Suppose a flu test has the following results: If a person is healthy, it returns negative 90% of the time If a person is healthy, it returns positive 10% of the time If a person is sick, it returns negative 1% of the time If a person is sick, it returns positive 99% of the time Suppose 4% of people actually have the flu. If a person tests positive for flu, what’s the probability they are actually sick?
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 a flu test has the following results:
If a person is healthy, it returns negative 90% of the time
If a person is healthy, it returns positive 10% of the time
If a person is sick, it returns negative 1% of the time
If a person is sick, it returns positive 99% of the time
Suppose 4% of people actually have the flu. If a person tests positive for flu, what’s the
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