At the corner of Texas Ave and University Dr the probability of vehicles of a particular make and color speeding at a given time is recorded. Let F represent a Ford speeding, K if it is a Kia, B if it is a BMW, and R if the colour is red. The probabilities are: P(B) = 0.40 P(F) = 0.24 P(K) = 0.15 P(R) = 0.20 P(B ∩ R) = 0.07 (i) Calculate the probability that a speeding vehicle is either red or a BMW (ii) Calculate the probability that the speeding vehicle is not red. (iii) Using the fact that different vehicle make describes mutually exclusive events, bound the probability that a speeding vehicle is a Chevrolet
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.
At the corner of Texas Ave and University Dr the
P(B) = 0.40 P(F) = 0.24 P(K) = 0.15 P(R) = 0.20 P(B ∩ R) = 0.07
(i) Calculate the probability that a speeding vehicle is either red or a BMW
(ii) Calculate the probability that the speeding vehicle is not red.
(iii) Using the fact that different vehicle make describes mutually exclusive
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