Workers in households with zero vehicles 5, 138, 372 Workers in households exceeds vehicles 12, 357, 761 Workers in households equals vehicles 66, 463, 188 Vehicles exceed workers in households 67, 413, 776 Total 151, 370, 000 Assume that the sample fairly represents workers in the United States use the sample proportions in each category as probabilities and create a probability model for Workers and Vehicles (round probabilities to three decimal places) Im sorry i just am not understanding this question
Workers in households with zero vehicles 5, 138, 372 Workers in households exceeds vehicles 12, 357, 761 Workers in households equals vehicles 66, 463, 188 Vehicles exceed workers in households 67, 413, 776 Total 151, 370, 000 Assume that the sample fairly represents workers in the United States use the sample proportions in each category as probabilities and create a probability model for Workers and Vehicles (round probabilities to three decimal places) Im sorry i just am not understanding this question
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 33E: Sick leave probability that a given worker at Dyno Nutrition Will call in sick on a Monday is 004....
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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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Workers in households with zero vehicles | 5, 138, 372 |
Workers in households exceeds vehicles | 12, 357, 761 |
Workers in households equals vehicles | 66, 463, 188 |
Vehicles exceed workers in households | 67, 413, 776 |
Total | 151, 370, 000 |
Assume that the sample fairly represents workers in the United States use the sample proportions in each category as probabilities and create a probability model for Workers and Vehicles (round probabilities to three decimal places) Im sorry i just am not understanding this question
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