Maddy waits tables and has determined that 12% of her tables leave her 12 percent tip, 30% of her tables leave her 15 percent tip, 48% of her tables leave her 18 percent tip, and 10% of her tables leave her 20 percent tip. Fill in the table of values below to find the expected percentage of tips that Maddy receives. (Enter X as a whole number, P(X) as a decimal with two decimal digits, and X*P(X) as a decimal with two decimal digits...THANK YOU) X1 = P(X1) = X1*P(X1) = X2 = P(X2) = X2*P(X2) = X3 = P(X3) = X3*P(X3) = X4 = P(X4) = X4*P(X4) =
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.
Maddy waits tables and has determined that 12% of her tables leave her 12 percent tip, 30% of her tables leave her 15 percent tip, 48% of her tables leave her 18 percent tip, and 10% of her tables leave her 20 percent tip. Fill in the table of values below to find the expected percentage of tips that Maddy receives.
(Enter X as a whole number, P(X) as a decimal with two decimal digits, and X*P(X) as a decimal with two decimal digits...THANK YOU)
X1 = P(X1) = X1*P(X1) =
X2 = P(X2) = X2*P(X2) =
X3 = P(X3) = X3*P(X3) =
X4 = P(X4) = X4*P(X4) =
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