Consider the following contingency table: Tea Coffee Not coffee 17 56 Not tea 72 826 You are trying to determine whether there is a correlation between the purchase of coffee and the purchase of tea, and you calculated the cosine measure and the Kulczynski measure. Which of the following is true about these two measures? Choose all that apply. a. Both measures indicate there is a positive correlation. Ob. Both measures indicate there is a negative correlation. Oc Cosine measure is smaller than Kulczynski measure. d. Cosine measure is greater than Kulczynski measure.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Consider the following contingency table:
Tea
Coffee Not coffee
17
56
Not tea 72
826
You are trying to determine whether there is a correlation between the purchase of coffee and the purchase of tea, and you calculated the cosine measure and the Kulczynski
measure. Which of the following is true about these two measures? Choose all that apply.
a. Both measures indicate there is a positive correlation.
Ob. Both measures indicate there is a negative correlation.
Oc Cosine measure is smaller than Kulczynski measure.
d. Cosine measure is greater than Kulczynski measure.
Transcribed Image Text:Consider the following contingency table: Tea Coffee Not coffee 17 56 Not tea 72 826 You are trying to determine whether there is a correlation between the purchase of coffee and the purchase of tea, and you calculated the cosine measure and the Kulczynski measure. Which of the following is true about these two measures? Choose all that apply. a. Both measures indicate there is a positive correlation. Ob. Both measures indicate there is a negative correlation. Oc Cosine measure is smaller than Kulczynski measure. d. Cosine measure is greater than Kulczynski measure.
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