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.
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Box Plot
A 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.
Read more »Histogram
A 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.
Read more »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.
Read more »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.
Read more »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.
Read more »Pareto Analysis
There are many situations where you are asked to decide which problems or causes of a problem should be tackled first. The Pareto Principle, which is also referred to as the 80-20 rule, states that roughly 80 percent of the problems or effects come from 20 percent of the causes. It describes a statistical phenomenon that a small number of high values contribute more to the total than a high number of low values. The focus of the Pareto Analysis is to identify the “vital few” from the “trivial many” and make it possible to attack the 80 percent of the problems to obtain the maximum benefits.
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