chisq.test corresp plot

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Transcription:

Research and Analysis about Study Time using R MIYOSHI Yoshihiko In Saitama W. J. College, we have implemented many surveys which are the freshman questionnaire, the graduate satisfaction questionnaire, the class questionnaire and so on. And we summarize and report about them. The reports were only summaries of the results and has not been the statistical analysis. So as one of the attempt, I do statistical analysis using statistical analysis software R, which is freeware. In this paper, I analyzed the questionnaire about study time. 1 R 1 R 201410313.1.2 2 SASSPSSStataJMP R R Windows 3264 Linux MaxOS X

31 2015.03 chisq.test corresp plot 2 2013 1 30122 1 30122

201432013 3 R Excel R 3 3 2013 3 2013 30 1 2 2 16 50 25 8 0 100 1 14 48 26 11 0 100 2 19 52 23 5 1 100 20 50 23 6 1 100 1 19 49 24 8 1 100 2 21 51 22 4 1 100 19 50 24 7 1 100

31 2015.03 2013 30 1 2 2 19 59 16 5 1 100 1 19 56 19 5 2 100 2 19 63 13 4 1 100 20 47 23 7 3 100 1 18 50 19 9 3 100 2 22 43 27 5 2 100 20 53 20 6 2 100 2014 30 1 2 2 16 54 24 5 2 100 1 14 52 27 5 1 100 2 19 56 19 5 3 100 15 44 32 9 1 100 1 12 46 35 6 1 100 2 18 42 28 13 0 100 15 49 28 7 1 100 2013 30 1 2 2 63 20 11 3 2 100 1 60 18 14 4 3 100 2 67 22 8 3 0 100 63 22 11 4 1 100 1 48 29 17 6 1 100 2 78 16 4 1 1 100 63 21 11 3 1 100 2013 30 1 2 2 67 19 11 4 0 100 1 60 21 14 5 0 100 2 75 16 7 2 0 100 64 21 10 3 2 100 1 51 27 16 5 2 100 2 77 15 5 2 2 100 66 20 10 3 1 100

2014 30 1 2 2 57 24 16 3 0 100 1 48 28 20 4 0 100 2 69 19 11 2 0 100 48 31 16 5 0 100 1 37 29 27 6 1 100 2 60 33 3 3 0 100 52 28 16 4 0 100 2014 5 H0 H0 R 2 12 4 χ 2 2013 5.797 76 2013 15.2103 8.532 2014 14.6113 10.22 5 H0

31 2015.03 5 H0 H0 χ 2 2013 36.2202 0.003623 2013 27.6155 0.0111 2014 45.1398 0.00000439 5 H0 5 H0 H0 χ 2 13.6658 9.09 1 6.2677 39.39 2 4.4291 61.88 1 11.8379 65.68 2 7.1582 30.65

5 H0 5 H0 H0 χ 2 22.493 0.09853 1 8.0741 23.27 2 2.5113 64.26 1 7.9982 23.82 2 16.1653 0.2805 121 5 H0 25 H0 2013

31 2015.03 2014 2014 AL 2 4 5 MASS corresp 41 1212 30122 301221420132013 2014 2013 2013 2014 r10.6996168 r20.6367472 λ10.4894637 λ20.4054470 r10.7046427 r20.6353097 λ10.4965213 λ20.4036184 r10.7203803 r20.6607130 λ10.5189478 λ20.4365416

2013-12 -10-8 -6-4 -2 0 2 2 30 2 1 301 1 1 2 2 2-1 0 1 2 3-4 -2 0 2 4 2 2 30 1 2013 1 1 30 2 1 2 2-1 0 1 2 3 4

31 2015.03 2 2014-10 -8-6 -4-2 0 2 2 2 30 1 1 2 1 2 30 2-4 -3-2 -1 0 1 x 21 230 2 11 130 4.2

121230122 1720132014 2013 2013 2014 r10.6063466 r20.5577281 λ10.3676562 λ20.3110607 r10.6293640 r20.5484994 λ10.3960990 λ20.3008516 r10.6186871 r20.5599143 λ10.3827737 λ20.3135040 2013 0 2 4 6 8 10 12 2 1 1 2 2 30 2 1-3 -2-1 0 1

31 2015.03 2013-15 -10-5 0 30 2 1 1 1 2 2 2-1 0 1 2 3 2014-10 -5 0 1 30 2 2 1 1 2 2-1 0 1 2

x 201320142013 3 232 2322 2 30 302 1212 30122 2420132014 2013 2013 2014 r10.5373524 r20.5218101 λ10.2887477 λ20.2722858 r10.4947144 r20.4736349 λ10.2447423 λ20.2243300 r10.4853880 r20.4688739 λ10.2356015 λ20.2198427

31 2015.03 2013 0 5 10 15 20 25 30 2 2 1 1 1 22 30-15 -10-5 0 5 2013-8 -6-4 -2 0 2 2 1 1 1 30 2 2 2-15 -10-5 0

2014 0 5 10 15 2 2 1 1 2 1 30 2-2 -1 0 1 2 2013 2013 2013-1.0-0.5 0.0 0.5 1.0 2 1 30 1 2-2 -1 0 1 2 1 1 2 2 1 30-1.0-0.5 0.0 0.5 1.0-2 -1 0 1 2 x

31 2015.03 2013 201320143 5 3 R 201320143 2 3

R Excel 6 R Excel plot text 1 The R Project for Statistical Computinghttp://www.r-project.org/ 2 1 https://sites.google.com/site/statinfra/comparison 3 Excel&R 18279 mn 4Excel&R 5 20 http://aoki2.si.gunma-u.ac.jp/ http://aoki2.si. gunma-u.ac.jp/lecture/cross/warning.html

31 2015.03 5 R 873 http://aoki2. si.gunma-u.ac.jp/lecture/qt/qt3.htmlr 6http://hide.maruo.co.jp/ Ver8.42 1987 2013 Excel&R 2007 R 2012 R C&R Joseph Adler2014 R 2009 The R Tips 2 R 2007 2011