In a survey of 210 professional athletes, it was found that 95 of them owned a convertible, 98 of them owned a giant screen TV, and 98 owned a sporting goods store. 22 owned a convertible and a store, 38 owned a TV and a store, and 49 owned a covertible and a TV. 12 owned all three items. 1. How many athletes did not own any of the three items? 2. How many owned a covertible and a TV, but not a store? 96 3. How many athletes owned a convertible or a TV? 4. How many athletes owned exactly one type of item in the survey? 5. How many athletes owned at least one type of item in the survey? 6. How many owned a TV or a store, but not a convertible?
In a survey of 210 professional athletes, it was found that 95 of them owned a convertible, 98 of them owned a giant screen TV, and 98 owned a sporting goods store. 22 owned a convertible and a store, 38 owned a TV and a store, and 49 owned a covertible and a TV. 12 owned all three items. 1. How many athletes did not own any of the three items? 2. How many owned a covertible and a TV, but not a store? 96 3. How many athletes owned a convertible or a TV? 4. How many athletes owned exactly one type of item in the survey? 5. How many athletes owned at least one type of item in the survey? 6. How many owned a TV or a store, but not a convertible?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 27PPS
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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