Six Sigma multiple-choice
questions are based on the NPTEL Six Sigma course which is offered by the IIT
Kharagpur, Prof. Jitesh J Thakkar. Here we include all important questions that
are asked in the various assignments of the Six Sigma. So learners who pursue
or want to pursue the Six Sigma can practice the already asked Six Sigma MCQ
with answers in a very interactive quiz format within the time limit.

The Six Sigma course focus on
detailed strategic and operational issues of process improvement and variation
reduction called Six Sigma. It is used as a measure of quality that strives for
near perfection. Six Sigma (6σ) is actually a set of specific tools and techniques
that are used by the top management for process improvement in an industry or
company.

Six Sigma is the most important
subject of management and is compulsory studied in the Total Quality Management
and Operation management course of MBA Degree. Six Sigma is also studied by the
Statistics students in post-graduate degrees. Six Sigma is studied by graduate
or postgraduate students in the Mechanical Engineering, MBA, and Industrial
Engineering degree courses. It is totally a mathematical statistic and is used
in the Manufacturing and Service Industry.

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**NPTEL Six Sigma Course Layout**

The NPTEL Six Sigma course is
designed with a practical orientation and includes cases, industry examples,
and software applications. The course is very helpful for industry
professionals and University students this is the main reason every year
thousands of fresh new learners enrolled in this course. The content of Six
Sigma is beneficial and fully applicable to both the manufacturing and service
industries.

The Six Sigma course offered by
NPTEL is a 12-week certificate course in which students have to submit 12
assignments per week that contain MCQs on Six Sigma topics studied by the
student every week.

**Week 1:** **QUALITY: FUNDAMENTALS AND
KEY CONCEPTS**

Lecture 1: Brief overview of the
course

Lecture 2: Quality concepts and
definition

Lecture 3: History of continuous
improvement

Lecture 4: Six Sigma Principles
and Focus Areas (Part 1)

Lecture 5: Six Sigma Principles
and Focus Areas (Part 2)

Lecture 6: Six Sigma Applications

**Week 2: QUALITY: FUNDAMENTALS AND KEY CONCEPTS**

Lecture 7: Quality Management:
Basics and Key Concepts

Lecture 8: Fundamentals of Total
Quality Management

Lecture 9: Cost of quality

Lecture 10: Voice of customer

Lecture 11: Quality Function
Deployment (QFD)

Lecture 12: Management and
Planning Tools (Part 1)

Lecture 13: Management and
Planning Tools (Part 2)

**Week 3: DEFINE**

Lecture 14: Six Sigma Project
Identification, Selection, and Definition

Lecture 15: Project Charter and
Monitoring

Lecture 16: Process
characteristics and analysis

Lecture 17: Process Mapping:
SIPOC

**Week 4: MEASURE **

Lecture 18: Data Collection and
Summarization (Part 1)

Lecture 19: Data Collection and
Summarization (Part 2)

Lecture 20: Measurement systems:
Fundamentals

Lecture 21: Measurement systems
analysis: Gage R&R study

Lecture 22: Fundamentals of
statistics

Lecture 23: Probability theory

**Week 5: MEASURE **

Lecture 24: Process capability
analysis: Key Concepts

Lecture 25: Process capability
analysis: Measures and Indices

Lecture 26: Process capability
analysis: Minitab Application

Lecture 27: Non-normal process
capability analysis

**Week 6: ANALYZE **

Lecture 28: Hypothesis testing:
Fundamentals

Lecture 29: Hypothesis Testing:
Single Population Test

Lecture 30: Hypothesis Testing:
Two Population Test

Lecture 31: Hypothesis Testing:
Two Population: Minitab Application

Lecture 32: Correlation and
Regression Analysis

Lecture 33: Regression Analysis:
Model Validation

**Week 7: ANALYZE **

Lecture 34: One-Way ANOVA

Lecture 35: Two-Way ANOVA

Lecture 36: Multi-vari Analysis

Lecture 37: Failure Mode Effect
Analysis (FMEA)

**Week 8: IMPROVE**

Lecture 38: Introduction to
Design of Experiment

Lecture 39: Randomized Block
Design

Lecture 40: Randomized Block
Design: Minitab Application

Lecture 41: Factorial Design

Lecture 42: Factorial Design:
Minitab Application

**Week 9: IMPROVE**

Lecture 43: Fractional Factorial
Design

Lecture 44: Fractional Factorial
Design: Minitab Application

Lecture 45: Taguchi Method: Key
Concepts

Lecture 46: Taguchi Method:
Illustrative Application

**Week 10: CONTROL **

Lecture 47: Seven QC Tools

Lecture 48: Statistical Process
Control: Key Concepts

Lecture 49: Statistical Process
Control: Control Charts for Variables

Lecture 50: Operating
Characteristic (OC) Curve for Variable Control charts

Lecture 51: Statistical Process
Control: Control Charts for Attributes

Lecture 52: Operating
Characteristic (OC) Curve for Attribute Control charts

Lecture 53: Statistical Process
Control: Minitab Application

**Week 11: CONTROL **

Lecture 54: Acceptance Sampling:
Key Concepts

Lecture 55: Design of Acceptance
Sampling Plans for Attributes (Part 1)

Lecture 56: Design of Acceptance
Sampling Plans for Attributes (Part 2)

Lecture 57: Design of Acceptance
Sampling Plans for Variables

Lecture 58: Acceptance Sampling:
Minitab Application

**Week 12: SIX SIGMA IMPLEMENTATION
CHALLENGES**

Lecture 59: Design for Six Sigma
(DFSS): DMADV, DMADOV

Lecture 60: Design for Six Sigma
(DFSS): DFX

Lecture 61: Team Management

Lecture 62: Six Sigma: A case
study

Lecture 63: Six Sigma: Summary of
key concepts

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**Benefits of Six Sigma MCQ with Answers**

There are various national and
international organizations that offer various types of Six Sigma certification
like the Six Sigma White Belt, Yellow Belt, Green Belt, Black Belt Master Black
Belt, etc.

#### You will have 60 second to answer each question.

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After doing the NPTEL Six Sigma course you can easily get these belts and our free online Six Sigma MCQ with answers mock test will be very helpful to get this certificate.

**Disclaimer:** All NPTEL Six Sigma MCQs questions and answers are prepared carefully but we do not guarantee 100% accuracy so please check the answers yourself also because there is the chance of mistyping.