MCQs Discrete Probability Distributions 7

The post is about MCQs Discrete Probability Distributions. There are 20 multiple-choice questions about discrete probability distributions covering distributions such as Binomial Probability Distribution, Bernoulli Probability Distribution, Poisson Probability Distribution, Poisson Probability, Distribution, Geometric Probability Distribution, and Hypergeometric Probability Distribution. Let us start with the MCQs Discrete Probability Distributions Quiz.

MCQs Discrete Probability Distributions

• For a binomial distribution which of the following is true
• The number of possible outcomes in a Bernoulli trial is
• The mean and mode of the Binomial distribution are equal if
• The hypergeometric random variable is a
• The parameters of hypergeometric distribution are
• The probability of success changes from trial to trial in
• The probability of success does not change from trial to trial in
• The successive trials are without replacement in
• Which of the following could never be described by the Binomial distribution?
• If $X$ is the number of trials for the negative binomial distribution with parameters $p$ and $k$ then its minimum value is
• For a given binomial distribution with $n$ fixed if $p=0.5$ then
• The necessary and sufficient condition of the hypergeometric distribution is
• Which of the following is the most reasonable condition for the binomial approximation to the hypergeometric distribution?
• Suppose, we have a Poisson distribution with $\lambda$ equal to 2 then the probability of having exactly 10 occurrences is
• Which of the following is a characteristic of the probability distribution for any random variable
• In what case would the Poisson distribution be a good approximation of the binomial distribution
• The mode of the geometric distribution is
• The binomial distribution may be approximated by a Poisson distribution if
• In a Binomial distribution, if $n$ is the number of trials and $p$ is the probability of success, then the mean value is given by
• In a binomial probability distribution, the sum of the probability of failure and the probability of success is always

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