Purchase Solution

Probability and probability distribution

Not what you're looking for?

Ask Custom Question

What is a probability and what is a probability distribution? Explain with examples?

Purchase this Solution
Solution Summary

This solution explains what a probability is and what a probability distribution is. It provides examples of these concepts the better illustrate them.

Solution Preview

Let us first introduce the term sample space. A sample space is a collection of all the possible random outcomes that we are interested in. For example, when flipping coins, our sample space has two elements, head and tail (assuming that the coin will not land on its side). When rolling a ...

Purchase this Solution
Free BrainMass Quizzes
Solving quadratic inequalities

This quiz test you on how well you are familiar with solving quadratic inequalities.

Geometry - Real Life Application Problems

Understanding of how geometry applies to in real-world contexts

Probability Quiz

Some questions on probability

Know Your Linear Equations

Each question is a choice-summary multiple choice question that will present you with a linear equation and then make 4 statements about that equation. You must determine which of the 4 statements are true (if any) in regards to the equation.

Graphs and Functions

This quiz helps you easily identify a function and test your understanding of ranges, domains , function inverses and transformations.

View More Free Quizzes
Related BrainMass Solutions

  • Difference in discrete & continous probability distribution

    411207 Difference in discrete & continous probability distribution What are the two basic laws of probability? What are the differences between a discrete probability distribution and a continuous probability distribution?

  • Probability Distributions

    247289 Frequency distribution a) Use the probability distribution to find the mean of the probability distribution. b) Use the probability distribution to find the variance of the probability distribution.

  • Probability Distributions Description

    This solution gives a concise description of the different types of probability distributions: continuous probability distribution, discrete probability distribution, binomial probability distribution, Poisson probability distribution, and hypergeometric

  • Representing a discrete probability distribution and continuous probability distribution

    467934 discrete probability distribution and continuous probability Give an example representing a discrete probability distribution and another example representing a continuous probability distribution.

  • How the following statistical devices can be used in business today?

    (Explain individually) --probability --probability distributions --normal distribution --permutation and combinations Probability Probability theory is a conceptual framework concerned with quantification of probabilities.

  • Solve: Expected Mean, Variance and Standard Deviation

    of a 15% return, 40% probability of a 25% return, and a 10% probability of a 50% return.

  • Why do we care about probability distribution?

    167813 Why do we care about probability distribution? What's a probability distribution? What's it used for and why do we care? Does a probability distribution guarantee a particular value will occur under a set of circumstances?

  • Geometric distribution probability

    83576 Geometric distribution probability Assume the geometric distribution applies. Use the given probability of success to find the indicated probability. Find P(4) when p=0.11. Please see the attached file.

  • Probability Distributions

    302704 Define Probability Density function, Probability distribution, and Probability Probability Density function, Probability distribution, and Probability Could someone give me definitions with examples of each.

  • Probability Distribution

    What shape would the probability distribution have for (a) completely certain returns and (b) completely uncertain returns? a) A completely certain return of $x indicates 100% probability concentrated at X = x.

View More Related Solutions