Purchase Solution

Describe three ways distributions can be represented (other than in a table that lists values for X and f(x).

Not what you're looking for?

Ask Custom Question

Describe three ways distributions can be represented (other than in a table that lists values for X and f(x)).

Purchase this Solution
Solution Summary

Ways of representing distributions are discussed. The solution is detailed and well presented.

Solution Preview

Hello,
The three ways in which the distribution can be represented other than in a table that lists the values for x and f(x) are given below :

1) Normal distribution : The normal distribution has two parameters, the mean mu and the standard deviation sigma. Once the parameters are known, the distribution is completely specified. It can be shown, although we will not do so (yet) that a good guess or estimate for mu is the mean of the observed values. An estimate for sigma is the standard deviation. Although the standard deviation is a positive number, the mean can assume any value. The distribution is symmetrical with mean, mode, and median ...

Purchase this Solution
Free BrainMass Quizzes
Solving quadratic inequalities

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

Multiplying Complex Numbers

This is a short quiz to check your understanding of multiplication of complex numbers in rectangular form.

Geometry - Real Life Application Problems

Understanding of how geometry applies to in real-world contexts

Probability Quiz

Some questions on probability

Exponential Expressions

In this quiz, you will have a chance to practice basic terminology of exponential expressions and how to evaluate them.

View More Free Quizzes
Related BrainMass Solutions

  • Probability and Statistics

    Describe two other ways distributions can be represented. Another way a discrete probability distribution could be written is as functions valid over ranges of x; i.e. f(x) for 0 < x <= 1 and g(x) for x > 1.

  • Normal Distribution and Values

    (a) Recognizing that this is a binomial situation, give the meaning/values of S, F, n, p, and q. S is: n = F is: p = q = (b) Construct the complete binomial probability distribution for this situation in a table at right.

  • Sampling distibutions, central limit theorem, probability

    The second column lists the probability for each value of. 3. Multiply the values in the first and second column to get , the values in the third column. 4. Square the values of to get the values of in the fourth column. 5.

  • Webster Mail Order Company - Histogram

    Find the mean, variance and standard deviation for the probability distribution. Give a brief interpretation of the values of the mean and standard deviation.

  • Normal and standard normal distribution

    This means that there is always some probability (area) for extreme values There are 2 parameters involved namely μ and σ. It implies that there can be infinite number of normal curves even for the same mean.

  • Representing a discrete probability distribution and continuous probability distribution

    Suppose we wanted to know the probability that the random variable X was less than or equal to some point, a. The probability that X is less than or equal to a is equal to the area under the curve bounded by a and minus infinity.

  • A Discussion on Probability and Normal Distributions.

    With discrete distributions, the probability function f(x) provides the probability that the random variable x assumes various values. What does this actually mean?

  • Normal Distribution

    In this problem, the mean and standard deviation are given, but X and Z are unknown. The problem is to solve for an X value that has 5% or 0.05 of the X values less than that value.

  • Poisson & Uniform Probabilities

    6.2. x is uniformly distributed over a range of values from 8 to 21. a. What is the value of f (x) for this distribution? b. Determine the mean and standard deviation of this distribution. c.

View More Related Solutions