Histogram - Template

"In probability and statistics, a probability distribution assigns a probability to each measurable subset of the possible outcomes of a random experiment, survey, or procedure of statistical inference. Examples are found in experiments whose sample space is non-numerical, where the distribution would be a categorical distribution; experiments whose sample space is encoded by discrete random variables, where the distribution can be specified by a probability mass function; and experiments with sample spaces encoded by continuous random variables, where the distribution can be specified by a probability density function. More complex experiments, such as those involving stochastic processes defined in continuous time, may demand the use of more general probability measures." [Probability distribution. Wikipedia]
The histogram template for the ConceptDraw PRO diagramming and vector drawing software is included in the Histograms solution from the Graphs and Charts area of ConceptDraw Solution Park.

The vector stencils library "Histograms" contains 10 templates of histograms for visualizing frequency distribution data.
"In statistics, a histogram is a graphical representation of the distribution of data. It is an estimate of the probability distribution of a continuous variable...
A histogram is a representation of tabulated frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to the frequency of the observations in the interval. The height of a rectangle is also equal to the frequency density of the interval, i.e., the frequency divided by the width of the interval. The total area of the histogram is equal to the number of data. A histogram may also be normalized displaying relative frequencies. It then shows the proportion of cases that fall into each of several categories, with the total area equaling 1. The categories are usually specified as consecutive, non-overlapping intervals of a variable. The categories (intervals) must be adjacent, and often are chosen to be of the same size. The rectangles of a histogram are drawn so that they touch each other to indicate that the original variable is continuous.
Histograms are used to plot the density of data, and often for density estimation: estimating the probability density function of the underlying variable. The total area of a histogram used for probability density is always normalized to 1." [Histogram. Wikipedia]
The example "Design elements - Histograms" was created using the ConceptDraw PRO diagramming and vector drawing software extended with the Histograms solution from the Graphs and Charts area of ConceptDraw Solution Park.