The red triangle menus next to each variable in the report window contain additional options that apply to the variable. This section describes the options that are available for continuous variables.
Display Options
See Display Options for Continuous Variables.
Histogram Options
See Histogram Options for Continuous Variables.
Normal Quantile Plot
Helps you visualize the extent to which the variable is normally distributed. See Normal Quantile Plot.
Outlier Box Plot
Shows the distribution and helps you identify possible outliers. See Outlier Box Plot.
Quantile Box Plot
Shows specific quantiles from the Quantiles report. See Quantile Box Plot.
Stem and Leaf
See Stem and Leaf.
CDF Plot
Creates a plot of the empirical cumulative distribution function. See CDF Plot.
Test Mean
Perform a one-sample test for the mean. See Test Mean.
Test Std Dev
Perform a one-sample test for the standard deviation. See Test Std Dev.
Test Equivalence
Assesses whether a population mean is equivalent to a hypothesized value. See Test Equivalence.
Confidence Interval
Choose confidence intervals for the mean and standard deviation. See Confidence Intervals.
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.
Process Capability
(Not available when the Y column has a Detection Limits column property.) Measures the conformance of a process to given specification limits. See Process Capability.
Note: If the Y column has a Detection Limits column property, process capability analyses are available only from the fitted distribution red triangle menus. See Process Capability.
Continuous Fit
Fits distributions to continuous variables. If the Y column has a Detection Limits column property, the Continuous Fit options fit a censored distribution and only a subset of distributions are available. See Fit Distributions.
Discrete Fit
(Available when all data values are integers.) Fits distributions to discrete variables. See Fit Distributions.
Save
Saves information about continuous or categorical variables. See Save Options for Continuous Variables.
Remove
Permanently removes the variable and all its reports from the Distribution report.
Quantiles
Shows or hides the Quantiles report. See The Quantiles Report.
Set Quantile Increment
Changes the quantile increment or revert to the default quantile increment.
Custom Quantiles
Sets custom quantiles by values or by increments. You can specify the confidence level and choose whether to compute smoothed empirical likelihood quantiles (for large data sets, this can take some time).
– For more information about how the weighted average quantiles are estimated, see Statistical Details for Quantiles.
– For more information about distribution-free confidence limits for the weighted average quantiles, see section 5.2 in Meeker et al. (2017).
– Smoothed empirical likelihood quantiles are based on a kernel density estimate. For more information about how these quantiles and their confidence limits are estimated, see Chen and Hall (1993).
– Confidence intervals and smoothed empirical likelihood quantiles are not available when fractional frequencies are used.
Summary Statistics
Shows or hides the Summary Statistics report. See The Summary Statistics Report.
Customize Summary Statistics
Adds or removes statistics from the Summary Statistics report. See The Summary Statistics Report.
Horizontal Layout
Changes the orientation of the histogram and the reports to vertical or horizontal.
Axes on Left
Moves the Count, Prob, Density, and Normal Quantile Plot axes to the left instead of the right.
This option is applicable only if Horizontal Layout is selected.
Histogram
Shows or hides the histogram. See Histograms.
Shadowgram
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:
– Std Error Bars
– Show Counts
– Show Percents
Vertical
Changes the orientation of the histogram from a vertical to a horizontal orientation.
Std Error Bars
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 Statistical Details for Standard Error Bars.
Set Bin Width
Changes the bin width of the histogram bars. See Resize Histogram Bars for Continuous Variables.
Histogram Color
Changes the color of the histogram bars.
Count Axis
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.
Prob Axis
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.
Density Axis
The density is the length of the bars in the histogram. Both the count and probability are based on the following calculations:
probability = (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.
Show Percents
Labels the proportion of column values represented by each histogram bar.
Show Counts
Labels the frequency of column values represented by each histogram bar.