7% of messages on Jmes.com have objectionable material. This means that if we randomly select a Jmes.com message there is a probability 0.07 that the message will be objectionable. Whether one message has objectionable material is independent of whether any other message has objectionable material. Suppose we randomly select Jmes.com messages, one by one. Let X = the number of non-objectionable messages we select until we select our 1st objectionable message. Let Y = the number of non-objectionable messages we select until we select our 3rd objectionable message. a. What is the probability that the 1st two messages selected are non-objectionable? b. What is the expected value of X? c. What is the variance of X? d. What is the probability that X > 13? e. What is the probability that X ≤ 13? f. What is the probability that Y = 40? g. What is the probability that Y ≤ 40? Add any comments below.
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.
About 7% of messages on Jmes.com have objectionable material. This means that if we randomly select a Jmes.com message there is a
a. What is the probability that the 1st two messages selected are non-objectionable?
b. What is the
c. What is the variance of X?
d. What is the probability that X > 13?
e. What is the probability that X ≤ 13?
f. What is the probability that Y = 40?
g. What is the probability that Y ≤ 40?
Add any comments below.
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