Q:
# What is the CDF for the binomial distribution?

The cumulative distribution function for a binomial distribution is f(k; n, p) = (p^i)(1 - p)^(n - i) between the limits of i and k. K is defined as the total possible number of successful outcomes, p is the probability and n is the number of independent events.

Continue ReadingThe variable i is the lower limit of k. The cumulative distribution function can be abbreviated as CDF, and the function is often available on graphing calculators. The CDF is used to determine the probability that a discrete event may succeed or fail a given amount of times within a sequence of identical events. For a binomial distribution, there are only two possible outcomes.

Learn more about Statistics-
Q:
## What are examples of variables that follow a poisson distribution?

A: A poisson distribution displays discrete random variables, according to the University of Glasgow. Examples of discrete random variables include the number... Full Answer >Filed Under: -
Q:
## What is a z test?

A: A Z-test is commonly used in statistics to determine whether a given hypothesis is true in a normal distribution or bell curve. Z-tests are optimal for sam... Full Answer >Filed Under: -
Q:
## What is an example of skewed distribution?

A: A skewed distribution is one which is not symmetrical about the mean, or average. An exponential distribution is one example of a skewed probability distri... Full Answer >Filed Under: -
Q:
## Why are unequal class intervals sometimes used in a frequency distribution?

A: Unequal class intervals can be used in frequency distribution if the rate of occurrence is very unevenly distributed, with certain classes showing far lowe... Full Answer >Filed Under: