24. Design of Experiments Flashcards Preview

Six Sigma > 24. Design of Experiments > Flashcards

Flashcards in 24. Design of Experiments Deck (25):
1

Experimental Design

A formal plan that details for conducting an experiment

2

Effect

The relationship between a factor and a response variable.

3

Response variable

The output variable that shows the observed results or value of an experimental treatment.

4

Observed value

A particular value of a response variable

5

Factor

An Independent variable or assignable cause

6

Noise Factor

An independent variable that is difficult or too expensive to control

7

Level

The setting or assignment of a factor at a specific value.

8

Design Space

The multidimensional region of possible treatment combinations formed by the selected factors and their levels.

9

Experimental Error

The variation that occurs in the response variable

10

Experimental Unit

The smallest entity receiving a particular treatment.

11

Treatment

Specifit setting or combination of factor levels.

12

Experimental Run

A single performance of the experiment

13

Factorial Design

Each complete trial or replication of the experiment all possible combinations of the levels of the factors are investigated.

14

Nested Design

Levels of one factor are nested under the levels of another factor.

15

Power and Sample Size

Power increases as the sample size increases (probability of a type II error, beta, decreases).

16

Repetition

The measurement of a response variable more than once under similar conditions.

17

Replication

The entire experiment is performed more than once for a given set of independent variables.

Replication reflects the sources of variability both within and between runs and adds DF.

18

Confounding (Aliasing)

Occurs when factors or interactions are not distinguishable from one another.

19

Order

The sequence in which the runs of an experiment will be conducted.

- Standard order
- Run order (random)

20

Blocking

A collection of experimental units more homogeneous than the full set of experimental units.

Block effect generally means that the method of blocking was appropriate and that an assignable cause has been found.

21

Main Effect

The impact or influence of a single factor on the mean of the response variable.

Factors with the greatest difference between + and - results have the greatest impact

22

Interaction Effect

When the influence of one factor on the response variable depends on one or more other factors

23

Balanced Design

All treatment combinations have the same number of observations

24

Resolution

The level of confounding in a fractional factorial design. Generally one more than the smallest-order interaction with which a main effect is confounded

25

Source Table

A computational table used to analyze an experimental design.