Suppose the percent of licensed U.S. drivers (from a recent year) that are female is 48.40. Of the females, 5.56% are age 19 and under; 81.55% are age 20-64; 12.89% are age 65 or over. Of the licensed U.S. male drivers, 6.06% are age 19 and under; 81.94% are age 20-64; 12% are age 65 or over. Suppose that 10,000 U.S. licensed drivers are randomly selected. a.How many drivers would you expect to be male? drivers b.sing a tree diagram of the given situation, construct a contingency table of gender versus age group. (Round your answers to the nearest whole number.) 19 and under 20-64 65 and over Total Female Male Total 10,000 c) Using a contingency table, find the probability that out of the age 20-64 group, a randomly selected driver is female. (Round your answer to two decimal places.)
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.
Suppose the percent of licensed U.S. drivers (from a recent year) that are female is 48.40. Of the females, 5.56% are age 19 and under; 81.55% are age 20-64; 12.89% are age 65 or over. Of the licensed U.S. male drivers, 6.06% are age 19 and under; 81.94% are age 20-64; 12% are age 65 or over.
Suppose that 10,000 U.S. licensed drivers are randomly selected.
a.How many drivers would you expect to be male?
drivers
b.sing a tree diagram of the given situation, construct a
| 19 and under | 20-64 | 65 and over | Total | |
|---|---|---|---|---|
| Female | ||||
| Male | ||||
| Total | 10,000 |
c) Using a contingency table, find the
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