2 () : ( )GDP () : () : POS STEP 1: STEP 2: STEP 3: STEP 4: 3 2

Similar documents
statstcs statstcum (EBM) 2 () : ( )GDP () : () : POS STEP 1: STEP 2: STEP 3: STEP 4: 3 2

countif Excel E4:E10E4:E10 OK 2/25

Excel97関数編

(Nov/2009) 2 / = (,,, ) /8

2変量データの共分散・相関係数・回帰分析

countif Excel E4:E10E4:E10 OK 2/27

1 1 ( ) ( % mm % A B A B A 1

populatio sample II, B II? [1] I. [2] 1 [3] David J. Had [4] 2 [5] 3 2

151021slide.dvi

untitled


I L01( Wed) : Time-stamp: Wed 07:38 JST hig e, ( ) L01 I(2017) 1 / 19

() Statistik19 Statistik () 19 ( ) (18 ) ()

saihata.doc

untitled

(I) (II) 2 (I) 2 (II) 2 (III) (I) (II) (II) : 2 Typeset by Akio Namba usig Powerdot. 2 / 47

Microsoft Word - 1.データの整理.doc

ユニセフ表紙_CS6_三.indd


P15 P211 1 P1 P4 P2 P3 P4 P17

6.1 (P (P (P (P (P (P (, P (, P.

2 2.1 Excel 2013 Excel




Microsoft PowerPoint - Lecture 10.ppt [互換モード]


y = x x R = 0. 9, R = σ $ = y x w = x y x x w = x y α ε = + β + x x x y α ε = + β + γ x + x x x x' = / x y' = y/ x y' =

2 Excel =sum( ) =average( ) B15:D20 : $E$26 E26 $ =A26*$E$26 $ $E26 E$26 E$26 $G34 $ E26 F4

統計学のポイント整理

untitled

ii : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 27 (1) Excel : : : : : : : : : : : : : : : : : : : : : :


renshumondai-kaito.dvi

( 28 ) ( ) ( ) 0 This note is c 2016, 2017 by Setsuo Taniguchi. It may be used for personal or classroom purposes, but not for commercial purp

0 (1 ) 0 (1 ) 01 Excel Excel ( ) = Excel Excel = =5-5 3 =5* 5 10 =5/ 5 5 =5^ 5 5 ( ), 0, Excel, Excel 13E E

ユニセフ表紙_CS6_三.indd

( )/2 hara/lectures/lectures-j.html 2, {H} {T } S = {H, T } {(H, H), (H, T )} {(H, T ), (T, T )} {(H, H), (T, T )} {1

6.1 (P (P (P (P (P (P (, P (, P.101

untitled

9 2 1 f(x, y) = xy sin x cos y x y cos y y x sin x d (x, y) = y cos y (x sin x) = y cos y(sin x + x cos x) x dx d (x, y) = x sin x (y cos y) = x sin x

Microsoft PowerPoint - 13統計の分析と利用_1-1.pptx


MICROLINK マリオネット 操作説明書

1 Excel 1. [Standard] (call [Call Standard]) Excel [ ] [E ] Excel m 1 ( ) (

<4D F736F F D B B83578B6594BB2D834A836F815B82D082C88C60202E646F63>

_11_19_2.indd

¥¤¥ó¥¿¡¼¥Í¥Ã¥È·×¬¤È¥Ç¡¼¥¿²òÀÏ Âè2²ó

1 1.1 Excel Excel Excel log 1, log 2, log 3,, log 10 e = ln 10 log cm 1mm 1 10 =0.1mm = f(x) f(x) = n


* n x 11,, x 1n N(µ 1, σ 2 ) x 21,, x 2n N(µ 2, σ 2 ) H 0 µ 1 = µ 2 (= µ ) H 1 µ 1 µ 2 H 0, H 1 *2 σ 2 σ 2 0, σ 2 1 *1 *2 H 0 H

年計グラフ作成システム

TOPIX30 2 / 37

PowerPoint プレゼンテーション

セゾン保険_PDF用.indd

Excel基礎講座演習-表紙とはじめにv1.3.doc

untitled

untitled

untitled


yamadaiR(cEFA).pdf

3

Excel 2007 Excel 2007 Excel 2007

相関係数と偏差ベクトル

‚åŁÎ“·„´Šš‡ðŠp‡¢‡½‹âfi`fiI…A…‰…S…−…Y…•‡ÌMarkovŸA“½fiI›ð’Í

日本の不動産市場における価格情報とボラティリティの非対称について:大阪市の実証研究から

α β *2 α α β β α = α 1 β = 1 β 2.2 α 0 β *3 2.3 * *2 *3 *4 (µ A ) (µ P ) (µ A > µ P ) 10 (µ A = µ P + 10) 15 (µ A = µ P +

C:/texfile/2010/comp_rad_phys_2010.dvi

ii 3.,. 4. F. (), ,,. 8.,. 1. (75% ) (25% ) =9 7, =9 8 (. ). 1.,, (). 3.,. 1. ( ).,.,.,.,.,. ( ) (1 2 )., ( ), 0. 2., 1., 0,.

FX ) 2

FX自己アフリエイトマニュアル

2 1,2, , 2 ( ) (1) (2) (3) (4) Cameron and Trivedi(1998) , (1987) (1982) Agresti(2003)

,

iR-ADV C2230/C2220 製品カタログ


2 3

リスクとは何か?

untitled

Q1. A. Q2. A A IQ35 IQ

関 数

橡ボーダーライン.PDF


PSCHG000.PS

Microsoft Word - 研究デザインと統計学.doc

x () g(x) = f(t) dt f(x), F (x) 3x () g(x) g (x) f(x), F (x) (3) h(x) = x 3x tf(t) dt.9 = {(x, y) ; x, y, x + y } f(x, y) = xy( x y). h (x) f(x), F (x


2 Part A B C A > B > C (0) 90, 69, 61, 68, 6, 77, 75, 20, 41, 34 (1) 8, 56, 16, 50, 43, 66, 44, 77, 55, 48 (2) 92, 74, 56, 81, 84, 86, 1, 27,

hokou

PDF


H8.6 P

サイボウズ ガルーン 3 管理者マニュアル

H1_H4_ ai

P indd


85

1


1 2 STEP 1 STEP 2 STEP 3

1

Transcription:

/ //descrptvea1-a.tex 1 1 2 2 3 2 3.1............................................. 3 3.2............................................. 3 4 4 5 9 6 12 7 15 8 19 9 22 1 statstcs statstcum (EBM) 1

2 () : ( )GDP () : () : POS STEP 1: STEP 2: STEP 3: STEP 4: 3 2

3.1 2 * 1 0 ( ) () ( ) * 3.2 IQ 3

* Staley Smth Steves 1946 O the theory of scales of measuremet 4 Wkpeda, Excel help 4 Frequecy Dstrbuto Wdows (McroSoft) OpeOffce.org 4.1 4

(cm) 3 10 7 BMI ( ) (m) 2 BMI 18.5 18.5 25 25 30 30 100 BMI BMI 1: 4.2 100 5 1 5 : 1 12 2 26 3 15 4 7 5 5 2 (Hstogram) 5

2 (tally mark) x skewess L L L L kurtoss, excess ; leptokurtc ; platykurtc Hstogram 2 4 10 100 2 6

Q 1, Q 2, Q 3 Q 1, Q 3 360 1. (max) (m) rage 2. (class) 10 20 Starjes k = 1 + log 2 = 1 + 3.3 log 1 0 3. (class wdth) R/k 4. 7

3 (Boxchart) A B C D E F G 1 ( ) ( ) 2 a 0 a 1 x 1 f 1 F 1 = f 1 p 1 = f 1/ P 1 = p 1 3 a 1 a 2 x 2 f 2 F 2 = f 1 + f 2 p 2 = f 2/ P 2 = p 1 + p 2 4 a 2 a 3 x 3 f 3 F 3 = f 1 + f 2 + f 3 p 3 = f 3/ P 3 = p 1 + p 2 + p 3 5 6 a k 1 a k x k f k F k = p k = f k / P k = 1 7 1 x = (a 1 + a )/2,( = 1, 2,, k) F k = f 1 + f 2 + + f k =, P k = p 1 + p 2 + + p k = 1 =max( ) =m( ) D2 D6 =frequecy, ( A2 A6) CTRL+SHIFT+ENTER E2 =D2 E3 =D2+D3 E3 E4 E6 F2 =D2/D$7 frequecy 1. 2 2. 1 3. 4. 8

4 5 5 (average,mea) (SD,stadard devato),meda ( (varace) (kurtoss, excess)(bulge ) (skewess) (rage) (m) (max) (sum) (sze) 1. Excel -VBA 2.OK 3. OK 9

{X, = 1,, }, sort (Order Statstcs) {X (), = 1,, } X 1, X 2,, X X (1) X (2) X () X 1 + X 2 + + X = X (1) + X (2) + + X () X k x 1, x 2,, x k (k ) ( ) x 1 x 2 x k f 1 f 2 f k p 1 p 2 p k 1 2 f = 1, = 1, 2,, X = X 1 + X 2 + + X = x 1 f 1 + x 2 f 2 + + x k f k = j x f j, f = f 1 + f 2 + + f k = X2 = X2 1 + X 2 2 + + X 2 = x 2 1 f 1 + x 2 2 f 2 + + x 2 k f k = j x2 j f j, 1 1 X = 1 (X 1 + X 2 + + X ) = x 1 p 1 + x 2 p 2 + + x k p k = j x j p j, X2 = 1 (X2 1 + X 2 2 + + X 2 ) = x 2 1 p 1 + x 2 2 p 2 + + x 2 k p k = j x j p 2 j, X = 1 =1 X = 1 k j=1 x jf j = k j=1 x jp j AVERAGE SE SE = s = (X X) 2 = X2 X2 j = x2 j f j X 2 j = x2 j p j X 2 ( 1) ( 1) ( 1) 1 Me Me = X ((/2)+1) ( ) = X ((+1)/2) ( ) = meda( ) 2 = quartle(, 2) Mo ( ) MODE 2 #N/A (Not Avalable) max f MODE # N/A (Not Avalable) SD SD = s = (X X) 2 STDEV VAR ( 1) 10

s 2 s 2 = 1 1 VAR (X X) 2 = ( 1 ) (X X j ) 2 = 1 2 <j =1 VARP ( 1) v 2 = 1 (X X) 2 = 1 =1 k x 2 jf j X 2 = j=1 k x 2 jp j X 2 j=1 k x 2 jp j X 2 KW KURT 1 ( ) 4 X X 3 s 3 SK SKEW 1 ( ) 3 X X s L L L R L R = max( ) m( ) () MAX x 1, x 2,, x max x MIN x 1, x 2,, x m x SUM x 1, x 2,, x x, N COUNTA 95.0% 95% 1/2 95% TM(trmmed mea) TRIMMEAN TRIMMEAN(, ) (1) (2) 20 0.2 20 0.2 = 4 2 2 4 MD (Mea Devato) = 1 X X j=1 11

Z () Z = X X s x ( 0 1 50 10( 100) 10Z + 50 X 100 15 Q 1, Q 2, Q 3 25% 4 25% Q 1 2 50% 3 75% 3 =QUARTILE(, ) (, QUARTILE ) = (0, ), (1, 1 (25%)) (2, 2 = (50%)) (3, 3 (75%)) (4, ) Q 3 Q 1 (dectle) (percetle) ( 4 CV(Coeffcet of Varato)= s x X ( ) 10% 10% 0.9 1.1 68.3% 0.31100 68.3 0.31 ± 0.031 X N(µ, σ 2 ) µ 0.6826 68.3% ±2 σ 0.9544 X 6 1 2 (sample covarace): =COVAR( A, B) Cov(x, y) = 1 1 = COV AR(x, y ) (X X)(Y Y ) 1 2 X, Y 0 12

1 N 1 +1 2 COVAR N=2 2 COVAR VARP 2 ( ) ( ) (0 ) (sample correlato coeffcet): =CORREL( A, B) = correl(x, y ) x s x, y s y ρ = Cov(x, y) s x s y ( x = Cov, y ) s x s y X X, Y Y, = 1, 2,, s x s y N CORREL PEARSON 2 N 3 CORREL ( PEARSON) 2 2 2 1 +1 2 ( ) ( ) (0 ) 13

6 1 0.7 0.7 0.4 0.4 0.2 0.2 0 0 0.2 0.2 0.4 0.4 0.7 0.7 1 (Speama s rak correlato coeffcet) r s = 1 6 (x y ) 2 ( 2 = 1 1) (x y ) 2 / ( ) 1 3 x, y 1, 2,, =[COUNT( ) + 1 - RANK(,, 0) - RANK(,, 1)]/2 RANK(,, ) 0...3 2 1 0 1 2 3... 2 2 2 0 2 14

7: 9 8 7 Corrado G 0 1 10 15

0 1 Wkpeda (G coeffcet) 100 G Idex http://www.sustaablemddleclass.com/g-coeffcet.html Japa 24.9 Uted Kgdom 36.0 Swede 25.0 Ira 43.0 Germay 28.3 Uted States 46.6 Frace 32.7 Argeta 52.2 Paksta 33.0 Mexco 54.6 Caada 33.1 South Afrca 57.8 Swtzerlad 33.1 Namba 70.7 ( 0.24 0.36 0.4 0.56 0.66 Bob Sutclffe (2007), Postscrpt to the artcle World equalty ad globalzato (Oxford Revew of Ecoomc Polcy, Sprg 2004), http://steresources.worldbak.org/intdecineq/resources/psbsutclffe.pdf. Retreved o 2007-12-13 G = 1 2 1 0 L(x)dx = 1/2 1 0 L(x)dx 1/2 or = 1 2 L(x )(.e.l(x) ) L(x) y G L (1, 1) y = x 45 1 0 L(x)dx (0.8, 0.6) y = L(x) (0.4, 0.2) 0 1 x (0, 0) F (1) = 1, 2,, 16

x x 1 x 2 x p = f(x ) p 1 p 2 p F F 1 = p 1 F 2 = p 2 + F 1 F = p + F 1 = 1 L = j=1 x jf(x j ) / L = L = j=1 x jf(x j ) L +1 + L (F +1 F ) 2 ( = 1, 2,, ) L 0 = 0 L 1 L 2 L 1 L = 1 0 1 (2) < x < x f(x) F (x) = x f(t)dt L(x) = x / tf(t)dt L (0 x 1) L = tf(t)dt () L(0) = 0 L(x) L(y) L(1) = 1, 0 < x < y < 1 () 0 < L(x) x, 0 < x < 1 x = (x, = 1, 2,, ) F = (/, = 1, 2,, ) s xy G CV(x) R XF G = CV (x) R XF X = {x 1, x 2,, x } x = 1 x ( ) x x j,, j = 1, 2,, ()D D = 1 2 x x j = 2 2 x x j,j,j 2 {(, j);, j = 1, 2,, } <j ( 1)/2 { < j;, j = 1, 2,, } G G = D 2x {x 1, x 2,, x } (order statstcs) <j x (1) x (2) x () ( ) <j x x j = x 1 x 2 + x 1 x 3 + + x 1 x + x 2 x 3 + + x 2 x + + + x 1 x = ( ) x (2) x (1) + ( ) x (3) x (1) + + ( ) x () x (1) + ( ) x (3) x (2) + + ( ) x () x (2) + + + ( ) x () x ( 1) 17

<j x x j = ( 1)x () + (( 2) 1) x ( 1) + + (1 ( 2)) x (2) + (0 ( 1)) x (1) = x () ( + 1)x () = 2 x () ( + 1)x = 2 ( x () x ) x = x () = x, = ( + 1)/2 x = (x (1), x (2),, x () ) F = (F ) = F = 1 s 2 F = s F F = ( 1 2) (F F j ) 2 <j 2 s XF = = = = + 1 2 1 1 (x () x)(f F ) ( 1 1 (x () x) + 1 ) ( ) 2 1 1 (x () x) X F ρ ρ = s XF s X s F = 1 1 D = 4 2 ( x () x ), (x () x) D 4 = ( 1, 2,, ) = 1 1 (F F ) 2 = + 1 12 ( ) ( / ) + 1 s X 12 ( ) (x () x) = S xy G = D 2X D = ( 1 ) 4 x () x (j) = ( x () x ) ( 1) 2 <j D 2x = 2 ( ) (x () x) = 2 ( 1)x x s XF = 2 x ρs Xs F = 2 + 1 + 1 x ρs X 12 = ρcv (X) 3 + 1 3 0.577 G G =,j x x j / 2 2x = 1 2 x x x j 0.577ρCV <j 18

8 R-2 1 / LINEST X Y (1 Y a X + b Y = a X b Y = a e X Y = a logx R2 OK 9 R2 0.5 0.8 0.8 R2 2 [ ] Mcrosoft Offce Excel ( : Offce ) Mcrosoft Offce Excel Excel (Mcrosoft Offce ) [Excel ] [ ] [ ] [Excel ] 1. 2. 3. R-2 R Y 2 (X 1, X 2,, X ) b Y a 1 X 1 + a 2 X 2 + + a X + b A (Y ) B (X 1 ) C (X 2 ) b Y a 1 X 1 + a 2 X 2 + b a 1, a 2, b 19

11 10 A B C 1 Y X1 X2 2 10 18 10 3 12 17 11 4 3 3 2 5 14 26 15 6 4 7 5 7 10 18 9 8 6 10 6 9 11 15 13 10 8 15 7 11 11 14 14 R 0.98 R2 0.96 R2 0.95 0.78 10.00 F 2.00 110.61 55.31 90.29 0.00 7.00 4.29 0.61 9.00 114.90 t P - 95% 95% 95.0% 95.0% 0.82 0.65 1.26 0.25 0.72 2.36 0.72 2.36 X 1 0.25 0.07 3.53 0.01 0.08 0.42 0.08 0.42 X 2 0.49 0.11 4.47 0.00 0.23 0.74 0.23 0.74 20

12 Y = 0.25 X 1 + 0.49 X 2 + 0.82 2 Y 2 X P P 0.05 X 0 t p 0 0 0 Y X (1) P (T t) < (2) t < t t tv t = tv 5%(0.05) 1%(0.01) k 1 k tv 2 5% 0.1 2 t P NG 21

3 0.7 R2 0.5 R2 R2 R2 R2 AIC 9 http://www.stat.go.jp/data/dex.htm http://www.pref.chba.jp/outle/statstcs/dex-j.html 22