Replication means taking more than one response measurement at some or all levels of a factor. In two-factor situations, replication can be represented in the data entry table by identifying more than one row or column with the same factor level.
For example, suppose you measured a response at various combinations of temperature and pressure, taking two measurements at each temperature:
|
|
|
high | Pressure medium | low |
|---|---|---|---|---|
| high | 111 |
|
|
|
|
|
115 | 93 | 65 | |
| Temperature | medium | 101 | 87 | 53 |
|
|
|
103 | 92 | 53 |
| low | 102 | 79 | 42 | |
|
|
|
101 | 88 | 47 |
Name for response variable: [ RESPONSE ]
Factor: PRESSURE x Char o Num
Levels: HIGH MEDIUM LOW _______ _______
Factor: Levels: +---------+---------+---------+---------+---------
TEMP HIGH | 111 | 96 | 62 | _______ | _______ |
+---------+---------+---------+---------+---------+
x Char HIGH | 115 | 93 | 65 | _______ | _______ |
o Num +---------+---------+---------+---------+---------+
MEDIUM | 101 | 87 | 53 | _______ | _______ |
+---------+---------+---------+---------+---------+
MEDIUM | 103 | 92 | 53 | _______ | _______ |
+---------+---------+---------+---------+---------+
LOW | 102 | 79 | 42 | _______ | _______ |
+---------+---------+---------+---------+---------+
LOW | 101 | 88 | 47 | _______ | _______ |
+---------+---------+---------+---------+---------+