STAT154 Chapter 4

A visually engaging representation of different probability distributions, such as graphs of Bernoulli, Binomial, and Poisson distributions, integrated with educational elements like textbooks and classroom settings.

Understanding Probability Distributions

This quiz is designed to test your knowledge of various probability distributions, covering key concepts from STAT154 Chapter 4. You will encounter questions on distributions such as Bernoulli, Binomial, and Poisson. The quiz will assess your ability to identify the correct distribution based on definitions and real-life scenarios.

Key Features:

  • 6 thought-provoking questions
  • Multiple choice format
  • Instant feedback on your answers
6 Questions2 MinutesCreated by CalculatingTree342
What distribution is described in this definition: If there are only two possible outcomes when a procedure is performed, it is called an experiment or a trial. We choose one of the two outcomes as a “success” and the other one as a “failure.” can have only two possible values: 0 for ‘failure’ and 1 for ‘success’, and their probabilities are fixed but usually unknown
Bernouli Distribution
Poisson
Hypergeometric
Binomial
What distribution is this definition describing: a trial is repeated independently the number of successes in these independent n times. X is
Bernouli
Hypergeometric
Binomial
Poisson
What distribution is this definition describing: X is the number of occurrences in a unit interval or space when the rate of occurrence is a fixed value . Then the distribution of , with the probability mass function
Bernouli
Binomial
Poisson
What formula would you use to solve this problem: Airline passengers arrive randomly and independently at the passenger-screening facility at a major international airport. The mean arrival rate is 10 passengers per minute. What is the probability of no arrivals in a one-minute period?
Poisson
Binomial
Hypergeometric
What formula would you use to solve this problem: A shipment of 10 items has two defective and eight non-defective units. In the inspection of the shipment, a sample of units will be selected and tested. If a defective unit is found, the shipment of 10 units will be rejected. If a sample of three items is selected, what is the probability that the shipment will be rejected?
Poisson
Hypergeometric
Binomial
What formula would you use to solve this problem: An automobile manufacturer buys computer chips from a supplier. The supplier sends a shipment containing 5% defective chips. Each chip chosen from this shipment has a probability of 0.05 of being defective, and each automobile uses 12 chips selected independently. What is the probability that all 12 chips in a car will work properly?
Poisson
Hypergeometric
Binomial
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