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In a histogram, each bin is for a different range of values, so altogether the histogram illustrates the distribution of values. But in a bar chart, each bar is for a different category of observations (e.g., each bar might be for a different population), so altogether the bar chart can be used to compare different categories.
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A bar graph shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. Some bar graphs present bars clustered in groups of more than one, showing the values of more than one measured variable. These clustered groups can be differentiated using ...
Autocorrelation plot; Bar chart; Biplot; Box plot; Bullet graph; Chernoff faces; Control chart; Fan chart; Forest plot; Funnel plot; Galbraith plot; Histogram; Mosaic ...
The histogram bins in one dimension; The count or frequency of process observations in the corresponding bin in the other dimension; Lines that delineate the upper and lower specification limits; Note that the extremes in process observations must be accurately predicted in advance of constructing the check sheet.
Considerations of the shape of a distribution arise in statistical data analysis, where simple quantitative descriptive statistics and plotting techniques such as histograms can lead on to the selection of a particular family of distributions for modelling purposes. The normal distribution, often called the "bell curve" Exponential distribution
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A histogram graph showing the numerical distribution of petal lengths (cm) recorded from Iris flower data set Statistical distributions reveal trends based on how numbers are distributed. Common examples include histograms and box-and-whisker plots , which convey statistical features such as mean , median , and outliers .