Suppose that you have 9 cards. 4 are red and 5 are purple. The cards are well shuffled. You randomly draw two cards without replacement. • R1 = first card drawn is red • R2 = second card drawn is red P(R1 AND R2) = [ Select ] ["0.89", "0.17", "0.12", "0.79"] Round your answer to two decimal places. P(At least one red) = [ Select ] ["0.28", "0.47", "0.65", "0.72"] Round your answer to two decimal places. P(R2|R1) = [ Select ] ["0.38", "0.44", "0.17", "0.89"] Round your answer to two decimal places. Are R1 and R2 independent?
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 have 9 cards. 4 are red and 5 are purple. The cards are well shuffled. You randomly draw two cards without replacement.
• R1 = first card drawn is red• R2 = second card drawn is red
P(R1 AND R2) = [ Select ] ["0.89", "0.17", "0.12", "0.79"] Round your answer to two decimal places.
P(At least one red) = [ Select ] ["0.28", "0.47", "0.65", "0.72"] Round your answer to two decimal places.
P(R2|R1) = [ Select ] ["0.38", "0.44", "0.17", "0.89"] Round your answer to two decimal places.
Are R1 and R2 independent? [ Select ] ["No, they are Dependent.", "Yes, they are Independent."]
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