Histogram Options Submenu for Continuous Variables | JMP 13.2

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Basic Analysis • Distributions • Options for Continuous Variables • Histogram Options Submenu for Continuous Variables

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Histogram Options Submenu for Continuous Variables

Shows or hides the histogram. See Histograms.

Replaces the histogram with a shadowgram. To understand a shadowgram, consider that if the bin width of a histogram is changed, the appearance of the histogram changes. A shadowgram overlays histograms with different bin widths. Dominant features of a distribution are less transparent on the shadowgram.

Note that the following options are not available for shadowgrams:

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Changes the orientation of the histogram from a vertical to a horizontal orientation.

Draws the standard error bar on each level of the histogram using the standard error. The standard error bar adjusts automatically when you adjust the number of bars with the hand tool. See Resize Histogram Bars for Continuous Variables, and Standard Error Bars.

Changes the bin width of the histogram bars. See Resize Histogram Bars for Continuous Variables.

Histogram Color

Changes the color of the histogram bars.

Adds an axis that shows the frequency of column values represented by the histogram bars.

Note: If you resize the histogram bars, the count axis also resizes.

Adds an axis that shows the proportion of column values represented by histogram bars.

Note: If you resize the histogram bars, the probability axis also resizes.

The density is the length of the bars in the histogram. Both the count and probability are based on the following calculations:

prob = (bar width)*density

count = (bar width)*density*(total count)

When looking at density curves that are added by the Fit Distribution option, the density axis shows the point estimates of the curves.

Note: If you resize the histogram bars, the density axis also resizes.

Labels the proportion of column values represented by each histogram bar.

Labels the frequency of column values represented by each histogram bar.

Normal Quantile Plot

Adds a normal quantile plot that shows the extent to which the variable is normally distributed. See Normal Quantile Plot.

Outlier Box Plot

Adds an outlier box plot that shows the outliers in your data. See Outlier Box Plot.

Quantile Box Plot

Adds a quantile box plot that shows specific quantiles from the Quantiles report. See Quantile Box Plot.

Adds a stem and leaf report, which is a variation of the histogram. See Stem and Leaf.

Adds a plot of the empirical cumulative distribution function. See CDF Plot.

Performs a one-sample test for the mean. See Test Mean.

Performs a one-sample test for the standard deviation. See Test Std Dev.

Test Equivalence

Performs an equivalence test. See Test Equivalence.

Confidence Interval

Choose confidence intervals for the mean and standard deviation. See Confidence Intervals for Continuous Variables.

Prediction Interval

Choose prediction intervals for a single observation, or for the mean and standard deviation of the next randomly selected sample. See Prediction Intervals.

Tolerance Interval

Computes an interval to contain at least a specified proportion of the population. See Tolerance Intervals.

Capability Analysis

Measures the conformance of a process to given specification limits. See Capability Analysis.

Fits distributions to continuous variables. See Fit Distributions.

Fits distributions to discrete variables. See Fit Distributions.

Saves information about continuous or categorical variables. See Save Commands for Continuous Variables.

Permanently removes the variable and all its reports from the Distribution report.

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Help created on 9/19/2017