ 17.131
Week- 2
Design of Experiments- pt 1 Graded Quiz
1.
Question 1
Which of the following was the origin of Design
of Experiments related to?
1 point
Military operations in the 1910s
Agriculture in the 1920s
Education in the 2010s
Computer science in the 1970s
2.
Question 2
Machine (A,B, or C) and fan speed (high or low)
seem to have an impact on the painting process.
Setting Machine B to fan speed low is an example of what?
1 point
Experimental error
A block
A level
A treatment
3.
Question 3
Machine (A,B, or C) and fan speed (high or low)
seem to have an impact on the painting process.
What is an example of a factor for the study?
1 point
Paint quality
Speed of paint process
Fan speed
Blocking
4.
Question 4
Suppose you want to study the impact of car age
and average speed driven on the tread life of a new brand of tires. What is the outcome you are studying?
1 point
Car age
Tread life
Tire brand
Average speed driven
5.
Question 5
Suppose you want to study the impact of car age
and average speed driven on the tread life of a new brand of tires. What is an example of a factor level you
might study?
1 point
Car less than 1 year old
Tread life greater than 10,000 miles
Interaction effects
Car age and average speed
6.
Question 6
What is the term for when the effect of one
input factor on the output depends on the level of another input factor?
1 point
Main effects
Interactions
Experimental error
Factors
7.
Question 7
If we are studying the impact of employee shift
length on employee errors made in order-picking, what would the dependent
variable be?
1 point
Number of shifts that employees work
Errors made in order-picking
Employee shift length
Number of employees who quit
8.
Question 8
Which of the following is NOT a tool for
reducing the noise in DOE?
1 point
Replication
Randomization
Blocking
Treatments
9.
Question 9
Which of the following in DOE is most closely
related to the concept of sample size in hypothesis testing?
1 point
Factors
Replications
Blocks
Tests
10.
Question 10
Which of the following is a benefit of
randomization when compared to repetition?
1 point
Randomization takes more time
Randomization requires resetting the equipment between tests
Randomization is less complicated
Randomization allows for the variation due to machine setup to be captured
11.
Question 11
What is the term for designing and organizing
the experiment in a way to lessen the effects of special cause variation by
grouping the experiments in batches of tests or runs?
1 point
Confounding
Blocking
Taguchi method
Latin Squares
12.
Question 12
Put the following 4 steps in the correct order
for performing a Design of Experiments:
i. Brainstorm
key factors causing variation in the process
ii. Set
the appropriate levels for each factor
iii. Define
the objective of the experiment
iv. Update
the operations sheet to show the new parameters of operation
1 point
iii,ii,i,iv
i,ii,iii,iv
iii,i,ii,iv
iv,iii,i,ii
Week- 3
Design of Experiments- pt 2 Graded Quiz
1.
Question 1
According to the chart above, what is the value for the high level (+) of the
factor for hours of sleep?
1 point
92.5
79.75
81.4
97
2.
Question 2
According to the chart above, what is the main effect of
factor A?
1 point
22.25
70.25
81.4
92.5
3.
Question 3
According to the chart above, what would the sign for the
interaction (sleepXstudying) term be for run 1?
1 point
Positive (+)
Negative (-)
0
None of the above
4.
Question 4
According to the chart above, what is the interaction effect for AXB?
1 point
83.0
79.75
22.25
3.25
5.
Question 5
Which of the following statements about
confounding is true?
1 point
Variables are confounded if they are difficult to study
Variables are confounded if they are exponentially related
Variables are confounded if the produce the same response
Variables are confounded if their effects cannot be separated in the study performed
6.
Question 6
Which of the following is NOT an assumption for
ANOVA?
1 point
All samples must be randomly selected
The data is approximately normally distributed
The variance must be the same for all treatments.
The means must be the same for all treatments
7.
Question 7
What is the appropriate ratio for testing ANOVA
for one factor?
1 point
MS treatments divided by MS residual (error)
MS residual (error) divided by MS treatments)
SS treatments divided by SS residual (error)
SS residual (error) divided by SS treatment)
8.
Question 8
Which
test would be most appropriate for testing for differences between 4
population means?
1 point
Confidence intervals
Z-test
T-test
ANOVA
9.
Question 9
In a full factorial experiment with 5 factors at
2 levels each, how many trials are required?
1 point
25
10
32
20
10.
Question 10
Which of the following is a good reason for
using a fractional factorial experiment rather than full factorial?
1 point
You have a large budget for the experiment
You are studying a small number of factors
Expert opinion is that only the main factors are of concern in this process
Blocking is needed due to the large amount of noise
11.
Question 11
If we have 4 levels of 3 factors, with 2
replicates of each combination, how many tests would we have?
1 point
24
162
64
128
12.
Question 12
Where does DOE tend to fall in the Six-sigma
cycle?
1 point
Design
Analyze
Control
Measure
13.
Question 13
When selecting the input variables for DOE,
which of the following is NOT a good idea?
1 point
Take the budget into account when choosing the number of factors and replicates
Set no more than 3 levels of each factor
Work with subject matter experts to determine which factors should be included
Use an iterative approach and first screen for the most important factors
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