N

9e46dfff-ab3d-4f34-a881-ee8305e6b380 46 4 5 decimal

&[DATE] &[TIME] - &[FILENAME]

N

N 15214334555667138109610911151213137147151016617218121913201021122252312241125112617277282299305313329331634113513367379389397409417428431344114544611479486497501851115255313548551256165785813591660561862763664765116646796856917708711372137313741275137617747887914808811182118312841285486487188689159011911092293129413958961597139889910100141011210271036104121051510681074108111091211031111311281131311416115101161111712118101198120161215122161236124161251112614127212891290130113141327133713491351213681371113891391014017141414213143414417145121461614712148101491415031514152121532154315511156815715158111591016091618162916310164116551661716717168316911170111711017281734174121751717681771217811179101801218110182131831118491850186161872188318911190319117192121935194919511196919761983199720052002 mat :

Histogram utilities & main Program

Stem plot for QuickPlot unicolor data Stem stemX 1 data rows range : i 1 stemX rows range stem i el data i 1 el data i 2 el data i 1 el 022 mat : for i 1 stem rows 1 - (range stem i el stem i el stem i 1 + (1 el 1 el 012 mat stack : for V stem 1 el : j 2 stem rows 1 - (range V V stem j el stack : for V V data data rows row stack : 71 line :

Bar plot unicolor style, bar width user. data dt BarSize v data 2 col : t v bar t dt - 0 t dt - v t dt + v t dt + 042 mat : j 1 data rows range j 1 ≡ B data j 1 el data j 2 el bar : B B data j 1 el data j 2 el bar stack : if 11 line for B 41 line :

μ N 2 col Mean : σ N 2 col StdDev : 21 mat 9.29 4.21 21 mat

N μ 2 1 sys

===== The histogram companion =====

value table lookup k 1 : j k table rows range table j el value ≡ index k el j : k k 1 + : 21 line No match if for index rows 31 line :

N N 2 col sort :

N histogram i 0 N max range x i 1 + el i : count i 1 + el i N lookup : 21 line for x count augment 21 line :

About histograms:

μ N Mean : σ N StdDev : 21 mat 9.29 4.21 21 mat

This Smath document starts at some user data set already prepared, i.e: data are made visible from "appropriate scaling" and floor/ ceiling to obtain integer numbers. Statisticians like to see how many values will fall in so many "bins". It may mean something to them with the remaining of the "statistical suites". Engineers have much different objectives. The 'N' plot has no meaning from the look. Don't be wrong, under the hood it will reveal the dispersion of measurements ... most interesting to determine an eventual PDF model representing the phenomenon.

low N min : upp N max : 21 mat 01821 mat

H N histogram :

If you are given a "PDF like" data set, most likely it may have been "bined unknown". In that case, you will spare lot of time debating about 'models'. Unless binining is natural, histogram is fake.

n N length : h upp low - H rows / : 21 mat 200 0.9474 21 mat

Stem & bar plots stem H Stem : Plot H 0.1 BarSize : 21 line

Quick μ 40 μ 10 - 22 mat stem x μ σ pdf.Normal n * h * 31 sys :

XY Plot 0300022 mat x μ σ pdf.Normal n * h * 31 sys :

Stem style histogram fitted PDFnormal.

Quick

H 02142639411512697138179161014112212201317145155169178181192 mat