We discuss how to test for an association between two categorical variables in Section 6.8. A marine research team records the number of fish from 3 species that they find at different depth categories in the ocean. They are interested in assessing whether or not there is a relationship between the depth category (close to surface, mid-level, ocean floor) and the fish species found (species A, species B, species C). A two-way table showing the classification of a sample of 150 observations is given below. If the variables for the ocean
We discuss how to test for an association between two categorical variables in Section 6.8. A marine research team records the number of fish from 3 species that they find at different depth categories in the ocean. They are interested in assessing whether or not there is a relationship between the depth category (close to surface, mid-level, ocean floor) and the fish species found (species A, species B, species C). A two-way table showing the classification of a sample of 150 observations is given below. If the variables for the ocean
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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We discuss how to test for an association between two categorical variables in Section 6.8.
A marine research team records the number of fish from 3 species that they find at different depth categories in the ocean. They are interested in assessing whether or not there is a relationship between the depth category (close to surface, mid-level, ocean floor) and the fish species found (species A, species B, species C).
A two-way table showing the classification of a sample of 150 observations is given below.
If the variables for the ocean depth category and the species are independent, how would you calculate the expected number of fish that are at the mid-level and from species C?
Expected number =
Transcribed Image Text:Surface
Mid-level
Ocean floor
Total
Species A
20
13
28
61
Species B
12
31
8
51
Species C
18
6
14
38
Total
50
50
50
150
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