# Box Plot Template

A box plot is a graph that shows the frequency of numeric data values for a given variable. It indicates where most of the data is grouped and how much variation there is in the process. It is most useful when comparing between several data sets. This template allows you to enter up to 70 individual data points for two data sets, and the box plots will be displayed automatically to reflect your data.

# Box Plot

box plot is a graph that shows the frequency of numeric data values. It can be drawn either horizontally or vertically. It is referred to as a Box-and-Whisker Plot as it displays the data in a box-and-whiskers format. Box plots are widely used in statistics, scientific research, higher education, process improvement, and in social and human sciences.

# Histogram

histogram is a graph which shows the frequency of continuous data values. It is a type of bar chart that can be drawn either vertically or horizontally. Histograms are widely used in statistics, process improvement, scientific research, economics, and in social and human sciences.

# Histogram Template

A histogram is a bar chart that represents the frequency distribution of data on a given variable. It indicates where most of the data is grouped and how much variation there is in the process. This template allows you to enter up to 100 individual data points, and the histogram will be displayed automatically to reflect your data. The more data there is, the more accurate the histogram will be.

# Graphical Analysis

Graphing the data can be utilized for both historical data already available and when analyzing the data resulting from live data collection activities. Of course, you need to pick the right graphical tool as there are a lot of different ways to plot your data. A number of commonly used graphical tools will be covered here. However, note that if one graph fails to reveal anything useful, try another one.

# Histograms and Box Plots

Histograms and box plots are graphical representations for the frequency of numeric data values. They aim to describe the data and explore the central tendency and variability before using advanced statistical analysis techniques. In this article, we will further discuss the similarities and differences between these two tools.