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Chapter 44
Probability and Statistics VIs
Probability and Statistics VI Descriptions
The following Probability and Statistics VIs are available.
1D ANOVA
Takes an array, X, of experimental observations made at various levels of a factor, with at least
one observation per level, and performs a one-way analysis of variance in the fixed effect
model. In the one-way analysis of variance, the VI tests whether the level of the factor has an
effect on the experimental outcome.
Factors and Levels
A factor is a basis for categorizing data. For example, if you count the number of sit-ups
individuals can do, one basis of categorization is age. For age, you might have the following
levels:
Level 0
6 years old to 10 years old
Level 1
11 years old to 15 years old
Level 2
16 years old to 20 years old
Now, suppose that you make a series of observations to see how many sit-ups people can do.
If you take a random sampling of five people, you might find the following results:
Person 1
8 years old (level 0)
10 sit-ups
Person 2
12 years old (level 1)
15 sit-ups
Person 3
16 years old (level 2)
20 sit-ups
Person 4
20 years old (level 2)
25 sit-ups
Person 5
13 years old (level 1)
17 sit-ups
Notice that you have made at least one observation per level. To perform an analysis of
variance, you must make at least one observation per level.
To perform the analysis of variance, you specify an array X of observations, with values 10,
15, 20, 25, and 17. The array Index specifies the level (or category) to which each observation
LabVIEW Function and VI Reference Manual
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