Describe how data outliers might be revealed in histograms and stem-and-leaf plots.

Outlier is a value which looks separated from different qualities, and it tends to be either upper or lower end.  

Further Explanation:  

Histogram:  

A histogram is an exact portrayal of the appropriation of numerical information. It is a gauge of the likelihood appropriation of a ceaseless variable and was first presented by Karl Pearson. It varies from a visual chart, as in a reference diagram relates two factors, however a histogram relates just one.  

Histogram use for:  

A recurrence dispersion indicates how frequently each extraordinary incentive in a lot of information happens. A histogram is the most regularly utilized chart to indicate recurrence circulations. It looks particularly like a bar graph, however there are significant contrasts between them.  

Histograms work:  

A histogram is drawn like a bar graph, yet regularly has bars of inconsistent width. It is the region of the bar that reveals to us the recurrence in a histogram, not its stature. Rather than plotting recurrence on the y-pivot, we plot the recurrence thickness. To ascertain this, you separate the recurrence of a gathering by its width.  

stem-and-leaf plots:  

A stem-and-leaf show or stem-and-leaf plot is a gadget for introducing quantitative information in a graphical organization, like a histogram, to help with picturing the state of a dissemination. They advanced from Arthur Bowl's work in the mid 1900s, and are helpful instruments in exploratory information investigation.  

stem leaf plot work:  

Stem-and-leaf plots are a strategy for demonstrating the recurrence with which certain classes of qualities happen. You could make a recurrence appropriation table or a histogram for the qualities, or you can utilize a stem-and-leaf plot and let the numbers themselves to indicate basically a similar data.

Subject: SAT

Level: High School

Keywords: Histogram, Histogram used for, Histograms work, stem-and-leaf plots, stem leaf plot work.    

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