Statistical inference for one-sample proportion · * email: [email protected] 2 P1ßGUG GM...

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© 2014 Ryuji Uozumi. All Rights Reserved ⓗ⤫ィ䛾䝭䜽䝻䝕䞊䝍➼䜢⏝䛔䛯◊✲䛾᪂ᒎ㛤 26-ඹ◊-5008⤫ィ⌮◊✲ᡤ, 21 November 2014 SAS䛻䜘䜛༏䝕䞊䝍ศᯒ: 䝟䝑䜽᪑⾜㈝ᨭฟ䛸ୡᖏሗ䛾㛵㐃䛾ウ 㨶ఫ㱟 * ி㒔ᏛᏛ㝔་Ꮫ◊✲⛉ ་Ꮫ⤫ィ⏕≀ሗᏛ * email: [email protected] 2 ㇟䝕䞊䝍 ᅜᾘ㈝ᐇែㄪᰝ ༏ꅇ 䞊䝍 (N = 47,797) Â ༢㌟ୡᖏ (N = 1,836) Â 2௨䛾ୡᖏ (N = 25,607) ປୡᖏ (N = 27,443) ປ⪅ୡᖏ (1-7ୡᖏ) 䜢ᐃ (↓⫋ୡᖏ䜢㝖䛟)

Transcript of Statistical inference for one-sample proportion · * email: [email protected] 2 P1ßGUG GM...

Page 1: Statistical inference for one-sample proportion · * email: uozumi@kuhp.kyoto-u.ac.jp 2 P1ßGUG GM ² \ 2 Â1* >Ì ¡GUG GM (N = 47,797)

© 2014 Ryuji Uozumi. All Rights Reserved

26- -5008 , 21 November 2014

SAS :

*

* email: [email protected]

2

(N = 47,797)

(N = 1,836) 2 (N = 25,607)

(N = 27,443)

(1-7 ) ( )

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(27,443 )

: 10 :

:

(1-7 ) ( )

4

Page 3: Statistical inference for one-sample proportion · * email: uozumi@kuhp.kyoto-u.ac.jp 2 P1ßGUG GM ² \ 2 Â1* >Ì ¡GUG GM (N = 47,797)

© 2014 Ryuji Uozumi. All Rights Reserved 5

ed 5

! !!

6

H.I.S.

Page 4: Statistical inference for one-sample proportion · * email: uozumi@kuhp.kyoto-u.ac.jp 2 P1ßGUG GM ² \ 2 Â1* >Ì ¡GUG GM (N = 47,797)

7

7!!

JTB

8

. (2012 )

22.5

46.7

399

Page 5: Statistical inference for one-sample proportion · * email: uozumi@kuhp.kyoto-u.ac.jp 2 P1ßGUG GM ² \ 2 Â1* >Ì ¡GUG GM (N = 47,797)

© 2014 Ryuji Uozumi. All Rights Reserved 9

!!!

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N = 471

N = 1536

N = 2828

N = 3531

N = 3764

N = 3933

N = 4198

N = 3996

N = 2142

N = 743

N = 221

N = 80

Page 6: Statistical inference for one-sample proportion · * email: uozumi@kuhp.kyoto-u.ac.jp 2 P1ßGUG GM ² \ 2 Â1* >Ì ¡GUG GM (N = 47,797)

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<25 25<= <30

30<= <35

35<= <40

40<= <45

45<= <50

50<= <55

55<= <60

60<= <65

65<= <70

70<= <75

75<=

471 N =

Age:

1536 2828 3531 3764 4198 3996 2142 743 221 80 3933

10

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471 N = 1536 2828 3531 3764 4198 3996 2142 743 221 80 3933

<25 25<= <30

30<= <35

35<= <40

40<= <45

45<= <50

50<= <55

55<= <60

60<= <65

65<= <70

70<= <75

75<= Age:

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10

14

471 N = 1536 2828 3531 3764 4198 3996 2142 743 221 80 3933

<25 25<= <30

30<= <35

35<= <40

40<= <45

45<= <50

50<= <55

55<= <60

60<= <65

65<= <70

70<= <75

75<= Age:

0

Page 8: Statistical inference for one-sample proportion · * email: uozumi@kuhp.kyoto-u.ac.jp 2 P1ßGUG GM ² \ 2 Â1* >Ì ¡GUG GM (N = 47,797)

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N = 1836

N = 5968

N = 6854

N = 7951

N = 3541

N = 986

N = 307

16

N = 57

N = 347

N = 526

N = 454

N = 373

N = 452

N = 847

N = 1325

N = 991

N = 414

N = 130

N = 52

(2 )

Page 9: Statistical inference for one-sample proportion · * email: uozumi@kuhp.kyoto-u.ac.jp 2 P1ßGUG GM ² \ 2 Â1* >Ì ¡GUG GM (N = 47,797)

10 (2 )

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57 N = 347 526 454 373 847 1325 991 414 130 52 452

<25 25<= <30

30<= <35

35<= <40

40<= <45

45<= <50

50<= <55

55<= <60

60<= <65

65<= <70

70<= <75

75<= Age:

18

2

22

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N = 683

N = 5285

(2 )

20

( / ) N =

47115362828353137643933419839962142

743221

80

Page 11: Statistical inference for one-sample proportion · * email: uozumi@kuhp.kyoto-u.ac.jp 2 P1ßGUG GM ² \ 2 Â1* >Ì ¡GUG GM (N = 47,797)

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( / ) [2 ]

N =57

347526454373452847

1325991414130

52

22

2

2!!

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© 2014 Ryuji Uozumi. All Rights Reserved 23

1. . (2012 ).

http://www.mlit.go.jp/common/001040524.pdf. 2014/11/07 . 2. . : . SAS

2013, 507–510. 3. .

. SAS 2013, 511–514. 4. . SAS

. 2013. 5. . Let’s :

. SAS 2014, 21-31. 6. . (

) 2013 . http://www.nstac.go.jp/services/2ji/tokumei_tebiki.pdf. 2014/11/07 .

7. . 22 . http://www.mhlw.go.jp/toukei/saikin/hw/jinkou/geppo/nengai10/kekka04.html. 2014/11/07 .

8. H.I.S. 60 . http://www.his-j.com/tyo/senior/. 2014/11/07 .

9. JTB. . http://dom.jtb.co.jp/yado/theme/barrierfree/. 2014/11/07 .

10. . . http://travel.rakuten.co.jp/special/yasashii/. 2014/11/07 .

© 2014 Ryuji Uozumi. All Rights Reserved 24

Thanks for your kind attention !!