# Six Sigma Yellow Belt

50 Questions  Settings  Six Sigma is a way in which most corporate use to improve some of their processes. What levels are you when it comes to six sigma? Are you working up for the black belt? The quiz below is perfect for a yellow belt part I, II and III. Give it a try and get to review your understanding as you wait for the next batch of questions.

Related Topics
• 1.
__________________can be measured against a benchmark in a process.
• A.

Performance

• B.

Outcome of the process (Y)

• C.

Operational Efficiency

• D.

All of the above

• 2.
“If P value is >=0.5, then the process is said to be Normal” – Indicate what type of statistics is being used?
• A.

Descriptive

• B.

Inferential

• C.

Expression

• D.

None of the above

• 3.
• A.

Discrete & Attribute

• B.

Discrete & Continuous

• C.

Variable & Continuous

• D.

Continuous & Attribute

• 4.
The Pareto Graph is used to represent ____________ scale of measurement.
• A.

Nominal

• B.

Ordinal

• C.

Ratio

• D.

Interval

• 5.
--------------------- helps to understand Process behavior for parametric distribution.
• A.

Median

• B.

Range

• C.

Mean

• D.

Variance

• 6.
• A.

Geometric Mean

• B.

Median

• C.

Mode

• D.

Arithmetic Mean

• 7.
• A.

Extreme values do not affect the median as strongly as they affect Mean

• B.

A median can be calculated for qualitative descriptions

• C.

Median is easy to understand

• D.

Median can be calculated even for open-ended classes

• 8.
The measure which helps to understand the spread of variation is called as __________
• A.

Quartile 1

• B.

Cpk

• C.

Mode

• D.

Variance

• 9.
The distance between Quartile1 (Q1) and Quartile3 (Q3) is called as __________ and it helps to understand ___________ of process variation.
• A.

Inter Quartile Range and Width

• B.

Quartile Range and Height

• C.

Quartile 2 and Width

• D.

Median and Width

• 10.
Box Plot Graph is used to_______________________ . The choice of answer could be more than one.  [multiple choice]
• A.

Identify outliers

• B.

Differentiate before and after Improvements.

• C.

It is suited for time ordered data and parametric distribution.

• D.

B and C only

• 11.
The Graph which helps to identify and prioritize problems to be solved
• A.

Control Chart

• B.

Histogram Chart

• C.

Fish Bone Graph

• D.

Pareto Chart

• 12.
The Control Chart would help us to determine whether the process is
• A.

Stable

• B.

Capable

• C.

Correlation

• D.

Prediction

• 13.
What kind of Graph would help us to analyze stability of non parametric distribution of data points
• A.

P Chart

• B.

I-mR Chart

• C.

C Chart

• D.

Box Plot

• 14.
If the sample value of sub group size is n=1, choose the appropriate type of control chart for outlier analysis.
• A.

P Chart

• B.

I-mR Chart

• C.

C Chart

• D.

NP Chart

• 15.
If special causes assigned in the process variations, then the UCL and LCL would be recomputed without removing those outliers. (True/False)
• A.

True

• B.

False

• 16.
All the data points lie within UCL & LCL and 10 out of 11 data points on one side of mean value(central limit), indicate whether the process is having____________
• A.

Special causes

• B.

Common causes

• C.

Assignable causes

• D.

Outliers

• 17.
In Control chart interpretations, how many business rules (Shewart Rule’s) will be used to interpret for stable process.
• A.

5 Rules

• B.

7 Rules

• C.

6 Rules

• D.

8 Rules

• 18.
Which of the following tools indicates a relationship between X and Y variables, and provides a visual correlation coefficient.
• A.

Cause (X) and Effect (Y) Diagram

• B.

Pareto Chart

• C.

Scatter Diagram

• D.

Control Chart

• 19.
The data set is having 100 values of effort variance in % for different project releases, indicate what type of distributions would be suited for understanding the process behavior
• A.

Poison

• B.

Binomial

• C.

Normal

• D.

Exponential

• 20.
The area under the curve value is 1, then the mean, median and mode values would be same (True/False)
• A.

True

• B.

False

• 21.
The Organization Specification limits are + 5 or – 5 % where as Control Limits are + 6 % &  -2% , justify whether the Process is
• A.

Stable

• B.

Capable

• C.

Within control

• D.

None of the above

• 22.
A process has its CPk value less than 1. The process is __________ .
• A.

Stable

• B.

Capable

• C.

Not Capable

• D.

None of the above

• 23.
The design and code review effort is high (process is effective) in a project, and it results in less number of defects injected in UAT phase. Identify the appropriate type of correlation between review effort and number of defects. (Assume that “r” value is good).
• A.

Positive Correlation

• B.

Strong Negative Correlation

• C.

Non linear Correlation

• D.

Strong Positive Correlation

• 24.
In a project, defect density increases and Productivity decreases in subsequent releases. Indicate what kind of relationship that you can interpret in this pair (x, y)?
• A.

Weak Positive Correlation

• B.

Strong Negative Correlation

• C.

No relation

• D.

Strong Positive Correlation

• 25.
___________________determines the nature of relationship which would help us to make predictions.
• A.

Correlation Analysis

• B.

Regression Analysis

• C.

Stability Analysis

• D.

Capability Analysis

• 26.
A software development process has UAT Defect density as Y, percent review effectiveness as X1 and percent design phase effort as X2. Indicate the type of  regression model Y= -0.1320 X1 + 0.16 X2 + 23.200
• A.

Single Linear Regression

• B.

Dummy Variable Regression

• C.

Multi Linear Regression

• D.

Logistic Regression

• 27.
• A.

0.3413

• B.

0.4772

• C.

0.1359

• D.

0.8185

• 28.
Three Standard Deviations on left and right side of the mean would include what % of the total data points in Normal Distribution?
• A.

68 %

• B.

97 %

• C.

99 %

• D.

95 %

• 29.
• A.

43.32 %

• B.

68.24 %

• C.

86.64 %

• D.

0%

• 30.
What is the percentage of perfection in a process operating at +/- 3 Sigma level
• A.

99.999660 %

• B.

99.999999. %

• C.

99.976700 %

• D.

3.4 DPMO

• 31.
One of the most popular measures of variability in a data set or population is ______________.
• A.

Dispersion

• B.

Variation

• C.

Mean

• D.

Standard Deviation

• 32.
Which of the below statistical tests helps in decision making based on data inferences?
• A.

Mode

• B.

Hypothesis Test

• C.

Skewness

• D.

Stability Test

• 33.
• A.

Process is stable

• B.

Process is within limits

• C.

Process needs Corrective action over Defects

• D.

Process is influenced by special cause variation

• 34.
In which condition of the following, a data set is a said to be a normal distribution?
• A.

If Cpk Value is > 1

• B.

If R Value between -1 to +1

• C.

If P value < 0.05

• D.

If P value > = 0.05

• 35.
You are a Project Manager wanting to compare on time delivery (%) of Team Leads across 4 teams, your choice of technique would be?
• A.

Hypothesis Testing

• B.

Histograms

• C.

Pareto chart

• D.

Box Plots

• 36.
Post delivery defects are aimed to be < 4. What will be your action, if your Project delivers 10 defects on an average?
• A.

You will Change your Specification limits

• B.

Shift your specification limits to target

• C.

Shift your mean performance within specification limits

• D.

No action required

• 37.
An observation above upper Control limit is concluded as?
• A.

Process special cause variation

• B.

Process common cause variation

• C.

Process performance

• D.

No variation

• 38.
In your project, Review effort (hrs, X) and defect rate (no. of defects per hour, Y) show a negative correlation. It means :
• A.

As Defect rate increases, Review effort also increases

• B.

Negative correlation does not infer any relationship between Review effort and defect Factors

• C.

As Defect Rate decreases, Review effort also decreases

• D.

As Defect Rate increases, Review Effort Hrs decreases

• 39.
What is the outocme of Hypothesis Testing, where P Value > = 0.05 ?
• A.

Accept Alternate Hypothesis

• B.

Reject Null

• C.

Accept Null Hypothesis

• D.

Data is normal

• 40.
If the effort variance of your project shows a negatively skewed normal distribution curve, what will you infer from the following?
• A.

This means that the project is proactively finishing ahead of time

• B.

Project is in control

• C.

Project is influenced by lot of special causes

• D.

None of the above

• 41.
Kano Model depicts the following from the customer, EXCEPT
• A.

Delighters

• B.

Satisfiers

• C.

Must-Be

• D.

Objections

• 42.
Critical to Quality parameters are derived from
• A.

Voice of Customer

• B.

Measure of central tendency

• C.

Data dispersion diagrams

• D.

Regression analysis

• 43.
Voice of Customer is
• A.

A table to collect raw voices of Customers

• B.

A software tool to automatically update customer feedbacks

• C.

First used in Measure phase

• D.

All of the above

• 44.
Cost of quality includes the following except:
• A.

Cost of Appraisal

• B.

Cost of Prevention

• C.

Cost of Change management and external consultancy

• D.

Cost of failures

• 45.
Following have been exponents of Quality evolution except:
• A.

Juran

• B.

Philip Crossby

• C.

Wockhardt

• D.

Deming

• 46.
Which one of the following is not a Process Improvement Methodology
• A.

Lean

• B.

Six Sigma

• C.

Theory of Constraints

• D.

Kano Model

• 47.
Six Sigma is a term used to indicate that there are 6 Standard Deviations below and above the process Mean and within upper and lower specification limits.
• A.

True

• B.

False

• 48.
Quality and the Critical-to-Quality (CTQ’s) are both subjective terms that are defined by the _______________.
• A.

Management team

• B.

Line Supervisor

• C.

Customer

• D.

Design team

• 49.
1. Which of the following are characteristics of the inputs to a process? [Multiple choice]
• A.

These are referred to as the x variables

• B.

These are the "causes" that create the effect

• C.

A process output is a function of its inputs

• D.

None of the above

• 50.
Which of the following Six Sigma tool qualifies Voice of Customer:
• A.

Kano Model

• B.

Control charts

• C.

Regression analysis

• D.

Value stream mapping