# Question

Ronald Fisher, an English statistician (1890–1962), collected measurements for a sample of 150 irises. Of concern were the following variables: species, petal width (PW), petal length, sepal width (SW), and sepal length (all in mm). (Sepals are the outermost leaves that encase the flower before it opens.) The goal of Fisher’s experiment was to produce a simple function that could be used to classify flowers correctly. A sample of his data follows.

a. Is there a significant difference in the mean petal width for the three species? Use a 0.05 level of significance.

b. Is there a significant difference in the mean sepal width for the three species? Use a 0.05 level of significance.

c. How could Fisher use these outcomes to help him classify irises into the correct species?

a. Is there a significant difference in the mean petal width for the three species? Use a 0.05 level of significance.

b. Is there a significant difference in the mean sepal width for the three species? Use a 0.05 level of significance.

c. How could Fisher use these outcomes to help him classify irises into the correct species?

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