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What conclusion is most correct about the Experimental Design shown here with the response in the far right column?

A.

No factor has enough statistical confidence greater than 95% to have an impact on the response rate

B.

Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more

C.

If the Adv is increased from the low level to the high level, the response rate increases

D.

The response level is statistically concluded to only need the Adv and Bev factors set at the low level to get the largest response rate

E.

This design does not have enough experimental runs to conclude anything as evidenced by the lack of P-values in the MINITABTM output

The _______ is the most frequently occurring value in a distribution of data.

A.

Median

B.

Mean

C.

Mode

D.

Center Point

If an experiment has 5 factors and no replicates for a 2-level Experimental Design with 16 experimental runs which statement(s) are correct? (Note: There are 3 correct answers).

A.

The Main Effects for the 5 factors are not aliased or confounded but the 2-way interactions are confounded with the 3-way interactions

B.

The Main Effects are confounded with only 4-way interactions

C.

The Experimental Design is half-fractional

D.

The experiment has 8 experimental runs with the first factor at the high level

E.

The experiment has only 4 experimental runs with the 5th factor at the high level

When doing Hypothesis Testing on Non-normal data Belts will use a ________________ to compare more than two sample proportions to each other.

A.

Z score Table

B.

Sakami Table

C.

Mean-to-Mode Analysis

D.

Contingency Table

A Factorial Experiment based on a Level 2 Design with 4 factors would require 16 runs to fully assess the interactions.

A.

True

B.

False

A fundamental rule is that both Standard Deviation and Variance can be added.

A.

True

B.

False

A Lean Six Sigma project is attempting to reduce inventory days. The Process Capability will be monitored as part of the Control Phase to track the sustainability of the improvement.

Which distribution type is best used for performing the Capability Analysis?

A.

Weibull Distribution

B.

Normal Distribution

C.

Exponential Distribution

D.

Logistic Distribution

E.

Gaussian Distribution

As a means of measuring the effects on other areas of a process as a result of changes in the primary metric we also define and track ________________.

A.

Parallel process metrics

B.

Secondary metrics

C.

Tertiary metrics

D.

Industry standards

A Process Map is created in order that a Belt can __________________.

A.

Follow the product to the end

B.

Get the line people’s names correct

C.

Capture all the activities comprising the process

D.

Manage the input inventory delivery schedule

Following process modifications, the Null Hypothesis states that no improvement to the process has occurred. If we discover the Null Hypothesis Test was rejected when it was false that would be a(n) ________________________.

A.

Alpha Error

B.

Type I Error

C.

Type II Error

D.

Type III Error