A skewed distribution is one which is not symmetrical about the mean, or average. An exponential distribution is one example of a skewed probability distribution.
Know MoreSkewed distributions can be detected either by looking at a histogram of the data or by comparing the mean and median. The mean is calculated from the data values, while the median is found by locating the data point in the middle of the data set. If the mean and median are equal, the distribution is not skewed. If the mean is greater or less than the median, the distribution is skewed to the right or the left, respectively. A greater difference between mean and median corresponds to a more severely skewed distribution.
Learn more about StatisticsThe variance is the second central moment of a continuous probability distribution. The variance of a continuous uniform distribution on the interval [a, b] is (1/12)*(b - a)^2.
Full Answer >A poisson distribution displays discrete random variables, according to the University of Glasgow. Examples of discrete random variables include the numbers of cars that pass through an intersection in a given period of time. A discrete random variable is a representation of a countable number of separate values; this variable is always a finite number. Discrete random variables follow a poisson distribution.
Full Answer >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.
Full Answer >Normal distribution is when 50 percent of a quantity appears to the right of the halfway mark and 50 percent falls to the left. Used for phenomena such as blood pressure readings and height, the data can be depicted on a horizontal line and the quantity of data depicted on the vertical line. This arrangement forms a bell-shaped pattern called a normal curve, according to Regents Exam Prep Center.
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