which of the following is not true for discrete random variables course hero

by Russel Langworth 5 min read

Which one of the following is not true for discrete random variable?

Statement B is not true for discrete random variables because it says they can assume only a countable number of values, but discrete random variables are for finite and infinite sequence of values.

What is discrete random variable and example?

A discrete random variable is a variable that can take on a finite number of distinct values. For example, the number of children in a family can be represented using a discrete random variable.

What is a discrete random variable quizlet?

discrete random variable. a random variable whose all possible values can be listed. continuous random variable. a random variable whose all possible values form a continuous interval.

What are the 3 example of discrete random variable?

Examples of discrete random variables include the number of children in a family, the Friday night attendance at a cinema, the number of patients in a doctor's surgery, the number of defective light bulbs in a box of ten.

Which of the following is an example of discrete variable?

The answer is the gender of each student in a psychology class is an example of a discrete variable.

What are examples of discrete and continuous variables?

Difference between Discrete and Continuous VariableDiscrete VariableContinuous VariableExamples: Number of planets around the Sun Number of students in a classExamples: Number of stars in the space Height or weight of the students in a particular class3 more rows•Oct 12, 2020

What are examples of random variables?

A typical example of a random variable is the outcome of a coin toss. Consider a probability distribution in which the outcomes of a random event are not equally likely to happen. If the random variable Y is the number of heads we get from tossing two coins, then Y could be 0, 1, or 2.

What is an example of continuous random variable?

For example, the height of students in a class, the amount of ice tea in a glass, the change in temperature throughout a day, and the number of hours a person works in a week all contain a range of values in an interval, thus continuous random variables.

Discrete Random Variables

This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will earn a "toolbox" of methods to deal with uncertainty in your daily life. The course is split in 5 modules.

Skills You'll Learn

In this module we move beyond probabilities and learn about important summary measures such as expected values, variances, and standard deviations. We also learn about the most popular discrete probability distribution, the binomial distribution.

About This Quiz & Worksheet

Inside this quiz you will find questions that cover random variables. Questions also deal with types of probability distribution.

Additional Learning

Further information about this subject is found in the lesson titled Developing Continuous Probability Distributions Theoretically & Finding Expected Values. This gives you the opportunity to learn about:

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