The table below lists a random sample of 53 speeding tickets on l-25 in Colorado. 0-10 mph over limit| 10-20 mph over limit More than 20 mph over limit Total Male 9. 18 11 38 Female 3 7 15 Total 12 25 16 53 (Note: PLease enter your answer as a decimal number rounded to 4 decimals accuracy , NO FRACTIONS) a) If a random ticket was selected, what would be the probability that the driver was female? b) Given that a particular ticket had a male offender, what is the probability that they were more than 20 mph over the limit? c) Given that a particular ticket was 10-20 mph over the limit, what is the probability that the driver was female?
The table below lists a random sample of 53 speeding tickets on l-25 in Colorado. 0-10 mph over limit| 10-20 mph over limit More than 20 mph over limit Total Male 9. 18 11 38 Female 3 7 15 Total 12 25 16 53 (Note: PLease enter your answer as a decimal number rounded to 4 decimals accuracy , NO FRACTIONS) a) If a random ticket was selected, what would be the probability that the driver was female? b) Given that a particular ticket had a male offender, what is the probability that they were more than 20 mph over the limit? c) Given that a particular ticket was 10-20 mph over the limit, what is the probability that the driver was female?
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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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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