Green Belt Question Paper

Green Belt Question Paper

Name of the Candidate:

Max Marks: 50

Email Address: Batch:

Repeat: Yes /No Date:

Note: Candidates are requested to encircle the correct option for the theoretical questions. For numerical questions they should show the calculations on the sheets provided.

Questions:

1. The person who is responsible for cultural change in the organization

a) Green Belt

b) Black Belt

c) Master Black Belt

d) Champion

2. Master Black Belts are persons who are called

a) Change Agents

b) Resource Persons

c) Knowledge Bank

d) Project Owners

3. The defects for parts per million corresponding to a sigma level of 5 is

a) 233

b) 6210

c) 240

d) 6011

4. The normal distribution is also called

a) Erlang distribution

b) Gauss distribution

c) Gamma distribution

d) Rayleigh distribution

5. The spread of any process is

a) Six Sigma

b) Four Sigma

c) Tewlve Sigma

d) Two Sigma

6. The area under the normal curve between +3 Sigma and -3 Sigma limits is

a) 95%

b) 99.73%

c) 68%

d) 79.4%

7. The Kano model ensures that the customer is satisfied regarding his

a) Basic need

b) Expectation

c) Stated needs

d) Implied needs

8. If the customer does not give the specification then the limits are calculated by using the formula

a) + 3 , - 3

b) + 3 + / n, - 3 - / n

c) + 6 , - 6

d) + 6 , - 4

9. The distribution followed in the NP chart is binomial because each decision

follows

a) Binomial distribution

b) Beta distribution Type 1

c) Bernoulli distribution

d) Beta distribution Type 2

10. The U chart is based on

a) Binomial distribution

b) Beta distribution

c) Poisson distribution

d) Normal distribution

11. The measurement system analysis is said to be ineffective if total gauge R and R

is more than

a) 80%

b) 50%

c) 95%

d) 90%

12. The correlation coefficient should lie between

a) -0.5 and +0.5

b) 2.5 and + 2.5

c) 3 and +3

d) -1 and +1

13. If the relationship between two variables is strongly negative then the correlation

coefficient will be a value near to

a) -3

b) -1

c) -0.5

d) -2.5

14. If the anova for regression shows that the lack of it is significant then the model is

a) Adequate

b) Iinadequate

c) More complex model is adequate

d) A simpler model is adequate

15. Pure error in regression is estimated from value of Y for

a) Same setting of the X1, X2, .,Xk variables

b) Combination setting of the X1, X2, ,Xk variables

c) Setting of X1, X2, ..,Xk variables keeping setting of X1 fixed

d) Setting of X1, X2, .., Xk variables keeping one variable fixed at random.

16. Transformation of data is required when data shows

a) Presence of outlier

b) Bimodal Histogram

c) Non- normal Distribution

d) Exponential Distribution

17. The transformation done on the data if the data shows cyclic pattern is

a) Sine Inverse

b) Square root

c) Square

d) Logarithm

18. Six Sigma emphasizes on the role of

a) Line Managers

b) Agents

c) Teams

d) Individuals

19. The going is tough after one has achieved a sigma level of

a) 3

b) 5

c) 2

d) 4

20. The word breakthrough was coined by

a) Shewhart

b) Juran

c) Demming

d) Bill Smith

21. The area under the curve between 1 and 2 of a process with mean 0.5 and

Standard deviation 0.2. Show the computation (process follows normal distribution).

22. Do the measurement system analysis for the following data:

PartsAgents

123

111.51010.5

11110.99.5

210.59.210

210.79.310.1

35.254.5

354.24

44.13.55

47.25.55.2

56.25.54.5

55.25.54.3

23. Draw an appropriate control chart for the data given below and write the

interpretation.

Sub GroupSample SizeNo. of Defective Log Sheets

12015

22013

3209

42012

5200

62019

72013

82015

92014

10207

11208

12200

132010

142011

15209

24. 100 tickets were sampled out and inspected for accuracy of information. The number of opportunities in which the ticket could be called defective is 5. The total number of defects found in these 100 tickets is 10. Calculate the sigma level of the process from which the sample was taken and establish your goals.

25. The following data set has a particular pattern. Identify the pattern and calculate

its mean.

10, 5, 2.5, 1.25, 0.625, 0.3125, 0.15625.