Suppose you have two biased coins, but you don't know which coin is which. Coin 1 comes up heads with probability 3/4, while coin 2 comes up heads with probability 1/3. Suppose you pick a coin at random and flip it. Let Ci denote the event that coin i is picked . Let H and T denote the possible outcomes of the flip. (a) Draw a tree diagram for the experiment. (b) Given that the outcome of the flip is a head, what is P[C2|H], the probability that you picked the second coin? (c) Given that the outcome is a tail, what is the probability P[C1|T] that you picked the first coin?
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 you have two biased coins, but you don't know which coin is which. Coin 1
comes up heads with
Suppose you pick a coin at random and flip it. Let Ci denote the
picked . Let H and T denote the possible outcomes of the flip.
(a) Draw a tree diagram for the experiment.
(b) Given that the outcome of the flip is a head, what is P[C2|H], the probability that you
picked the second coin?
(c) Given that the outcome is a tail, what is the probability P[C1|T] that you picked the
first coin?
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