Mark True or False: a. Let Ω = {ω1, ω2, . . . ωn} be a sample space. Then it must be the case that P(Ω) = 1 b. The number of questions that you answer correctly on this review is an example of a discrete random variable. c. The expected value for a random variable must be a possible value of that random variable. d. The probability of a student randomly guessing answers to a true/false exam is best modeled with a binomial distribution. e. The formula for the binomial probability distribution takes into account only the probability of success not the probability of failure. f. A probability distribution for a discrete variable depicts all possible mutually exclusive events, with the sum of the corresponding probabilities equaling 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.
Mark True or False:
a. Let Ω = {ω1, ω2, . . . ωn} be a
b. The number of questions that you answer correctly on this review is an example of a discrete random variable.
c. The
d. The
e. The formula for the binomial probability distribution takes into account only the probability of success not the probability of failure.
f. A probability distribution for a discrete variable depicts all possible mutually exclusive
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