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DMAIC - Measure Tools

Total questions: 10

Worksheet time: 11mins

Name
Class
Date
1.

Reject Porosity Machine A : 10,15,12,10,14,13

Reject Porosity Machine B : 7,8,4,6,7


What kind of data at that sample ?

a)

Discrete

b)

Continuous

c)

Binomial

d)

Attribute

2.

We have a several data available for measurement such as : reject document, cost/unit, checking time, customer satisfaction, lead time and cost profit. Which are output data measures category ? This is multiple answer...

a)

Checking time

b)

Lead time

c)

Cost/unit

d)

Customer satisfaction

3.

Helps to focus the project on critical view, speed up the search for root causes, generate a deeper understanding of process factor are purpose of ?

a)

Measurement selection matrix

b)

Sampling basic

c)

Stratification factors

d)

Data collection planning

4.

Which pictures that represent a population sampling rather than process sampling ? This is multiple answer

a)
b)
c)
d)
5.

When your average doesn't figure out the actual situation, these statement is correct, except ...

a)

Your measurement has low accuracy

b)

There are a bias in your measurement

c)

Your measurement system inaccurate

d)

Your sample is not enough

6.

We have a hypothesis that sales of motorcycle will increase average 8% this year with confidence level 95%. When we find actual average sales only 2% what is your best opinion ?

a)

The hypothesis is rejected

b)

The hypothesis is accepted

c)

Measurement System inaccurate

d)

Confidence level is too high

7.

When we use Kappa ?

a)

Continuous data

b)

Discrete data

c)

Continuous & Discrete data

d)

Only when bias happen

8.

According to this figure. What is your conclusion ? This is multiple answer...

a)

Kappa value can't be accepted

b)

Kappa value higher measurement value

c)

Those items differently too often

d)

All answer are correct

9.

Which picture that represent accurate but not precise measurement ?

a)
b)
c)
d)
10.

Typical sources of bias include, except :

a)

Self selection

b)

Missing key representatives

c)

Type of data

d)

Grouping