untitled
|
|
|
- いおり あさま
- 7 years ago
- Views:
Transcription
1 005 n X i i 1 5 i 1 5 i 1 X i 3 X i 40 n i1 i i n X i 40 1
2 005 95
3 005 testing statistical hypothesis - A B A B 5 ()()() ()()() 3
4 005 ( ) null hypothesis 5 pp0.01p1 4
5 005 (1) () N i 1 ( X i X ) N X i i X N N N -1 5
6 t 0 ( ) - ( ) {( -1)( ) + ( B -1)( )} 1 1 {( ) + ( ) - } A df 6
7 005 t 0 ( ) - ( ) ( ) ( ) ( ) ( ) df + ( ) ( ) + ( ) ( -1) ( ) ( -1) p<0.05 ( ) ( ) F 0 df df B F0 B F df 1 1df df
8 SD SD cm
9 005 9
10 005 10
11 005 SPSSSPSS SSRI 11
12 005 FreeJSTAT FreeJSTAT 1
13 005 [mode]mo [median] Mdn Me N() N +1 Me N() Me N N + 1 [arithmetic mean]m X [geometric mean]g GM 1, X, 3 n 1 N G ( X X X [dispersion] [range] ()qr [semi-interquartile range] Q Q 1 Q Q 3 Q1 Q3 [mean deviationmean variation]( x i ) MD, MV 1 MD N N i 1 X i X [standard deviation] SD s u 13
![[range] ()qr [semi-interquartile range] Q Q 1 Q Q 3 Q1 Q3 [mean](/docs-images/47/20503985/images/page_13.jpg "deviationmean variation]( x i ) MD, MV 1 MD N N i 1 X i X [standard")
14 005 SD N i 1 ( X X ) i N [coefficient of variation]sd X 100 V CV SD CV 100 X 14
![of variation]sd X](/docs-images/47/20503985/images/page_14.jpg "100 V CV SD CV 100")
15 005 (Z F ) -- (Mann-Whitney) (Wilcoxon) (Kruskal-Wallis)(Friedman) 1-1 t 0 ( ) - ( ) {( -1)( ) + ( B -1)( )} 1 1 {( ) + ( ) - } A df 1- t 0 ( ) - ( ) ( ) ( ) ( ) ( ) df + ( ) ( ) + ( ) ( -1) ( ) ( -1) 15
16 005 t 0 df 1 F 0 ( ) ( ) df ( 1 )( ) A B () U A U B A A + 1 ( A) B+ - A B B + 1 ( A) B+ - B UA UB U Z 0 ( A) B 1 U - A B A + B1 Z0 5% 1.961% U - 16
17 005 A B a b a+ b c d c+ d a+ c b+ d () χ n( a d - b c - n/) ( a + b) c + d ( a + c)( b + d) Zi Zi 0 Zi R z R n( n + 1) / 4] 1/ n( n + 1)(n + 1) / 4 z 5% 1.961% A B A + 17
![Zi Zi 0 Zi R z R n( n + 1) / 4] 1/ n( n +](/docs-images/47/20503985/images/page_17.jpg "1)(n + 1) / 4 z 5% 1.961%.580.1 3.9. A B A + 17")
18 005 k i ()Ri () N n i N ( N + 1) R i N H k1 H k 1 Ri N( N + 1) i 1 ni 3( N + 1) ni () C H H/C 1 T C 1 N( N 1) ( t t) T t [] k k (k1) χ 1 k-1 ( f T ) N 4 / ij i f ij T i 18
![() C H H/C 1 T C 1 N( N 1) ( t t) T t [] k](/docs-images/47/20503985/images/page_18.jpg "k (k1) χ 1 k-1 ( f T ) N 4 / ij i f ij T i")
19 005 k (k1) χ r 1 k nk( k + 1) j 1 ( R ) j 3n( k + 1) R j j N k k k 19
20 005 H 0 : µ µ 1 H : µ µ H 0 : µ µ µ H : µ µ 1 1 H1 : µ 1 µ 3 H : µ µ (Ryan) (Tukey) (Duncan) (Scheffe) (LSD) 0
21 005 3 x + 5 y y 5x + 3x 8 xy xy x y x y x y (x, y ) (x, y) (x3, y3)(x,y ) x y () () ()() 1
22 005 (x)(y) (x)(y) x x y () () () XY (XY) (X) Y A B X Y {N X N ( XY X Y X ) }{N Y ( Y ) }
23 005 r (r) ()0 t 0 r N df N- 1 r 0 df r t df180.1% 3
24 005. 4
25 005 or. 5
26 005 A B 3. 6
27 005 ] i j (Expectation) E ij N i. N N... j Eij i j Ni. i Nj. j. N.. i 1 j 1 O E M K ( ij ij ) df ( M 1)( K 1) Oij i j Observation Eij i j Expectation M K E ij %
28 005 MK 5 1. Fisher
29 005 χ n( ad bc) ( a + b)( a + c)( b + d)( c + d) df ( -1)( -1) 1 5 n n( ad bc ) χ ( a + b)( a + c)( b + d)( c + d) df ( -1)( -1) 1. 9
30 005 Fisher s exact test 0 (a) 1 14 C 1 7 C C 5 (17!) (10!) (14!) (13!) (7!) (1!) (5!) (!) (8!) (b) 14 C 13 7 C C 4 (17!) (10!) (14!) (13!) (7!) (13!) (4!) (1!) (9!) (c) C 14 7 C C 3 (17!) (10!) (14!) (13!) (7!) (14!) (3!) (0!) (10!). 30
31 005 B C df ( B C χ B + C ) ( -1)( -1) 1. 31
Netcommunity SYSTEM αNXⅡ typeS/typeM 取扱説明書
2 3 4 5 6 7 1 2 3 4 5 6 8 3 3-38 1 2 3 4 5 9 1 2 3 10 4 5 11 6 12 1 1-2 1 1-3 1 1-4 1 1-5 1 micro SD 1-6 1 1-7 1 1 1-8 1 1-9 1 100 10 TEN 1 1-10 1 1-11 1 1-12 1 1-13 1 1-14 1 1 2 7 8 9 1 3 4 5 6 1-15 1
カテゴリ変数と独立性の検定
II L04(2015-05-01 Fri) : Time-stamp: 2015-05-01 Fri 22:28 JST hig 2, Excel 2, χ 2,. http://hig3.net () L04 II(2015) 1 / 20 : L03-S1 Quiz : 1 2 7 3 12 (x = 2) 12 (y = 3) P (X = x) = 5 12 (x = 3), P (Y =
取扱説明書 [F-08D]
![取扱説明書 [F-08D]](/thumbs/48/23832237.jpg "取扱説明書 [F-08D]")
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 a bc d a b c d 17 a b cd e a b c d e 18 19 20 21 22 a c b d 23 24 a b c a b c d e f g a b j k l m n o p q r s t u v h i c d e w 25 d e f g h i j k l m n o p q r s
A B C A B C X Y Z
Argonauta 8: 27-37 (2003) 1 ANOVA, analysis of variance t 1980 90 ANOVA ANOVA Underwood, 1997 ANOVA ANOVA ANOVA 1975 Sokal & Rohlf 1981 1990 Underwood 1997 1997 Zar 1999 1-way ANOVA 2-way, 3-way, ANOVA,
: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :
1 1 1 1.1 : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1 1.2 : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1 1.2.1 t :
untitled
20 7 1 22 7 1 1 2 3 7 8 9 10 11 13 14 15 17 18 19 21 22 - 1 - - 2 - - 3 - - 4 - 50 200 50 200-5 - 50 200 50 200 50 200 - 6 - - 7 - () - 8 - (XY) - 9 - 112-10 - - 11 - - 12 - - 13 - - 14 - - 15 - - 16 -
untitled
19 1 19 19 3 8 1 19 1 61 2 479 1965 64 1237 148 1272 58 183 X 1 X 2 12 2 15 A B 5 18 B 29 X 1 12 10 31 A 1 58 Y B 14 1 25 3 31 1 5 5 15 Y B 1 232 Y B 1 4235 14 11 8 5350 2409 X 1 15 10 10 B Y Y 2 X 1 X
Micro-D 小型高密度角型コネクタ
Micro- 1 2 0.64 1.27 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 2 3 4 5 6 7 8 9 10 11 12 13 1.09 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 3 4 J J
平成13年度日本分析センター年報
200 150 70 234 Bq m 3 1 148 Bq m -3 100 0 550 0 11/1 0:00 am 11/2 0:00 am 11/3 0:00 am 25 20 15 10 11/1 0:00 am 11/2 0:00 am 11/3 0:00 am 39.2 Bq m -3 11/4 0:00 am 30 990 19.3 Bq m -3 60 15.8 Bq m -3 14.1
untitled
1 Hitomi s English Tests 1 2 3 4 5 6 7 8 9 10 11 12 13 14 1 1 0 1 1 0 1 0 0 0 1 0 0 1 0 2 0 0 1 1 0 0 0 0 0 1 1 1 1 0 3 1 1 0 0 0 0 1 0 1 0 1 0 1 1 4 1 1 0 1 0 1 1 1 1 0 0 0 1 1 5 1 1 0 1 1 1 1 0 0 1 0
I L01( Wed) : Time-stamp: Wed 07:38 JST hig e, ( ) L01 I(2017) 1 / 19
I L01(2017-09-20 Wed) : Time-stamp: 2017-09-20 Wed 07:38 JST hig e, http://hig3.net ( ) L01 I(2017) 1 / 19 ? 1? 2? ( ) L01 I(2017) 2 / 19 ?,,.,., 1..,. 1,2,.,.,. ( ) L01 I(2017) 3 / 19 ? I. M (3 ) II,
yamadaiR(cEFA).pdf
R 2012/10/05 Kosugi,E.Koji (Yamadai.R) Categorical Factor Analysis by using R 2012/10/05 1 / 9 Why we use... 3 5 Kosugi,E.Koji (Yamadai.R) Categorical Factor Analysis by using R 2012/10/05 2 / 9 FA vs
PSCHG000.PS
a b c a ac bc ab bc a b c a c a b bc a b c a ac bc ab bc a b c a ac bc ab bc a b c a ac bc ab bc de df d d d d df d d d d d d d a a b c a b b a b c a b c b a a a a b a b a
H27 28 4 1 11,353 45 14 10 120 27 90 26 78 323 401 27 11,120 D A BC 11,120 H27 33 H26 38 H27 35 40 126,154 129,125 130,000 150,000 5,961 11,996 6,000 15,000 688,684 708,924 700,000 750,000 1300 H28
[ ](責).indd
.indd](/thumbs/94/118228858.jpg "[ ](責).indd")
163 21 9 22 6 23 3 37 50 6 164 62 4 JEL C93 H44 R41 R48 21 9 23 22 6 23 3 11 23 6 2003 5 2 165 3 3 2003 2009 5 1999 11 1999 6 2003 2003 ETC ETC 1,000 166 62 4 ETC 1,000 3 2009 4 9 2 1,000 2008 9 1,000
, ,
41 42 73 121 121 10 122 11 122 12 131 13 131 15 10 133 16 11 133 17 12 136 18 13 141 19 14 141 20 15 146 21 16 149 22 17 149 23 174 18 24 73 19 241,301 25 20 242,301 (1) 26 21 331 27 22 241,341 28 23 242,341
untitled
2006,, 1 2 3 4 199087 20 3,, 3 A vs B, B vs C, C vs A 0.05 0.01 t[] t[] 2 5 6 0.050.01 3 3 LSD 7 8 1 2 9 3 A vs B, B vs C, C vs A 1 1 10.05 = 0.95 3 0.950.950.95 = 0.857375 31 10.857375 = 0.142625 (14.3)
Microsoft Word - 研究デザインと統計学.doc
Study design and the statistical basics Originality Accuracy Objectivity Verifiability Readability perfect Interdisciplinary Sciences Health Science 2014.12.25 2 1. 7 2. 7 3. Bias8 4. random sampling8
現代日本論演習／比較現代日本論研究演習I「統計分析の基礎」
URL: http://tsigeto.info/statg/ I ( ) 3 2017 2 ( 7F) 1 : (1) ; (2) 1998 (70 20% 6 8 ) (30%) ( 2) ( 2) 2 1. (4/13) 2. SPSS (4/20) 3. (4/27) [ ] 4. (5/11 6/1) [1, 4 ] 5. (6/8) 6. (6/15 6/29) [2, 5 ] 7. (7/6
総合薬学講座 生物統計の基礎
2013 10 22 ( ) 2013 10 22 1 / 40 p.682 1. 2. 3 2 t Mann Whitney U ). 4 χ 2. 5. 6 Dunnett Tukey. 7. 8 Kaplan Meier.. U. ( ) 2013 10 22 2 / 40 1 93 ( 20 ) 230. a t b c χ 2 d 1.0 +1.0 e, b ( ) e ( ) ( ) 2013
2
2015/02/20 JMOOC MOOC 1 2 JMOOC 2014 6 16 2014 7 20 gacco NTT 3 Week1 15 20 Week2 15 20 Week3 15 10 25 Week4 15 20 35 60 40 100 58 4 Week1 400 400 800 JMOOC 11 5 12,068 1,300 10.8% 58 100 99 98 10 6 7
こんにちは由美子です
Analysis of Variance 2 two sample t test analysis of variance (ANOVA) CO 3 3 1 EFV1 µ 1 µ 2 µ 3 H 0 H 0 : µ 1 = µ 2 = µ 3 H A : Group 1 Group 2.. Group k population mean µ 1 µ µ κ SD σ 1 σ σ κ sample mean
(1) ) ) (2) (3) (4) (5) (1) (2) b (3)..
... -1... -1... -2... -6.... -1 (1)... -1 1)... -1 2)... -14 (2)... -19 (3)... -52 (4)... -18 (5)... -136.... -196 (1)... -196 (2) b... -224 (3)... -233.... -251.... -286.... -289 (1)... -289 (2)... -32
分布
(normal distribution) 30 2 Skewed graph 1 2 (variance) s 2 = 1/(n-1) (xi x) 2 x = mean, s = variance (variance) (standard deviation) SD = SQR (var) or 8 8 0.3 0.2 0.1 0.0 0 1 2 3 4 5 6 7 8 8 0 1 8 (probability
3/4/8:9 { } { } β β β α β α β β
α β : α β β α β α, [ ] [ ] V, [ ] α α β [ ] β 3/4/8:9 3/4/8:9 { } { } β β β α β α β β [] β [] β β β β α ( ( ( ( ( ( [ ] [ ] [ β ] [ α β β ] [ α ( β β ] [ α] [ ( β β ] [] α [ β β ] ( / α α [ β β ] [ ] 3
untitled
186 17 100160250 1 10.1 55 2 18.5 6.9 100 38 17 3.2 17 8.4 45 3.9 53 1.6 22 7.3 100 2.3 31 3.4 47 OR OR 3 1.20.76 63.4 2.16 4 38,937101,118 17 17 17 5 1,765 1,424 854 794 108 839 628 173 389 339 57 6 18613
untitled
1. 3 14 2. 1 12 9 7.1 3. 5 10 17 8 5500 4. 6 11 5. 1 12 101977 1 21 45.31982.9.4 79.71996 / 1997 89.21983 41.01902 6. 7 5 10 2004 30 16.8 37.5 3.3 2004 10.0 7.5 37.0 2004 8. 2 7 9. 6 11 46 37 25 55 10.
裁定審議会における裁定の概要 (平成23年度)
23 23 23 4 24 3 10 11 12 13 14 () 1 23 7 21 23 12 14 (19 ) 30 1.876% 60 8 24 19 78 27 1 (10) 37 (3) 2 22 9 21 23 5 9 21 12 1 22 2 27 89 10 11 6 A B 3 21 12 1 12 10 10 12 5 1 9 1 2 61 ( 21 10 1 11 30 )
<91E6825289F1938C966B95FA8ECB90FC88E397C38B5A8F708A778F7091E589EF8EC08D7388CF88F5837D836A83858341838B566572312E696E6464>
和県監査H15港湾.PDF
...1...1...1...1...1...1...1...1...2...2...2...3...3...3...5...5...10...11...12...13...13...13...14...14...14...14...14...14...15...15...15...15...15 ...16...17 14...17...18...18...19...21...23 2...25...27...27...28...28...28
-26-
-25- -26- -27- -28- -29- -30- -31- -32- -33- -34- -35- -36- -37- -38- cm -39- -40- 1 2 3 4 4 3 2 1 5 5-41- -42- -43- -44- -45- -46- -47- -48- -49- -50- cm -51- -52- -53- -54- -55- -56- -57- -58- -59- -60-
untitled
() () () () () ( ) () ( ) () ( ) () 2 () () 2 () () ( ) () () () 2 () () 2 3 ( ) () ( ) 2 3 4 () () 2 3 4 () () ( )( ) ( ) 2 ( ) 3 () () 2 3 () () 2 3 () () () () () () () () (( ) ( ) (( ))( )( ) ) 2 3
180 30 30 180 180 181 (3)(4) (3)(4)(2) 60 180 (1) (2) 20 (3)
12 12 72 (1) (2) (3) 12 (1) (2) (3) (1) (2) (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (1) (2) 180 30 30 180 180 181 (3)(4) (3)(4)(2) 60 180 (1) (2) 20 (3) 30 16 (1) 31 (2) 31 (3) (1) (2) (3) (4) 30
... 6 1) 2) No. 01 02 03 04 05 06 07 08 09 10 11 12 No. 1 2 2 3 3cm 4 untitled
1....1 2....2 2.1...2 2.2...2 3....14 3.1...14 3.2...14 4....15 4.1...15 4.2...18 4.3...21 4.4...23 4.5...26 5....27 5.1...27 5.2...35 5.3...54 5.4...64 5.5...75 6....79 6.1...79 6.2...85 6.3...94 6.4...
113 120cm 1120cm 3 10cm 900 500+240 10 1 2 3 5 4 5 3 8 6 3 8 6 7 6 8 4 4 4 4 23 23 5 5 7
untitled
21 14 487 2,322 2 7 48 4 15 ( 27) 14 3(1867) 3 () 1 2 3 ( 901923 ) 5 (1536) 3 4 5 6 7 8 ( ) () () 9 10 21 11 12 13 14 16 17 18 20 1 19 20 21 22 23 21 22 24 25 26 27 28 22 5 29 30cm 7.5m 1865 3 1820 5
1948 1907 4024 1925 14 19281929 30 111931 4 3 15 4 16 3 15 4 161933 813 1935 12 17 11 17 1938 1945 2010 14 221 1945 10 1946 11 1947 1048 1947 1949 24
15 4 16 1988 63 28 19314 29 3 15 4 16 19283 15294 16 1930 113132 3 15 4 16 33 13 35 12 3 15 4 16 1945 10 10 10 10 40 1948 1907 4024 1925 14 19281929 30 111931 4 3 15 4 16 3 15 4 161933 813 1935 12 17 11
Microsoft Word - 入居のしおり.doc
1 1 2 2 2 3 2 4 3 5 3 6 3 7 3 8 4 1 7 2 7 3 7 4 8 5 9 6 9 7 10 8 10 9 11 10 11 11 11 12 12 13 13 1 14 2 17 3 18 4 19 5 20 6 22 (1) 24 (2) 24 (3) 24 (4) 24 (5) 24 (6) 25 (7) 25 (8) 25 (9) 25 1 29 (1) 29
( )
( ) () () 3 cm cm cm cm cm cm 1000 1500 50 500 1000 1000 1500 1000 10 50 300 1000 2000 1000 1500 50 10 1000 2000 300 50 1000 2000 1000 1500 50 10 1000 2000 300 30 10 300 1000 2000 1000 1500 1000
河川砂防技術基準・基本計画編.PDF
4 1 1 1 1 1 2 1 2.1 1 2.2 2 2.3 2 2.4 2 3 2 4 3 2 4 1 4 1.1 4 1.2 4 2 4 2.1 4 2.2 4 2.3 5 2.4 5 2.5 5 2.5.1 5 2.5.2 5 2.6 5 2.6.1 5 2.6.2 5 2.6.3 5 2.6.4 5 2.6.5 6 2.7 6 2.7.1 6 2.7.2 6 2.7.3 6 2.7.4
4 100g
100g 10 20 30 40 50 60 70 80 4 5 7 9 12 15 19 24 60 100 10 80 100 20 10 5 20 195 20-1- 60 60 15 100 60 100 15 15 15 100 15 15 60 100 10 60 100 100 15 10 10 60 100 15 10 15 10 5-2- 80 80 24 100 80 100 24
2002 (1) (2) (3) (4) (5) (1) (2) (3) (4) (5) (1) (2) (3) (4) (5) (6) (7) (8) (1) (2) (3) (4) (1) (2) (3) (4) (5) (6) (7) (8) No 2,500 3 200 200 200 200 200 50 200 No, 3 1 2 00 No 2,500 200 7 2,000 7
-1- 4 1 2 4-2- -- 2 2 cm 0 80cm 2 80cm 80cm 80cm 50cm 80cm 50cm 6 80cm 100 50 50 cm 10 6 4 50cm 4 4 50cm -4- -5- cm 50cm 4 4 4 50cm 50cm 4 80cm 50cm 80cm 50cm 6 cm -6- 20 250cm 1 2 1 4 0cm 60cm cm cm 1
現代日本論演習／比較現代日本論研究演習I「統計分析の基礎」
URL: http://tsigeto.info/statg/ I () 3 2016 2 ( 7F) 1 : (1); (2) 1998 (70 20% 6 9 ) (30%) ( 2) ( 2) 2 1. (4/14) 2. SPSS (4/21) 3. (4/28) [] 4. (5/126/2) [1, 4] 5. (6/9) 6. (6/166/30) [2, 5] 7. (7/78/4)
デジタルオルソ作成マニュアルに関する調査研究作業
A1-No.289 16 1 ...1....1....1....4...5...11... 11...16...16...16...18...22...24...26...29...31...31....31. (TIN)...31....31....31...41....41....43 . 14 20 IT. GZ-1 OR-1 1 1 1 2 2 2 3 A A B A a a a a 3
学歴内婚のシミュレーション分析
18 i 1 3 2 5 2.1... 5 2.2... 8 3 1 11 3.1 1... 11 3.2 1... 14 4 2 15 4.1 2... 15 4.2 2... 15 5 3 17 5.1 3... 17 5.2 3... 17 6 19 6.1... 19 6.2... 19 21 1 2.1 1:-1955... 6 2.2 2:1956-70... 6 2.3 3:1971-85...
Rによる計量分析：データ解析と可視化 - 第3回 Rの基礎とデータ操作・管理
R 3 R 2017 Email: gito@eco.u-toyama.ac.jp October 23, 2017 (Toyama/NIHU) R ( 3 ) October 23, 2017 1 / 34 Agenda 1 2 3 4 R 5 RStudio (Toyama/NIHU) R ( 3 ) October 23, 2017 2 / 34 10/30 (Mon.) 12/11 (Mon.)
1 1 ( ) ( 1.1 1.1.1 60% mm 100 100 60 60% 1.1.2 A B A B A 1
1 21 10 5 1 E-mail: qliu@res.otaru-uc.ac.jp 1 1 ( ) ( 1.1 1.1.1 60% mm 100 100 60 60% 1.1.2 A B A B A 1 B 1.1.3 boy W ID 1 2 3 DI DII DIII OL OL 1.1.4 2 1.1.5 1.1.6 1.1.7 1.1.8 1.2 1.2.1 1. 2. 3 1.2.2
58 5 5.2 1933 (Proctor) (JIS A 1210) ( 2.5 kg 4.5 kg ) (2.5 kg 30 cm 4.5 kg 45 cm) 5.3 5 5.1 ρ d w ρ d max w opt 5.1
57 5 5.1 2 2.1 ( ) ( ) 58 5 5.2 1933 (Proctor) (JIS A 1210) ( 2.5 kg 4.5 kg ) (2.5 kg 30 cm 4.5 kg 45 cm) 5.3 5 5.1 ρ d w ρ d max w opt 5.1 5.3 59 5.1 v a = 0 % S r = 100 % 5.3 5.1 5 5.1 5.4 2 2 5.2 3
: Napoleon IOC : IOC? I = Imaginative O = Obsession C = Committee
Napoleon (IOC ver.1.2) Napoleon IOC 2006 9 29 : Napoleon 2.1 5 IOC : IOC? I = Imaginative O = Obsession C = Committee Napoleon IOC Wikipedia Napoleon 0 Napoleon 2 1 2 1.0................................................
AHPを用いた大相撲の新しい番付編成
5304050 2008/2/15 1 2008/2/15 2 42 2008/2/15 3 2008/2/15 4 195 2008/2/15 5 2008/2/15 6 i j ij >1 ij ij1/>1 i j i 1 ji 1/ j ij 2008/2/15 7 1 =2.01/=0.5 =1.51/=0.67 2008/2/15 8 1 2008/2/15 9 () u ) i i i
stat2_slides-13.key
!2 !3 !4 !5 !6 !7 !8 !9 !10 !11 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
16 10 19
16 10 19 1 1 10 10 11 10 12 10 2 13 10 14 10 15 16 15 17 15 18 15 19 15 20 21 20 22 20 23 20 24 20 3 26 28 29 30 31 32 33 34 35 36 38 39 40 41 42 4 10 10 11 10 12 10 13 10 5 14 10 15 16 15 17 15 18 15
II 2 3.,, A(B + C) = AB + AC, (A + B)C = AC + BC. 4. m m A, m m B,, m m B, AB = BA, A,, I. 5. m m A, m n B, AB = B, A I E, 4 4 I, J, K
II. () 7 F 7 = { 0,, 2, 3, 4, 5, 6 }., F 7 a, b F 7, a b, F 7,. (a) a, b,,. (b) 7., 4 5 = 20 = 2 7 + 6, 4 5 = 6 F 7., F 7,., 0 a F 7, ab = F 7 b F 7. (2) 7, 6 F 6 = { 0,, 2, 3, 4, 5 },,., F 6., 0 0 a F
取扱説明書 ［F-12C］
F-12C 11.7 1 2 3 4 5 6 7 8 9 10 11 12 13 14 a bc b c d d a 15 a b cd e a b c d e 16 17 18 de a b 19 c d 20 a b a b c a d e k l m e b c d f g h i j p q r c d e f g h i j n o s 21 k l m n o p q r s a X
50 2 I SI MKSA r q r q F F = 1 qq 4πε 0 r r 2 r r r r (2.2 ε 0 = 1 c 2 µ 0 c = m/s q 2.1 r q' F r = 0 µ 0 = 4π 10 7 N/A 2 k = 1/(4πε 0 qq
49 2 I II 2.1 3 e e = 1.602 10 19 A s (2.1 50 2 I SI MKSA 2.1.1 r q r q F F = 1 qq 4πε 0 r r 2 r r r r (2.2 ε 0 = 1 c 2 µ 0 c = 3 10 8 m/s q 2.1 r q' F r = 0 µ 0 = 4π 10 7 N/A 2 k = 1/(4πε 0 qq F = k r
A
A 2563 15 4 21 1 3 1.1................................................ 3 1.2............................................. 3 2 3 2.1......................................... 3 2.2............................................
Taro10-名張１審無罪判決.PDF
-------------------------------------------------------------------------------- -------------------------------------------------------------------------------- -1- 39 12 23 36 4 11 36 47 15 5 13 14318-2-
10:30 12:00 P.G. vs vs vs 2
1 10:30 12:00 P.G. vs vs vs 2 LOGIT PROBIT TOBIT mean median mode CV 3 4 5 0.5 1000 6 45 7 P(A B) = P(A) + P(B) - P(A B) P(B A)=P(A B)/P(A) P(A B)=P(B A) P(A) P(A B) P(A) P(B A) P(B) P(A B) P(A) P(B) P(B