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Menu iconMenu iconData Analysis Foundations with Python
Data Analysis Foundations with Python

Quiz for Part V: Statistical Foundations

Chapter 11: Probability Theory

  1. What is a sample space? 
    • a) The space in a graph where samples are plotted.
    • b) The set of all possible outcomes of an experiment.
    • c) The space between statistical variables.
    • d) The set of all possible combinations of events.
  2. What does a discrete probability distribution define?
    • a) The probability of each point in a continuous random variable.
    • b) The probability of each outcome in a sample space.
    • c) The probability of a certain range of values in a random variable.
    • d) None of the above.
  3. Which distribution is often used to model the number of successes in a fixed number of independent Bernoulli trials?
    • a) Uniform Distribution
    • b) Normal Distribution
    • c) Binomial Distribution
    • d) Poisson Distribution

Chapter 11: Probability Theory

  1. What is a sample space? 
    • a) The space in a graph where samples are plotted.
    • b) The set of all possible outcomes of an experiment.
    • c) The space between statistical variables.
    • d) The set of all possible combinations of events.
  2. What does a discrete probability distribution define?
    • a) The probability of each point in a continuous random variable.
    • b) The probability of each outcome in a sample space.
    • c) The probability of a certain range of values in a random variable.
    • d) None of the above.
  3. Which distribution is often used to model the number of successes in a fixed number of independent Bernoulli trials?
    • a) Uniform Distribution
    • b) Normal Distribution
    • c) Binomial Distribution
    • d) Poisson Distribution

Chapter 11: Probability Theory

  1. What is a sample space? 
    • a) The space in a graph where samples are plotted.
    • b) The set of all possible outcomes of an experiment.
    • c) The space between statistical variables.
    • d) The set of all possible combinations of events.
  2. What does a discrete probability distribution define?
    • a) The probability of each point in a continuous random variable.
    • b) The probability of each outcome in a sample space.
    • c) The probability of a certain range of values in a random variable.
    • d) None of the above.
  3. Which distribution is often used to model the number of successes in a fixed number of independent Bernoulli trials?
    • a) Uniform Distribution
    • b) Normal Distribution
    • c) Binomial Distribution
    • d) Poisson Distribution

Chapter 11: Probability Theory

  1. What is a sample space? 
    • a) The space in a graph where samples are plotted.
    • b) The set of all possible outcomes of an experiment.
    • c) The space between statistical variables.
    • d) The set of all possible combinations of events.
  2. What does a discrete probability distribution define?
    • a) The probability of each point in a continuous random variable.
    • b) The probability of each outcome in a sample space.
    • c) The probability of a certain range of values in a random variable.
    • d) None of the above.
  3. Which distribution is often used to model the number of successes in a fixed number of independent Bernoulli trials?
    • a) Uniform Distribution
    • b) Normal Distribution
    • c) Binomial Distribution
    • d) Poisson Distribution