Populations shifts in a certain city follow a particular pattern every year. If a person is living in the city they will stay in the city 0% of the time, move to the suburbs 50% of the time, and move out-of-state 50% of the time. If a person is living in the suburbs, they will move into the city 20% of the time, stay in the suburbs 30% of the time, and move out-of-state 50% of the time. If the person lives out-of-state, they will move to the city 10% of the time, move to the suburbs 80% of the time, and stay out-of state 10% of the time. In the long-run, what is the probability that a person will live out-of-state?
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.
Populations shifts in a certain city follow a particular pattern every year. If a person is living in the city they will stay in the city 0% of the time, move to the suburbs 50% of the time, and move out-of-state 50% of the time. If a person is living in the suburbs, they will move into the city 20% of the time, stay in the suburbs 30% of the time, and move out-of-state 50% of the time. If the person lives out-of-state, they will move to the city 10% of the time, move to the suburbs 80% of the time, and stay out-of state 10% of the time. In the long-run, what is the
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