1 hypothesis testing goodness-of-fit & independence chi-squared tests
TRANSCRIPT
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Hypothesis Testing
Goodness-of-fit & Independence Chi-Squared Tests
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Goodness-of-fit Test
A managed forest has the following distribution of trees:
Douglas Fir 54%
Ponderosa Pine 40%
Grand Fir 5%
Western Larch 1%
Mannan & Meslow (1984) made 156 observations of foraging by red-breasted nuthatches and found the following:
Mannan, R.W., and E.C. Meslow. 1984. “Bird populations and vegetation characteristics in managed and old-growth forests, northeastern Oregon.” J. Wildl. Manage. 48: 1219-1238.
Douglas Fir 70
Ponderosa Pine 79
Grand Fir 3
Western Larch 4
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Hypotheses
Do the birds forage randomly, without regard to what species of tree they are in? To be true, the observed and expected distributions should be alike.
Null: The distributions are alike (good fit, meaning birds forage randomly)
Alternate: The distributions are different (lack of fit, or birds prefer certain vegetation)
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Expected Values
Based on the percentage distribution of trees, the expected counts for each type (out of 156) are:
Douglas Fir 84.24
Ponderosa Pine 62.40
Grand Fir 7.80
Western Larch 1.56
(54% of 156 = 84.24)
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Chi-Square Statistic
Expected Observed o-e (o-e)Sq(o-e)Sq/
e
Douglas Fir
84.24 70 -14.24 202.78 2.41
Ponderosa Pine
62.40 79 16.60 275.56
4.42
Grand Fir
7.80 3 -4.80 23.04 2.95
Western Larch 1.56 4 2.44 5.95 3.82
156.00 156Chi-square
= 13.593
p-value = 0.003514For p-value in Excel, type =CHIDIST(13.593,3),
for 3 degrees of freedom (n groups -1)
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Conclusion
Given the small p-value, we reject the null. These birds are not foraging randomly – they prefer certain types of trees.
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Test of Independence
Demographic data on 111 students is available. We wish to study gender differences, in this case pertaining to dog ownership.
Data Set: StudentVariables: Gender, Dog (Yes/No)
Are Gender and Dog Ownership independent of each other?
No
Dog
Have
Dog
Female 29 23
Male 35 24
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The Hypotheses
Null: The two variables are independent of each other (the occurrence of one does not influence the probability of the occurrence of the other.)
Alternate: They are not independent (one influences the other)
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Chi Square Test Results
Tabulated statistics: Gender, Dog
Rows: Gender Columns: Dog
No Yes All
Female 29 23 52 29.98 22.02 52.00
Male 35 24 59 34.02 24.98 59.00
All 64 47 111 64.00 47.00 111.00
Cell Contents: Count Expected count
Pearson Chi-Square = 0.143, DF = 1, P-Value = 0.705Likelihood Ratio Chi-Square = 0.143, DF = 1, P-Value = 0.705