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Data were gathered in an experiment comparing the effects of three insecticides in controlling a certain species of parasitic beetle. Each observation represents the number of such insects found dead in a certain fixed area treated with an insecticide.
Does the data validate the normal probability distribution assumption?
Do contingency table classification values matter?
A multinomial probability distribution describes the distribution of counts across multiple levels of a variable. A special case is the binomial discrete probability distribution. For each level of a variable, which is common to multiple populations, equality of distributions can be tested.
Key:
1. ANOVA
2. Chi-squared test of homogeneity
3. Chi-squared test of independence
4. Chi-square test of goodness of fit
1) Data were gathered in an experiment comparing the effects of three insecticides in controlling a certain species of parasitic beetle. Each observation represents the number of such insects found dead in a certain fixed area treated with an insecticide. - 1) ANOVA
2) Does the data validate the normal probability distribution assumption? - 4) Chi-square test of goodness of fit
3) Do contingency table classification values matter? - 3) Chi-squared test of independence
4) A multinomial probability distribution describes the distribution of counts across multiple levels of a variable. A special case is the binomial discrete probability distribution. For each level of a variable, which is common to multiple populations, equality of distributions can be tested. - 2) Chi-squared test of homogeneity
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