In the probability distribution to the​ right, the random variable X represents the number of hits a baseball player obtained in a game over the course of a season. Complete parts​ (a) through​ (e) below.   x ​P(x)     0 0.1687     1 0.3356     2 0.2851     3 0.1501     4 0.0368     5 0.0237   ​(a) Verify that this is a discrete probability distribution.   This is a discrete probability distribution because all of the probabilities are at least one of the probabilities is all of the probabilities are between 00 and 11​, ​inclusive, and the sum sum mean product of the probabilities is 11. ​(Type whole numbers. Use ascending​ order.)   ​(b) Compute and interpret the mean of the random variable X.   μx=nothing hits ​(Type an integer or a decimal. Do not​ round.)     ​(c) Compute the standard deviation of the random variable X.   σx=nothing hits ​(Round to three decimal places as​ needed.)

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Q: (d) Compute the standard deviation of the random variable X. %3D hits

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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.