# Six Sigma Tools for Analyze Quiz

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## Week- 1

### Measurement System Analysis Practice Graded Quiz

1.
Question 1
What does Calibration really accomplish?

1 point

• A preference of using a gage as opposed
to using other measuring devices
• The closeness of repeated readings to the
standard
• Helps align the true value with the observed value within the process.
• The observed average of measurements from
a gage

2.
Question 2
An Observed Variation has two sources:
Actual and Measurement

1 point

• True
• False

3.
Question 3
Gage Stability is the drift in the absolute output of a measurement device over time.

1 point

• False
• True

4.
Question 4
What is not a source of variation?

1 point

• Checking for the mean drift is the same as
variation
• Other sources such as environmenta
• The measuring device itself
• The operator conducting the measurements

5.
Question 5
Accuracy is how close the agreement is
between the mean of one or more measured results to that of a reference or
standard value

1 point

• True
• False

6.
Question 6
If you see a tolerance of plus or minus 5 thousandths of an inch in a drawing, what is this referring to?

1 point

• Accuracy
• Precision

7.
Question 7
Repeatability and Reproducibility are a part of…..

1 point

• Operator variability
• Gage variability
• Actual variability

8.
Question 8
Total variability is the sum of the part-to-part variability (or actual variability) and the measurement variability.

1 point

• True
• False

## Week- 2

### Process Analysis Tools

1.
Question 1
Failure Mode and Effects Analysis is a
relatively new quality tool.

1 point

True

False

2.
Question 2
Risk Management is a critical part of:

1 point

ISO 9000/2015

The Malcolm Baldrige Framework for Performance

Any Quality System

All of the above

3.
Question 3
FMEA is typically done by an individual expert
working alone.

1 point

True

False

4.
Question 4
Why do we need to talk to our customers when doing
FMEA?

1 point

To determine if they are satisfied

To determine their needs and wants

To learn how they intend to use our product

To determine if they are engaged

## Week- 3

### Root Cause Analysis Graded Quiz

1.
Question 1
A Prioritization Matrix may be used by a team to
decide among options.

1 point

True

False

2.
Question 2
The use of the Prioritization Matrix can be described
as

1 point

An exercise that is both qualitative and
quantitative

A quantitative exercise that may feel
qualitative.

An exercise that is neither qualitative nor
quantitative.

A qualitative exercise that may feel
quantitative.

3.
Question 3
When using a Prioritization Matrix a decision is
reached:

1 point

Through a series of team discussions, guided by
the score.

By selecting the option with the lowest score

By selecting the option with the highest score

All of the above

4.
Question 4
In a Prioritization Matrix, the criteria are
determined:

1 point

By the team

By external standards

By company policy

All of the above

5.
Question 5
A priority Matrix should have:

1 point

The number of options and criteria that suit the
problem

Four options and four criteria

Four options and three criteria

Three options and four criteria

## Week- 4

### Data Analysis Graded Quiz

1.
Question 1
Which of the images below is left-skewed?

1 point 2.
Question 2
Suppose the time to answer calls by a customer
service center are normally distributed with a mean of 2 minutes and a standard
deviation of 0.5 minutes. Estimate the percentage of calls that will take
longer than 3.5 minutes to answer.

1 point

49.9%

50.14%

99.9%

0.14%

3.
Question 3
Suppose the time to answer calls by a customer
service center are normally distributed with a mean of 2 minutes and a standard
deviation of 0.5 minutes. Estimate the percentage of calls that will take
between 2.5 and 3.0 minutes to answer.

1 point

97.7%

86.5%

13.5%

84.1%

4.
Question 4
Which of the following is NOT a requirement to
model with the binomial distribution?

1 point

A constant probability of
success between

A discrete random variable

Exactly two possible states
for the random variable

Less than 25 trials

5.
Question 5
Which of the following COULD be modeled using
the binomial distribution?

1 point

The probability of getting
exactly 12 odd numbers when rolling a fair die 20 times.

The probability of exactly
1 defect when taking a sample of size 4 from a lot of size 40 that is known to
be 5% defective. <the population size is less than 50

The number of times you
flip a fair coin before getting 3 heads <this does not have a set number of
trials

The number of each type of value meal at McDonalds ordered from the first 100 cars <this does not have two states

6.
Question 6
Suppose that a sample of size 10 is randomly
chosen from a batch of size 100 that is known to be 8% defective. What is the probability that there is exactly
two defective items in your sample?

1 point

.009

.148

.378

.102

7.
Question 7
Which of the following is
true about variation:

1 point

Control charts are used to recognize special cause variation when it occurs so that appropriate action is taken

Common cause variation are
events that can be controlled if made aware of

Special cause variation can
exist in a process that is in statistical control

Special cause variation is
inherent to the process and cannot be controlled

8.
Question 8
The impact of a defective batch of raw material
on the variability in a process would be characterized as what type of
variation?

1 point

Bivariate

Special cause

Unimodal

Common cause