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Statistical Figures

Statistical figures are frequently used in statistics to present data in an illustrative format, which clearly communicates the results in an interpretable manner, in which patterns can be emphasized. Often, figures can focus on particular aspects of a data set which are important, but hard to notice when only analyzing the raw data in basic numerical form. Therefore, understanding how to construct different graphical figures is imperative to being successful in expressing statistical data effectively.

There is a multitude of different statistical figures which are taught in statistics because depending on the nature of the data or hypothesis being tested, different figures are more appropriate than others. Figures range from being fairly basic such as bar charts and scatter plots, to more complex such as box plots and pareto charts, which require several calculations to be computed so that the graph can be completed. Other graphics, such as histograms or control charts, are most often used in particular cases. A histogram is utilized to represent a frequency distribution and control charts are commonly utilized when graphing manufacturing processes.

Furthermore, when presenting statistical data and results to the general public, for example in a journal publication, the use of statistical graphics is particularly powerful. It is more likely that statistical figures will be able to get the take home message across, in comparison to the original raw data tables. The application of statistical figures extends well beyond the classroom and evidently, is integral to communication in the discipline of statistics.

Categories within Statistical Figures

Bar Chart

Postings: 3

A bar chart is a statistical diagram which compares the numerical values for different categories through the use of either horizontal or vertical bars.

Pie Chart

Postings: 14

A pie chart is used to display categorical data as the area of divided sectors in a circular figure, representing each category as a proportion of the whole.

Pareto Chart

Postings: 11

A pareto chart is a special type of bar graph, which incorporates the use of a line graph to represent the cumulative total of all the units being measured.

Box Plot

Postings: 28

A box plot provides an illustrative representation of the differences between groups by graphing the numerical data for each group using quartiles.

Control Chart

Postings: 68

A control chart is used to measure the statistical control associated with manufacturing processes and thus, plots the lower and upper control limits to measure deviations from the controlled state.

Histogram

Postings: 69

A histogram is used in statistics to represent visually a frequency distribution for different category boundaries, through the construction and juxtaposition of rectangular bars.

Q-Q Plot

Postings: 0

A quantile-quantile plot is used when considering populations with a common distribution and is used to analyze two probability distributions against each other.

Scatter Plot

Postings: 42

A scatter plot is utilized to depict the relationship between two variables and can analyze whether a cause-and-effect relationship exists.

Stemplot

Postings: 28

A stemplot also referred to as a stem-and-leaf display, functions to provide in graphical form the shape and spread associated with a set of quantitative data.

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Ratio rate and analyzing difference between probability

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Making an XBar Control Chart with Excel

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Control Charts: Plotting and Calculating

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Stats and Financial Analysis

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Non-conformities

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Analyzing Data

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A local children's boutique specializes in formal wear for young girls

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Children's Boutique Control Chart

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Statistical Process Control Assignment

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What is the sample size?

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X-bar and R chart

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Control Charts and Nonconforming Proportions

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Control Charts.

You have taken data from a production process in order to develop an Xbar control chart. You have 25 samples of data with 5 parts measured in each sample to get the Xbar. Use this data shown in the table. Sample Xbar 1 2.12 2 2.22 3 1.98 4 2.24 5 1.97 6 1.99 7 2.1

The Importance of Histrograms

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Statistics - Probability.

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