Weekend Sale - Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: sntaclus

All of the following experimental designs could be used to investigate interactions EXCEPT

A.

half-fraction

B.

half-fraction with replication

C.

full-factorial with replication

D.

saturated screening with replication

Which value of x will minimize transmitted noise?

A.

X1

B.

X2

C.

X3

D.

X4

An indication of the experimental error is available because the design has:

A.

multiple replications

B.

multiple levels

C.

multiple factors

Find the value of (12) in the ANOVA table. Assume:

A.

16.4

B.

3.2

C.

18.6

D.

23.2

E.

4.54

F.

12.2

G.

0.525

A population is bimodal with a variance of 5.77. One hundred samples of size 30 are randomly collected and the 100 sample means are calculated. The standard deviation of these sample means is approximately:

A.

5.77

B.

2.40

C.

1.05

D.

0.44

E.

0.19

Find the value of (2) in the ANOVA table. Assume:

A.

16.4

B.

3.2

C.

18.6

D.

23.2

E.

4.54

F.

12.2

G.

0.525

A population of size 1,000,000 has mean 42 and standard deviation 6. Sixty random samples, each of size 15 are selected. According to the Central Limit Theorem the distribution of the sixty sample means has a standard deviation of approximately:

A.

6

B.

6/42

C.

6/15

D.

6/ 15

E.

none of the above

The primary metric for a project is reduced cost for process A. Baseline data might include:

A.

current maintenance costs

B.

current selling price for the products or services output by process A

C.

current suggestions from stakeholders of process A

D.

all the above

E.

none of the above

A team studies a coil steel banding process and makes five changes resulting in productivity improvements of 2%, 2.8%, 2.4%, 2% and 3% respectively. These improvements are best described by which approach to problem solving?

A.

5S

B.

Poka yoke

C.

Kaizen

D.

PDCA

E.

Re-engineering

A random sample is selected from a population of measurements. The mean of the sample is not equal to the mean of the population. This is due to:

A.

Type I error

B.

Type II error

C.

sampling error

D.

the population is not normal

E.

measurements were not exact