Consider the following probability distribution for y = the number of broken eggs in a carton: y 0 1 2 3 4 p(y) 0.65 0.20 0.10 0.04 0.01 a. Calculate and interpret µy. b. In the long run, for what percentage of cartons is the number of broken eggs less than µy? Does this surprise you? c. Why doesn’t Explain. µy=(0+1+2+3+4)/5=2.0?
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.
Consider the following probability distribution for y = the number of broken eggs in a carton:
y 0 1 2 3 4
p(y) 0.65 0.20 0.10 0.04 0.01
a. Calculate and interpret µy.
b. In the long run, for what percentage of cartons is the number of broken eggs less than µy? Does this surprise you?
c. Why doesn’t Explain. µy=(0+1+2+3+4)/5=2.0?
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