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## Introductory Statistics for Engineers

by: Mrs. Triston Collier

47

0

4

# Introductory Statistics for Engineers STAT 224

Marketplace > University of Wisconsin - Madison > Statistics > STAT 224 > Introductory Statistics for Engineers
Mrs. Triston Collier
UW
GPA 3.57

Staff

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COURSE
PROF.
Staff
TYPE
Class Notes
PAGES
4
WORDS
KARMA
25 ?

## Popular in Statistics

This 4 page Class Notes was uploaded by Mrs. Triston Collier on Thursday September 17, 2015. The Class Notes belongs to STAT 224 at University of Wisconsin - Madison taught by Staff in Fall. Since its upload, it has received 47 views. For similar materials see /class/205080/stat-224-university-of-wisconsin-madison in Statistics at University of Wisconsin - Madison.

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Date Created: 09/17/15
STAT 224 Discussion 2 TA Meng Song O ice 1270 MSC Phone 262 3230 Email songm statwiscedu O ice hour Tue 1100 1200 AM and 100 200 PM My Website wwwstatwiscedusongm 1 Generating Data 11 The Concatenate Command c ican be used to create vectors of any length gt xltc15225 gt X 115 20 25 The c command can also be used with any type of data like the character gt ylt cquotlntroductoryquot quotStatisticsquot quotwithquot quotRquot gt Y 1 quotIntroductoryquot quotStatisticsquot quotwithquot quotRquot 12 Sequential Function gt110 1112345678910 13 Random sampling function sample If you want to pick five numbers at random from the set 110 then you can write gt sample1105 1 6 9 1 7 5 Note this sampling is without replacementln order to get the samples with replacement add the argument replaceTRUE gt sample1105replaceT 1 2 3 3 4 4 Example gt die1lt sample14100replaceTRUE gt Xtabs die1 diel 1 2 3 4 22 22 32 24 gt barchartxtabs die1 2 Arithmetic Operations 21 Some commands gt xlt C123 gt ylt c456 gt xy 1 5 7 9 gt 2X 1 2 4 6 gt yX 1 40 25 20 gt yX 1 3 3 3 gt sumx 1 6 gt X 2 1 1 4 9 gt pminxy Parallel minimum 1 1 2 3 gt pmaxxy Parallel Maximum 1 4 5 6 gt minxy 1 1 gt maXXy 1 6 gt die2lt sample14100replaceT gt dsumdie1die2 22 Graphs Use barchart densityplot histogram to see the distribution gt barchartxtabs dsum densityplot dsum histogram dsum VV V barchartxtabs dmin dminlt pmindie1die2 densityplot dmin VV V barchartxtabs dmax dmaXlt pmaxdie1die2 densityplotdmax VV 3 Relative frequency gt tsumlt Xtabs dsum gt tsumsumtsum dsum 2 3 4 5 6 7 8 006 013 014 025 020 014 008 Compare with the sample is 10000 gt die11lt sample141000OOreplaceT gt die12lt sample141000OOreplaceT gt dsum1lt die11die12 gt tsum1lt Xtabs dsum1 gt tsumlsumtsum1 dsuml 2 3 4 5 6 7 8 006335 012655 018658 024782 018759 012524 006287 Similar comparison for dmin and dmax 4 Cumulative frequency Comment length gt Xlt c123 gt lengthX 1 3 Cumsum cumulative sum gt cumsumX 1 1 3 6 Logical Values There are two logical values TRUE and FALSE which are used extensively for logic These variable types are used a great deal for making comparisons If we want to compare whether 3 equals 4 gt 34 1 FALSE gt 3lt4 1 TRUE gt xlt 13 gt ylt Xlt3 gt 1 TRUE TRUE FALSE gt sumy 1 2 gt cumsumy 1 1 2 2 gt ylt c111122224444 gt cumsumy2 1 O O O O 1 2 3 4 4 4 4 4 gt die1lt sample141000replaceT gt trialNolt 1 lengthdie1 gt freqlt cumsumdie12trialNo gt xyplotfreq trialNoXlabquotNumber of trialsquotylabquotRelative frequencequottypecquotgquotquotlquot

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