Follow the rows down to 1.1 and then across the columns to 0.03. }=0.195804 \nonumber \]. Statistical methods and equations can be applied to a data set in order to analyze and interpret results, explain variations in the data, or predict future data. The total count is 149. As an example, imagine that your psychology experiment returned the following number set: 3, 11, 4, 6, 8, 9, 6. The cumulative percent is the cumulative sum of the percentages for each group of the By variable. The median is a measure of central tendency not sensitive to outlying values (unlike the mean, which can be affected by a few extremely high or low values). }{15 ! }{15 ! : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.
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[Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()" }, 13.1: Basic statistics- mean, median, average, standard deviation, z-scores, and p-value, [ "article:topic", "license:ccby", "showtoc:no", "authorname:pwoolf", "autonumheader:yes2", "licenseversion:30", "source@https://open.umn.edu/opentextbooks/textbooks/chemical-process-dynamics-and-controls", "author@Andrew MacMillan", "author@David Preston", "author@Jessica Wolfe", "author@Sandy Yu", "cssprint:dense" ], https://eng.libretexts.org/@app/auth/3/login?returnto=https%3A%2F%2Feng.libretexts.org%2FBookshelves%2FIndustrial_and_Systems_Engineering%2FChemical_Process_Dynamics_and_Controls_(Woolf)%2F13%253A_Statistics_and_Probability_Background%2F13.01%253A_Basic_statistics-_mean%252C_median%252C_average%252C_standard_deviation%252C_z-scores%252C_and_p-value, \( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}}}\) \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash{#1}}} \)\(\newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\) \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\) \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\) \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\) \( \newcommand{\Span}{\mathrm{span}}\) \(\newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\) \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\) \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\) \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\) \( \newcommand{\Span}{\mathrm{span}}\)\(\newcommand{\AA}{\unicode[.8,0]{x212B}}\), Andrew MacMillan, David Preston, Jessica Wolfe, & Sandy Yu, (Bookshelves/Industrial_and_Systems_Engineering/Chemical_Process_Dynamics_and_Controls_(Woolf)/13:_Statistics_and_Probability_Background/13.01:_Basic_statistics-_mean,_median,_average,_standard_deviation,_z-scores,_and_p-value), /content/body/div[2]/div[12]/p[2]/span, line 1, column 2, (Bookshelves/Industrial_and_Systems_Engineering/Chemical_Process_Dynamics_and_Controls_(Woolf)/13:_Statistics_and_Probability_Background/13.01:_Basic_statistics-_mean,_median,_average,_standard_deviation,_z-scores,_and_p-value), /content/body/div[2]/div[12]/p[3]/span, line 1, column 3, Important Note About Significant P-values, 13.2: SPC- Basic Control Charts- Theory and Construction, Sample Size, X-Bar, R charts, S charts, Standard Deviation and Weighted Standard Deviation, The Sampling Distribution and Standard Deviation of the Mean, Binning in Chi Squared and Fishers Exact Tests, http://www.fourmilab.ch/rpkp/experiments/analysis/zCalc.html, Andrew MacMillan, David Preston, Jessica Wolfe, Sandy Yu, & Sandy Yu, source@https://open.umn.edu/opentextbooks/textbooks/chemical-process-dynamics-and-controls, On average, how much each measurement deviates from the mean (standard deviation of the mean), Span of values over which your data set occurs (range), and, Midpoint between the lowest and highest value of the set (median).
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