Histogram
A histogram is a display of statistical information that uses rectangles to show the frequency of data items
in successive numerical intervals of equal size. In the most common form of histogram, the independent variable is plotted along the horizontal
axis and the dependent variable is plotted along the vertical axis. The data appears as colored or shaded rectangles of variable area. Anyway we
recommend you to use our tools for creation histogram charts.
The word histogram is derived from Greek: histos 'anything set upright' (as the masts of a ship, the bar of a loom, or the
vertical bars of a histogram); gramma 'drawing, record, writing'.Use FREE our tool for SORTED data or our
tool for UNSORTED data to create your histogram chart! The histogram is one of the seven basic tools of quality control,
which also include the Pareto chart, check sheet, control chart, cause-and-effect diagram,
flowchart, and scatter diagram. A generalization of the histogram is kernel smoothing techniques. This will construct a very
smooth Probability density function from the supplied data.
Use FREE our tool for SORTED data or our tool for UNSORTED data to create your histogram chart!
A frequency distribution shows how often each different value in a set of data occurs. A histogram is the most commonly used graph to show
frequency distributions. It looks very much like a bar chart, but there are important differences between them.When to Use a Histogram
- * When the data are numerical.
- * When you want to see the shape of the data’s distribution, especially when determining whether the output of a process is distributed approximately normally.
- * When analyzing whether a process can meet the customer’s requirements.
- * When analyzing what the output from a supplier’s process looks like.
- * When seeing whether a process change has occurred from one time period to another.
- * When determining whether the outputs of two or more processes are different.
- * When you wish to communicate the distribution of data quickly and easily to others.