What is the probability that none of the three orders will be filled correctly?
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 that you and two friends go to a restaurant, which last month filled approximately 89.1% of the orders correctly. Complete parts (a) through (e) below
What is the
The probability is___.


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