spss1.PDF
|
|
- ぜんすけ たもん
- 7 years ago
- Views:
Transcription
1 -1-
2 (Statistical Package for Social Sciences < >
3 30 3, ,
4 row column matrix (information) data (statistics) SPSS -4-
5 var ( ) 65,
6 var00001 SPSS sav ***.xls, SPSS World95.sav populatn density -6-
7 population populatn V1, V2, V3,,V500 populatn, density, urban,,babymort V1,V2,V3,,V9 country country case name urban people living in cities(%)
8 SPSS -8-
9 -9-
10 10-10-
11 Peason Kendall b Spearman
12 78.34% 22.88% % % 109 ** 1% 5% People who read % Population increase %per year % 1% ** Gross domestic product/capita p ( ) 5% 1% 10%
16soukatsu_p1_40.ai
2 2016 DATA. 01 3 DATA. 02 4 DATA. 03 5 DATA. 04 6 DATA. 05 7 DATA. 06 8 DATA. 07 9 DATA. 08 DATA. 09 DATA. 10 DATA. 11 DATA. 12 DATA. 13 DATA. 14 10 11 12 13 COLUMN 1416 17 18 19 DATA. 15 20 DATA. 16
More information... 3... 3... 3... 3... 4... 7... 10... 10... 11... 12... 12... 13... 14... 15... 18... 19... 20... 22... 22... 23 2
1 ... 3... 3... 3... 3... 4... 7... 10... 10... 11... 12... 12... 13... 14... 15... 18... 19... 20... 22... 22... 23 2 3 4 5 6 7 8 9 Excel2007 10 Excel2007 11 12 13 - 14 15 16 17 18 19 20 21 22 Excel2007
More information1. 52
51 1. 52 5 2. 1 2 54 4 55 5 1 56 2 57 . 1 1 58 2 1 59 2 4 60 61 62 6 64 4. 65 66 67 5 1 2 4 68 1 69 2 70 1 2 71 72 1 2 7 1 2 74 75 1 76 2 77 1 2 78 4 79 5 80 6. 1 81 2 82 8 84 85 86 87 7. 88 89 8. column
More information1 2 2 36 8 1212 15 16 20 22 24 26 28 8 14 21 1 31 32 32 3335 37 39 43 45 48 49 5051 54 56 58 6264 6669 43 50 58 2 73 74 7779 8183 85 88 91 93 9698 100 102103 74 85 93 106 106 108 110 112 3 115 116 116
More informationhttp://banso.cocolog-nifty.com/ 100 100 250 5 1 1 http://www.banso.com/ 2009 5 2 10 http://www.banso.com/ 2009 5 2 http://www.banso.com/ 2009 5 2 http://www.banso.com/ < /> < /> / http://www.banso.com/
More information!!! 2!
2016/5/17 (Tue) SPSS (mugiyama@l.u-tokyo.ac.jp)! !!! 2! 3! 4! !!! 5! (Population)! (Sample) 6! case, observation, individual! variable!!! 1 1 4 2 5 2 1 5 3 4 3 2 3 3 1 4 2 1 4 8 7! (1) (2) (3) (4) categorical
More informationn=360 28.6% 34.4% 36.9% n=360 2.5% 17.8% 19.2% n=64 0.8% 0.3% n=69 1.7% 3.6% 0.6% 1.4% 1.9% < > n=218 1.4% 5.6% 3.1% 60.6% 0.6% 6.9% 10.8% 6.4% 10.3% 33.1% 1.4% 3.6% 1.1% 0.0% 3.1% n=360 0% 50%
More informationサービス付き高齢者向け住宅賠償責任保険.indd
1 2 1 CASE 1 1 2 CASE 2 CASE 3 CASE 4 3 CASE 5 4 3 4 5 6 2 CASE 1 CASE 2 CASE 3 7 8 3 9 10 CASE 1 CASE 2 CASE 3 CASE 4 11 12 13 14 1 1 2 FAX:03-3375-8470 2 3 3 4 4 3 15 16 FAX:03-3375-8470 1 2 0570-022808
More information項 目
1 1 2 3 11 4 6 5 7,000 2 120 1.3 4,000 04 450 < > 5 3 6 7 8 9 4 10 11 5 12 45 6 13 E. 7 B. C. 14 15 16 17 18 19 20 21 22 23 8 24 25 9 27 2 26 6 27 3 1 3 3 28 29 30 9 31 32 33 500 1 4000 0 2~3 10 10 34
More information2007.3„”76“ƒ
76 19 27 19 27 76 76 19 27 19 27 76 76 19 27 19 27 76 76 19 27 19 27 76 1,27, 2, 88, 8,658 27, 2,5 11,271,158 1,712,876 21,984,34 1,, 6, 7, 2, 1,78, 1,712,876 21,492,876 27, 4, 18, 11,342 27, 2,5 491,158
More information1631 70
70 1631 1631 70 70 1631 1631 70 70 1631 1631 70 70 1631 1631 70 70 1631 1631 70 70 1631 9,873,500 9,200,000 673,500 2,099,640 2,116,000 16,360 45,370 200,000 154,630 1,000,000 1,000,000 0 648,851 730,000
More information72 1731 1731 72 72 1731 1731 72 72 1731 1731 72 72 1731 1731 72 72 1731 1731 72 12,47,395 4, 735,5 1,744 4,5 97, 12,962,139 6,591,987 19,554,126 9,2, 4, 7, 2, 9,96, 6,591,987 16,551,987 2,847,395 35,5
More information●70974_100_AC009160_KAPヘ<3099>ーシス自動車約款(11.10).indb
" # $ % & ' ( ) * +, -. / 0 1 2 3 4 5 6 7 8 9 : ; < = >? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y " # $ % & ' ( ) * + , -. / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B
More informationuntitled
3 3 3.1. 25 26 30 41 48 51 60 56 61-2 - 3 12 8 12 13 3.2. 70% 12% 17 () 16 557 159 73 11.8% 76.6% 89.0% 70.7% 2003 2002 2003 1997 2002 1999 15 10 Statistical Abstract of the U.S.2003Housing Statistics
More informationuntitled
280 200 5 7,800 6 8,600 28 1 1 18 7 8 2 ( 31 ) 7 42 2 / / / / / / / / / / 1 3 (1) 4 5 3 1 1 1 A B C D 6 (1) -----) (2) -- ()) (3) ----(). ()() () ( )( )( )( ) ( ) ( )( )( )( ) () (). () ()() 7 () ( ) 1
More information看護・介護分野における外国人労働者の受け入れ問題
1111 12 16 1610 1723 1725 1725 1729 FTA EPA 16 2004 11 EPA 18 2006 FTA 17 2005 1 4 2006. POEA AOTS 2 EPA 3 care giver 4 FTA 2005.7.28. ; http://www.mofa.go.jp/mofaj/area/thailand/j_thai_kyotei. html 20051215
More informationuntitled
22 3 3.1 2 3.2 3.2.1 2 3 23 3.2.2 30 120 MIDI 3 1 2 3 4 5 6 7 7 3.2.3 1 7 120 4 7 2 3.1 3.1 4 7 1 4 7 4 120 4 7 3.1 3.2 3 24 3.1: - - 1 128-20-4 119/120 99.20% X 2 16-10-4 97/120 80.10% X 3 12-10-4 103/120
More information基本 CMYK
Information Communication Technology ICT = Information and Communication Technology 04 16 26 % 5 3 554 1,717 1,4 1,397 3,001 52.5 56.1 52.2 53.6 48.1 47.6 47.9 % 506 470 506 1,482 1,708 1,530 3,238 47.4
More informationpressnet_g36ill.indd
CONTENTS 04 06 08 10 12 14 15 16 18 20 21 22 23 24 25 26 28 30 DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA 32 33 34 36 38 40 41 42 DATA DATA DATA DATA DATA DATA 43 02 CONTENTS 04 06 08 10 12 03 TOPICS
More information2
1 2 119 119 5 500 1 30 102 1 113 3 4 120 2 3 113 5 230 1 1 3 4 5 6 7 8 1 support@kansen.sakura.ne.jp 2 9 3 ( ) 10 11 12 4 1. 2. 3. 4. 13 5 14 15 16 17 18 19 [ ] [ ] 20 [ ] [ ] [ ] 21 22 [ ] 23 < > < >
More information1 1 2 65
3 3 2000 6 14 2 30 4 2 1 1 2 65 1!?? < > 3 2 2 100 19 19 100 100 100 < > 19 2 2 2 2 < > 2000 2000 50 1945 5 50 1945 5 45 20 20 4 1945 4 5 5 5 100 50 20 5 2 20 5 20 5 5 6 20 6 19 5 5 6 5 6 2 20 6 21
More informationuntitled
() () WHO ICD ICD 19 1 http://www.mhlw.go.jp/toukei/sippei/icd.html ICD-1 1995 7 24 16 ICD-9 1979 54 1994 6 ICD-1 ICD-9 1 1995 24 ICD-1 5+2+2 W1 W3 W1 W13 W17 W23 W24 W51 W52 ICD-1 1 () (1) (2) (3) (4)
More information?멸뎅??媛?대뱶 ?쇰낯??indd
72-6420000-000337-01 02 CONTENTS 05 08 09 10 12 13 14 15 16 17 18 19 Living in Gangwon as a Foreigner 03 20 23 25 27 28 30 35 04 (http://ecamp.cyberkorea.ac.kr) (www.socinet.go.kr) - - - - - - - - - -
More information36
36 37 38 P r R P 39 (1+r ) P =R+P g P r g P = R r g r g == == 40 41 42 τ R P = r g+τ 43 τ (1+r ) P τ ( P P ) = R+P τ ( P P ) n P P r P P g P 44 R τ P P = (1 τ )(r g) (1 τ )P R τ 45 R R σ u R= R +u u~ (0,σ
More information3.持続可能な交通の国際比較
43 SS Indices Related with Sustainable Transport and Comparison of the Actual Conditions Direction of Indices for Actual Status of Sustainable Transport Triple bottom line: Economic, Social, Environmental
More information5 5.1 A B mm 0.1mm Nominal Scale 74
5 73 5 5.1 A B 2 1 2 1mm 0.1mm 5.1.1 Nominal Scale 74 5.2. Calc 5.1.2 Ordinal Scale (1) (2) (3) (4) (5) 5 1 5 1 5 4 5-2 -1 0 1 2 1 5 15 25 55 1 1 2 3 4 5 1 5.1.3 5.1.3 Interval Scale 100 80 20 80 100 5
More information, 183
182 , 183 < > < > 184 < > < > < p. > 185 < > < > 186 < p. > < p. > < p. > < p. > < p. > < p. > < p. > 187 < p. > 188 < p. > 189 190 A B A B A B A
More information第Ⅰ章
4 11 () () () () () () () () () 19 () () () () () () () () () 28 () () 30 32 34 36 37-1 - -2 - () -3 - SPSS () ()() () () () -4 - N N N -5 - () A AB B O () A AB B O N N -6 - -7 - () N= -8 - () () () -9
More informationuntitled
1 ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 2 ( ) 1 ( ) ( ) ( ) ( ) 3 ( ) a b ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 4 ( ) ( ) ( ) ( ) ( ) ( ) < > 5 a b c d ( ) ( ) ( ) ( ) ( ) 18 73 ( ) ( ) a b 6 6 c ( ) (
More informationTOKYO Bay CAR FERRY 142 143
140 141 TOKYO Bay CAR FERRY 142 143 145 144 146 147 149 148 150 1 2 3 4 5 6 7 8 9 : ; < = >? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ 151 153 152 155 154 156 157 159 158 161 160
More informationQA Q1. A1. 118 2 Q2. A2. Q3. A3. 1) 2) 3) 4) 5) 6) 7) Q4. A4. 024-536-4343 10:0022:00 03-3264-4343 24 2008/10/15 1 1 2 3 2008/10/15 4: 5() N95 6A() SARS WHO B 7B( 1. 2. (( ) 3. 38 4. 5. 6. 2 2008/10/15
More information01_31窶愴胆1窶窶ー窶慊イfiツ。01-16
157 YAMADA Sohei0 1999 1999 JR JR 158 JR JR JR 800 11 1698 53 21 26 459 33 159 1993 160 1948 1997 JR 100 1321 1873 2001 161 33 13 162 13 53 1734 10 11 12 13 14 163 15 16 164 17 18 19 20 21 22 165 23 166
More informationほっと石川秋季号2014web用.indd
2014 Contents 2014 2 10 11 12 12 13 14 15 16 3 2 4 5 6 7 8 0762251122 0761(22)0794 076(275)2253 0767(53)2482 0768(22)2011 9 10 11 smile 12 13 DATA 14 15 Information www.pref.ishikawa.lg.jp/kenmin/furusatonouzei/
More information超簡単、売上入力画面作成
19 1 10 Access Access 1. Access [ ] < 1 > 2. Access [ ] 3. [ ] [ ] 4. < 2 > 1. [ ] [ ] [ ] [ ] [ ] 2. [ ] < 3 > 3. [ ] 4. [ ] [ ] 5. [ ] < 4 > [ ] Yes/No [ ] 6. < 5 > 1. [ ] [ ] 2. [ ] < 6 > 3. [ ] [ ]
More informationICT 5,293 (2012 3 31 ) http://www.nttcom.co.jp/employ/recruit/ 4. IT IT / / IT / / . BB http://recruit.softbank.jp/graduate/ 3-7-1 28 29 URL.http://www.nliro.or.jp 2014 . ( ) 10 ( ) < > / < > . ( )
More information2
1 2 10 14 945 3000 2012 3 10 4 5 6 7 8 9 10 11 12 2011 11 21 12301430 (1215 ) 13 6 27 17 () ( ) ( ) (112360) 2 (1157) (119099) ((11861231) )( ) (11641205) 3 (1277) 3 4 (1558) (1639)() 12 (1699)( ) 7 (1722)
More informationbc0710_010_015.indd
Case Study.01 Case Study.02 30 Case Study.05 Case Study.03 Case Study.04 Case Study.06 Case Study.07 Case Study.08 Case Study.21 Case Study.22 Case Study.24 Case Study.23 Case Study.25 Case Study.26
More informationCedynaCard_TougouV_01
9:00 17:00 0120 240 057 81 18 803-0077 Troubled Shopping Domestic travel Overseas travel Information Information A B C D E F G H 1 1150 1 1100 1 150 1 150 1 1 1 150 1 150 1 2,000 8,000 300 300 5,000 50
More informationCONTENTS 3 8 10 12 14 15 16 17 18 19 28 29 30 Public relations brochure of Higashikawa 9 2016 September No.755 2
9 2016 September No.755 CONTENTS 3 8 10 12 14 15 16 17 18 19 28 29 30 Public relations brochure of Higashikawa 9 2016 September No.755 2 3 5 4 6 7 9 8 11 10 HIGASHIKAWA TOWN NEWS 12 13 DVD 14 Nature Column
More information<4D F736F F D2090AC906C DCE88C88FE382CC91DE90458BCE984A8ED2816A8E9589C895DB8C B92B28DB82E646F63>
55 19 3 31 1 17 ( ) 1 55 CPI Community Periodontal Index ( 2)50 3,4 50 50 60 55 55 70 73 ( 59.0 2.8 ) ( 60 ( 59.0 2.5 ) 13 ( 59.7 4.3 )) ( 18) 2 ( 19) WHO 4 CPI SPSS 13.0J( ) 18 2 1 1 60 26.4 5.1 0.5 1.3
More informationMH-HD468FM-BL 取扱説明書
MH-HD468FM-BL This appliance is designed for domestic use in Japan only and cannot be used in any other country. No servicing is available outside of Japan. MHP-RKV4 MHP- RBV4 MHP-RK4S 2 2 1 2 3
More information- 1 - - 2 - 320 421 928 1115 12 8 116 124 2 7 4 5 428 515 530 624 921 1115 1-3 - 100 250-4 - - 5 - - 6 - - 7 - - 8 - - 9 - & & - 11 - - 12 - GT GT - 13 - GT - 14 - - 15 - - 16 - - 17 - - 18 - - 19 - -
More informationpuente_vol2.pdf
Opinion puente Vol.02 2 Opinion PROFILE puente Vol.02 3 puente Vol.02 4 puente Vol.02 5 puente Vol.02 6 puente Vol.02 7 puente Vol.02 8 puente Vol.02 9 puente Vol.02 10 PROFILE puente Vol.02 11 INTERVIEW
More information不良債権問題の基本的な考え方
2002 10 11 10 90 1 RCC 2 3 1 2 3 1 2 3 4 4 5 4 5 5 6 0.7 0.1 6 6 7 7 7 8 ABS RCC RCC 9 10 11 19801986 1990 19921994 19922001 12 1985 13 2000 2001 2000 20052003 1995 SFAS121 IAS 1998 IAS36 1993
More information2 KH Coder KH Coder KH Coder KH Coder
Keywords : 1 2 KH Coder KH Coder KH Coder KH Coder 2.1 KH Coder 1 ........,,,..... .. 2 - - - - - - - - - - - - 2.2 3, ......... - - - - - - 4 3 3.1.. 1 - / - - - - - 2 - ....... a . ... 3.2 < >, Sunday
More information