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  2. Normal probability plot - Wikipedia

    en.wikipedia.org/wiki/Normal_probability_plot

    Normal probability plots are made of raw data, residuals from model fits, and estimated parameters. A normal probability plot. In a normal probability plot (also called a "normal plot"), the sorted data are plotted vs. values selected to make the resulting image look close to a straight line if the data are approximately normally distributed.

  3. Category:Statistical charts and diagrams - Wikipedia

    en.wikipedia.org/wiki/Category:Statistical...

    Download QR code; Print/export ... Normal probability plot; Np-chart; O. Outlier; P. P-chart; ... Probability plot correlation coefficient plot;

  4. Normality test - Wikipedia

    en.wikipedia.org/wiki/Normality_test

    A graphical tool for assessing normality is the normal probability plot, a quantile-quantile plot (QQ plot) of the standardized data against the standard normal distribution. Here the correlation between the sample data and normal quantiles (a measure of the goodness of fit) measures how well the data are modeled by a normal distribution. For ...

  5. Category:Normality tests - Wikipedia

    en.wikipedia.org/wiki/Category:Normality_tests

    Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. Help ... Normal probability plot; P. Pearson's chi-squared test; S.

  6. Template:Probability distributions - Wikipedia

    en.wikipedia.org/wiki/Template:Probability...

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  7. Plot (graphics) - Wikipedia

    en.wikipedia.org/wiki/Plot_(graphics)

    Probability plot : The probability plot is a graphical technique for assessing whether or not a data set follows a given distribution such as the normal or Weibull, and for visually estimating the location and scale parameters of the chosen distribution. The data are plotted against a theoretical distribution in such a way that the points ...

  8. Shewhart individuals control chart - Wikipedia

    en.wikipedia.org/wiki/Shewhart_individuals...

    The normal distribution is NOT assumed nor required in the calculation of control limits. Thus making the IndX/mR chart a very robust tool. Thus making the IndX/mR chart a very robust tool. This is demonstrated by Wheeler using real-world data [ 4 ] , [ 5 ] and for a number of highly non-normal probability distributions.

  9. Rankit - Wikipedia

    en.wikipedia.org/wiki/Rankit

    Rankit plots are usually used to visually demonstrate whether data are from a specified probability distribution. A rankit plot is a kind of Q–Q plot – it plots the order statistics (quantiles) of the sample against certain quantiles (the rankits) of the assumed normal distribution. Q–Q plots may use other quantiles for the normal ...