<4D F736F F D B B83578B6594BB2D834A836F815B82D082C88C60202E646F63>
|
|
|
- かずき いなおか
- 7 years ago
- Views:
Transcription
1
2 例 題 で 学 ぶ Excel 統 計 入 門 第 2 版 サンプルページ この 本 の 定 価 判 型 などは, 以 下 の URL からご 覧 いただけます. このサンプルページの 内 容 は, 第 2 版 発 行 当 時 のものです.
3
4 i Web 2 Excel Excel Excel 11 Excel
5 ii Excel Excel ( ) Excel Excel 1 2 Excel Excel Excel Excel Excel Excel,
6 iii 2 Web i ii vi (1) (2)
7 iv (1) (2) CSV n
8 v χ 2 t F A 126 A A A A A A A A A.9 n χ A.10 n t A.11 (m, n) F B 133 C Excel
9 vi Web 2 Web Web
10 1 Excel Excel Excel (autofill, ) $ $ Excel Excel C average(x) =average( x ) Enter Excel Excel 3 chap1.xlsx 1 1 x y Web F1
11 , 4, 1, 3, 2, 9, 1, 1, 7, 1 =average(a3:a12) =median(a3:a12) =mode(a3:a12) =average( ) Enter n x 1,x 2,,x n (mean, average, ) x x = x 1 + x x n = 1 n x i n n i=1 average A3 A12 B18 =average(a3:a12) Enter =
12 1.1 3 Excel : (median) 1, 1, 1, 1, 1, 2, 3, 4, 7, 9 (1 + 2)/2 =1.5 median (mode) mode (A2:A13) ( ) average(a3:a12) A3 A12 median(a3:a12) A3 A12 mode(a3:a12) A3 A ( ) (outlier) ( 4, 3, 2, 1, 0, 1, 2, 3, 4) ( sum ) C , 2, 5, 3, 4, 5, 100, 2, 4, 4
13 , 1, 4, 1, 5, 9, 2, 6, 5, 3 =sum(e$3:e3) 1 Ctrl (sort) Ctrl 1, 1, 2, 3, 3, 4, 5, 5, 6, 9 1, 1+1= 2, 2+2 = 4, 4+3 = 7, 7+3 = 10,
14 1.2 5 ( cummulative sum ) 1, 2, 4, 7, 10, 14, 19, 24, 30, 39 sum G3 =sum($e$3:e3) ( ) (autofill) G4,G5,G6, =sum($e$3:e4), =sum($e$3:e5), =sum($e$3:e6) =sum($e$3:e3) $ $E$3 $ E3 E4, E5, sum $E$3 E3 ($ 2 ) [ 1] 2 [ 2] (E2:E12) (G2:G12) & sum(n:m) n m ( ) ( ) ( ) 2. 1 ( 1 )
15 x y (time series data) x y y y (moving average method) x 1,x 2,x 3,,x n x 1 + x 2 + x 3 3, x 2 + x 3 + x 4 3, x 3 + x 4 + x 5,, x n 2 + x n 1 + x n 3 3 3
16 OK 3 3 n x 1,x 2,,x n x 1 x 2 x n n n x 1 n x 2 n x n (geometric mean) 3 1 x 9 x/1 =9/x x 2 =1 9, x = 1 9=3 geomean(1,9) 3 n x 1,x 2,,x n x 1 1,,x 1 n (1/x /x n )/n (harmonic mean) 6km 4km 5km 4.8 km harmean(6,4) 4.8 (trimmed mean ) 5 3 ( C trimmean ) y f f(y) ={f(x 1 )+f(x 2 )+f(x 3 )+ + f(x n )}/n f f(x) =x, f(x) = log x, f(x) =1/x, f(x) =x 2 y ( )
17 ( (5 ) ( D C D2 =-c2 (2011)
18 1.4 9 (statistics) (state)
19 D4 =c4/$c$11 D4 D11 OK C11 =sum(c4:c10) SUM C 11 $ $C$11 C$11 11 $ /
20 C10 =$b10*c$9 * a b a b a/b a b ( ) B $ A4 A 4 $ A4, A$4, $A4, $A$4 4 $ F4 $ A4, A$4, $A4, $A$4
21
22 8 ( ) t χ 2 F , 4 40 a 40 ( ) X b 40 X E( X) V ( X) c 40 X 900 (E3:AH32(30 30) ) ( ) (population) ( ).
23 (B38:AO41 ) ( ) ( ) N n X 1,X 2,,X n N C n X 1,X 2,,X n 1/ N C n X 1,X 2,,X n ( )
24 X 1,X 2,,X n ( ) x 1,x 2,,x n (900 ) ( ) ( ) 30 ( ) 30 ( 4 40 ) 4 ( ) X 1,X 2,X 3,X 4 ( ) randbetween (i, j) index (=average(b38:b41) =average(ao38:ao41)) 4.34 ( =average(b42:ao42)) 4.37 ( =average(e3:ah32)) 1.69 ( =varp(b42:ao42)) 8.31 ( =varp (e3:ah32)) =countif($b$42:ao42,a62)-countif($b$42:ao42,a63) 8.2 randbetween(0,9) index(,i, j) i j (i, j) ( )
25 , 20, =countif($d$69:$bk$69,a75) countif ($d$69:$bk$69,a76)
26 n =10, 20, 30 X = X 1 + X X X = X 1 + X X X X = X 1 + X X X X X m m m E( X) =m m, σ 2 n n σ 2 /n 0 X m (law of large numbers) n X N(m,σ 2 /n) ( 6.8 ) E( X) =m X X m (unbiased estimator) m σ 2 n X N(m, σ 2 /n) n =10 20 n =20 E( X) n =10,n=20,n= , 4.33, 4.3 V ( X) 0.98, 0.31, 0.27 n V ( X) σ 2 /n V ( X)
27 s 2 u S 2 S 2 = (X 1 X) 2 +(X 2 X) 2 +(X 3 X) 2 +(X 4 X) 2 = 1 4 (X i 4 n X) 2 i= S 2
28 (2, 4) x =(2+4)/2 =3 s 2 = ((2 3) 2 +(4 3) 2 )/2 =1 m x m x (2 < 3) ((2 2) 2 +(4 2) 2 )/2 =2 1 (3 < 4) ((2 4) 2 +(4 4) 2 )/2 =2 1 (2.4 ) E(S 2 ) σ 2 4/3 4/3=1.33 ( n/(n 1) ) S U 2 = (X 1 X) 2 +(X 2 X) 2 +(X 3 X) 2 +(X 4 X) 2 3 U 2 E(U 2 )=σ 2 n n n 1 S 2 = U 2 m σ 2 n E( X) =m ( X m ) E(U 2 )=σ 2 (U 2 σ 2 ) (7,2,4,8) s 2 u 2 u 2 /s 2 2. X m 2 So = 1 n m (X i m) 2 i=1
29 [α, β] n X N(m,σ 2 /n) Z =( X m)/(σ/ n)
30 N(0,1) ( σ 2 ) Z 1.96 Z ( X m)/(σ/ n) 1.96 m X 1.96σ/ n m X +1.96σ/ n [ X 1.96 σ ] σ, X n n m 0.95 ( ) 95 % (confidence interval) (interval estimation) (58.8, 64.1, 63.7, 41.3) x = 57, σ =10 95 % [ x σ, x σ ] [ = ] 10, =[47.2, 66.8] % 90 %, 99 % 99 % [ ] X 2.58σ/ n, X +2.58σ/ n 90 % σ/ n σ 2 m σ 2 σ 2 S 2 U 2 95 % [ X 1.96 S ] S, X n n
31 106 8 σ U T = ( X m)/(u/ n)=( X m)/(s/ n 1) t n =4 n 1=3 t 95 % [ X 3.18 U ] U, X (D AQ) 4 ( ) 4.37 t D43 =average(d38:d41) D57 D58 =d *$d$46/2 =d *$d$46/2 95 % N(0,1) 5% t 5% 1% , % % 9 t 1% 3.25 ( n = 1)
32 2012 Printed in Japan ISBN
untitled
Microsoft Excel 1. 2. 3. 4. VBA) A IV 256 BMI (Body Mass Index) AVERAGE,COUNTIF BMI ( kg ) = 22 ( m) 2 BMI (Body Mass Index) BMI = ( kg ( m ) ) 2 BMI BMI 20 BMI 20 24 BMI 24 26.5 BMI 26.5 E1 kg Del Back
1 Excel 1. [Standard] (call [Call Standard]) Excel [ ] [E ] Excel m 1 ( ) (
![1 Excel 1. [Standard] (call [Call Standard]) Excel [ ] [E ] Excel m 1 ( ) (](/thumbs/100/146329187.jpg "1 Excel 1. [Standard] (call [Call Standard]) Excel [ ] [E ] Excel m 1 ( ) (")
1 Excel 1. [Standard] (call [Call Standard]) Excel [] [E ] Excel 2. 2 2.1 50m 1 ( ) 30 1. 2019 (http://news.fukuoka-edu.ac.jp/form/guide/navi2019.pdf), p.7 8 2. Excel 2019 4 Excel 2019 Excel 2013 [] [R]
i
14 i ii iii iv v vi 14 13 86 13 12 28 14 16 14 15 31 (1) 13 12 28 20 (2) (3) 2 (4) (5) 14 14 50 48 3 11 11 22 14 15 10 14 20 21 20 (1) 14 (2) 14 4 (3) (4) (5) 12 12 (6) 14 15 5 6 7 8 9 10 7
151021slide.dvi
: Mac I 1 ( 5 Windows (Mac Excel : Excel 2007 9 10 1 4 http://asakura.co.jp/ books/isbn/978-4-254-12172-8/ (1 1 9 1/29 (,,... (,,,... (,,, (3 3/29 (, (F7, Ctrl + i, (Shift +, Shift + Ctrl (, a i (, Enter,
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 () - 1 - - 2 - - 3 - - 4 - - 5 - 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57
86 7 I ( 13 ) II ( )
10 I 86 II 86 III 89 IV 92 V 2001 93 VI 95 86 7 I 2001 6 12 10 2001 ( 13 ) 10 66 2000 2001 4 100 1 3000 II 1988 1990 1991 ( ) 500 1994 2 87 1 1994 2 1000 1000 1000 2 1994 12 21 1000 700 5 800 ( 97 ) 1000
2 Excel =sum( ) =average( ) B15:D20 : $E$26 E26 $ =A26*$E$26 $ $E26 E$26 E$26 $G34 $ E26 F4
1234567 0.1234567 = 2 3 =2+3 =2-3 =2*3 =2/3 =2^3 1:^, 2:*/, 3:+- () =2+3*4 =(2+3)*4 =3*2^2 =(3*2)^2 =(3+6)^0.5 A12 =A12+B12 ( ) ( )0.4 ( 100)0.9 % 1 2 Excel =sum( ) =average( ) B15:D20 : $E$26 E26 $ =A26*$E$26
「産業上利用することができる発明」の審査の運用指針（案）
1 1.... 2 1.1... 2 2.... 4 2.1... 4 3.... 6 4.... 6 1 1 29 1 29 1 1 1. 2 1 1.1 (1) (2) (3) 1 (4) 2 4 1 2 2 3 4 31 12 5 7 2.2 (5) ( a ) ( b ) 1 3 2 ( c ) (6) 2. 2.1 2.1 (1) 4 ( i ) ( ii ) ( iii ) ( iv)
i ii iii iv v vi vii ( ー ー ) ( ) ( ) ( ) ( ) ー ( ) ( ) ー ー ( ) ( ) ( ) ( ) ( ) 13 202 24122783 3622316 (1) (2) (3) (4) 2483 (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) 11 11 2483 13
262014 3 1 1 6 3 2 198810 2/ 198810 2 1 3 4 http://www.pref.hiroshima.lg.jp/site/monjokan/ 1... 1... 1... 2... 2... 4... 5... 9... 9... 10... 10... 10... 10... 13 2... 13 3... 15... 15... 15... 16 4...
1
1 2 INDEX 3 4 5 6 7 8 60100150200 2 300 60 16 113 134 155 123 100 28 174 215 600 183 150 214 40 200 183 183 60 100 40 150 3 4 5 60 100 150 200 25 1150120 1150120 1150120 2640 1250120 1250120 1250120 200
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
provider_020524_2.PDF
1 1 1 2 2 3 (1) 3 (2) 4 (3) 6 7 7 (1) 8 (2) 21 26 27 27 27 28 31 32 32 36 1 1 2 2 (1) 3 3 4 45 (2) 6 7 5 (3) 6 7 8 (1) ii iii iv 8 * 9 10 11 9 12 10 13 14 15 11 16 17 12 13 18 19 20 (2) 14 21 22 23 24
178 5 I 1 ( ) ( ) 10 3 13 3 1 8891 8 3023 6317 ( 10 1914 7152 ) 16 5 1 ( ) 6 13 3 13 3 8575 3896 8 1715 779 6 (1) 2 7 4 ( 2 ) 13 11 26 12 21 14 11 21
I 178 II 180 III ( ) 181 IV 183 V 185 VI 186 178 5 I 1 ( ) ( ) 10 3 13 3 1 8891 8 3023 6317 ( 10 1914 7152 ) 16 5 1 ( ) 6 13 3 13 3 8575 3896 8 1715 779 6 (1) 2 7 4 ( 2 ) 13 11 26 12 21 14 11 21 4 10 (
44 4 I (1) ( ) (10 15 ) ( 17 ) ( 3 1 ) (2)
(1) I 44 II 45 III 47 IV 52 44 4 I (1) ( ) 1945 8 9 (10 15 ) ( 17 ) ( 3 1 ) (2) 45 II 1 (3) 511 ( 451 1 ) ( ) 365 1 2 512 1 2 365 1 2 363 2 ( ) 3 ( ) ( 451 2 ( 314 1 ) ( 339 1 4 ) 337 2 3 ) 363 (4) 46
i ii i iii iv 1 3 3 10 14 17 17 18 22 23 28 29 31 36 37 39 40 43 48 59 70 75 75 77 90 95 102 107 109 110 118 125 128 130 132 134 48 43 43 51 52 61 61 64 62 124 70 58 3 10 17 29 78 82 85 102 95 109 iii
広域防災拠点検討会報告書030723表紙_0829_.PDF
15 3 i 15 3 ii iii iv ( ) ( ) ( ) ... i...iii... 1.... 1.... 1..... 1..... 2.... 3... 5.... 5..... 5..... 5.... 6..... 6..... 6.... 7..... 7..... 8... 12... 13.... 13..... 13..... 16..... 16.... 17....
(interval estimation) 3 (confidence coefficient) µ σ/sqrt(n) 4 P ( (X - µ) / (σ sqrt N < a) = α a α X α µ a σ sqrt N X µ a σ sqrt N 2
7 2 1 (interval estimation) 3 (confidence coefficient) µ σ/sqrt(n) 4 P ( (X - µ) / (σ sqrt N < a) = α a α X α µ a σ sqrt N X µ a σ sqrt N 2 (confidence interval) 5 X a σ sqrt N µ X a σ sqrt N - 6 P ( X
State Committee of Russian Federation on Statistics 1 2 12 State Committee of Russian Federation on Statistics 53
I State Committee of Russian Federation on Statistics 52 State Committee of Russian Federation on Statistics 1 2 12 State Committee of Russian Federation on Statistics 53 State Committee of Russian Federation
Excel ではじめる数値解析 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. このサンプルページの内容は, 初版 1 刷発行時のものです.
Excel ではじめる数値解析 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/009631 このサンプルページの内容は, 初版 1 刷発行時のものです. Excel URL http://www.morikita.co.jp/books/mid/009631 i Microsoft Windows
情報科学概論 第1回資料
1. Excel (C) Hiroshi Pen Fujimori 1 2. (Excel) 2.1 Excel : 2.2Excel Excel (C) Hiroshi Pen Fujimori 2 256 (IV) :C (C 65536 B4 :2 (2 A3 Excel (C) Hiroshi Pen Fujimori 3 Tips: (1) B3 (2) (*1) (3) (4)Word
<4D F736F F D B B BB2D834A836F815B82D082C88C602E646F63>
入門モーター工学 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/074351 このサンプルページの内容は, 初版 1 刷発行当時のものです. 10 kw 21 20 50 2 20 IGBT IGBT IGBT 21 (1) 1 2 (2) (3) ii 20 2013 2 iii iv...
i I Excel iii Excel Excel Excel
Excel i I Excel iii 1 1 2 Excel 2 2.1..................................... 2 2.2 Excel................................................ 2 2.3 Excel................................................ 4 2.4..............................................
55 a h dd s q q w w w d d d d d d d d d
54 q w e r q w e 55 a h dd s q q w w w d d d d d d d d d w e r d q 56 57 ggg gg w e g g g g g g g g g g g g g g g g 58 r o o 59 o o o o o o o o 60 o o o o o o o 61 t f q w e o 62 g q 63 w e 64 r 65 t qw
一般演題（ポスター）
6 5 13 : 00 14 : 00 A μ 13 : 00 14 : 00 A β β β 13 : 00 14 : 00 A 13 : 00 14 : 00 A 13 : 00 14 : 00 A β 13 : 00 14 : 00 A β 13 : 00 14 : 00 A 13 : 00 14 : 00 A β 13 : 00 14 : 00 A 13 : 00 14 : 00 A
June 2016 i (statistics) F Excel Numbers, OpenOffice/LibreOffice Calc ii *1 VAR STDEV 1 SPSS SAS R *2 R R R R *1 Excel, Numbers, Microsoft Office, Apple iwork, *2 R GNU GNU R iii URL http://ruby.kyoto-wu.ac.jp/statistics/training/
2 2.1 Excel 2013 Excel
4 1 4 : (1) (2) 1 (spread sheet) APPLE II 1 Microsoft Excel 2 2.1 Excel 2013 Excel 2013 4 2 1 4 3 2.2 1 A,B,C,... 1,2,3... F8 F8 G3 A1 F17 A,B,... 1,2,... 2.2.1 End 1 2.2.2 Excel + 2.2.3 (1) (2) Enter
untitled
i ii iii iv v 43 43 vi 43 vii T+1 T+2 1 viii 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 a) ( ) b) ( ) 51
AccessflÌfl—−ÇŠš1
ACCESS ACCESS i ii ACCESS iii iv ACCESS v vi ACCESS CONTENTS ACCESS CONTENTS ACCESS 1 ACCESS 1 2 ACCESS 3 1 4 ACCESS 5 1 6 ACCESS 7 1 8 9 ACCESS 10 1 ACCESS 11 1 12 ACCESS 13 1 14 ACCESS 15 1 v 16 ACCESS
3 3.1 *2 1 2 3 4 5 6 *2 2
Armitage 1 2 11 10 3.32 *1 9 5 5.757 3.3667 7.5 1 9 6 5.757 7 7.5 7.5 9 7 7 9 7.5 10 9 8 7 9 9 10 9 9 9 10 9 11 9 10 10 10 9 11 9 11 11 10 9 11 9 12 13 11 10 11 9 13 13 11 10 12.5 9 14 14.243 13 12.5 12.5
2
1 2 3 4 5 6 7 8 9 10 I II III 11 IV 12 V 13 VI VII 14 VIII. 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 _ 33 _ 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 VII 51 52 53 54 55 56 57 58 59
こんにちは由美子です
1 2 λ 3 λ λ. correlate father mother first second (obs=20) father mother first second ---------+------------------------------------ father 1.0000 mother 0.2254 1.0000 first 0.7919 0.5841 1.0000 second
統計的仮説検定とExcelによるt検定
I L14(016-01-15 Fri) : Time-stamp: 016-01-15 Fri 14:03 JST hig 1,,,, p, Excel p, t. http://hig3.net ( ) L14 Excel t I(015) 1 / 0 L13-Q1 Quiz : n = 9. σ 0.95, S n 1 (n 1)
0226_ぱどMD表1-ol前
No. MEDIA DATA 0 B O O K 00-090-0 0 000900 000 00 00 00 0000 0900 000900 AREA MAP 0,000 0,000 0,000 0,000 00,000 0,000 0,000 0,000 0,000 0,000 0,000 0,000 0,000 0,000 0,000 0,000 0,000 0,000 00,000 0,000
Oracle Discoverer 3.1 チュートリアル
Oracle Discoverer 3.1 1998 8 A61498-1 Enabling the Information Age Through Network Computing Oracle DIscoverer 3.1 : A61498-1 1 : 1998 8 : Oracle Discoverer 3.1 User Tutorial : A60963-01 : Paula Peplow,
最 新 測 量 学 ( 第 3 版 ) サンプルページ この 本 の 定 価 判 型 などは, 以 下 の URL からご 覧 いただけます. このサンプルページの 内 容 は, 第 3 版 1 刷 発 行 時 の
最 新 測 量 学 ( 第 3 版 ) サンプルページ この 本 の 定 価 判 型 などは, 以 下 の URL からご 覧 いただけます. http://www.morikita.co.jp/books/mid/047143 このサンプルページの 内 容 は, 第 3 版 1 刷 発 行 時 のものです. 3 10 GIS 3 1 2 GPS GPS GNSS GNSS 23 3 3 2015
3 5 18 3 5000 1 2 7 8 120 1 9 1954 29 18 12 30 700 4km 1.5 100 50 6 13 5 99 93 34 17 2 2002 04 14 16 6000 12 57 60 1986 55 3 3 3 500 350 4 5 250 18 19 1590 1591 250 100 500 20 800 20 55 3 3 3 18 19 1590
医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. このサンプルページの内容は, 第 2 版 1 刷発行時のものです.
医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/009192 このサンプルページの内容は, 第 2 版 1 刷発行時のものです. i 2 t 1. 2. 3 2 3. 6 4. 7 5. n 2 ν 6. 2 7. 2003 ii 2 2013 10 iii 1987
2004/01/12 1 2004/01/23 2 I- - 10 2004/04/02 3-6 2004/04/03 4-1-5-1,-1-8-1,-2-2-1,-3-4-1,-3-5-1,-4-2-1, -5-4-2,-5-6-1,-6-2-1 4. _.doc 1
4 2004 4 3 2004/01/12 1 2004/01/23 2 I- - 10 2004/04/02 3-6 2004/04/03 4-1-5-1,-1-8-1,-2-2-1,-3-4-1,-3-5-1,-4-2-1, -5-4-2,-5-6-1,-6-2-1 4. _.doc 1 - - I. 4 I- 4 I- 4 I- 6 I- 6 I- 7 II. 8 II- 8 II- 8 II-
入門ガイド
ii iii iv NEC Corporation 1998 v P A R 1 P A R 2 P A R 3 T T T vi P A R T 4 P A R T 5 P A R T 6 P A R T 7 vii 1P A R T 1 2 2 1 3 1 4 1 1 5 2 3 6 4 1 7 1 2 3 8 1 1 2 3 9 1 2 10 1 1 2 11 3 12 1 2 1 3 4 13
untitled
Excel A D-2 B-2 D-2 B2 C-2 D-2 C2-23 - Enter D-2 B2(1000) C2(5) 5000 D-2 (D-2) (D-2) (D-3) (D-6) - 24 - (D-3) (D-6) D (D-2) =B2*C2 (D-3) =B3*C3 (D-4) =B4*C4 Excel - 25 - $A$1 1000 A-1 (B-1) =$A$1 (B-1)
i
i ii iii iv v vi vii viii ix x xi ( ) 854.3 700.9 10 200 3,126.9 162.3 100.6 18.3 26.5 5.6/s ( ) ( ) 1949 8 12 () () ア イ ウ ) ) () () () () BC () () (
日本糖尿病学会誌第58巻第1号
α β β β β β β α α β α β α l l α l μ l β l α β β Wfs1 β β l l l l μ l l μ μ l μ l Δ l μ μ l μ l l ll l l l l l l l l μ l l l l μ μ l l l l μ l l l l l l l l l l μ l l l μ l μ l l l l l l l l l μ l l l l
...J......1803.QX
5 7 9 11 13 15 17 19 21 23 45-1111 48-2314 1 I II 100,000 80,000 60,000 40,000 20,000 0 272,437 80,348 82,207 81,393 82,293 83,696 84,028 82,232 248,983 80,411 4,615 4,757 248,434 248,688 76,708 6,299
<4D6963726F736F667420506F776572506F696E74202D208376838C835B83938365815B835683878393312E707074205B8CDD8AB78382815B83685D>
i i vi ii iii iv v vi vii viii ix 2 3 4 5 6 7 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
SC-85X2取説
I II III IV V VI .................. VII VIII IX X 1-1 1-2 1-3 1-4 ( ) 1-5 1-6 2-1 2-2 3-1 3-2 3-3 8 3-4 3-5 3-6 3-7 ) ) - - 3-8 3-9 4-1 4-2 4-3 4-4 4-5 4-6 5-1 5-2 5-3 5-4 5-5 5-6 5-7 5-8 5-9 5-10 5-11
診療ガイドライン外来編２０１４（Ａ４）／ＦＵＪＧＧ２０１４‐０１（大扉）
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
訪問看護ステーションにおける安全性及び安定的なサービス提供の確保に関する調査研究事業報告書
1... 1 2... 3 I... 3 II... 3 1.... 3 2....15 3....17 4....19 5....25 6....34 7....38 8....48 9....58 III...70 3...73 I...73 1....73 2....82 II...98 4...99 1....99 2....104 3....106 4....108 5.... 110 6....
untitled
23 12 10 12:55 ~ 18:45 KKR Tel0557-85-2000 FAX0557-85-6604 12:55~13:00 13:00~13:38 I 1) 13:00~13:12 2) 13:13~13:25 3) 13:26~13:38 13:39~14:17 II 4) 13:39~13:51 5) 13:52 ~ 14:04 6) 14:05 ~ 14:17 14:18 ~
70 : 20 : A B (20 ) (30 ) 50 1
70 : 0 : A B (0 ) (30 ) 50 1 1 4 1.1................................................ 5 1. A............................................... 6 1.3 B............................................... 7 8.1 A...............................................
5.3 1. 2. 3. tert-tert 4. Enter 5. Delete 6. 7. Delete 8. Delete 9. [] [] 10. 11. 12. ID 40
![5.3 1. 2. 3. tert-tert 4. Enter 5. Delete 6. 7. Delete 8. Delete 9. [] [] 10. 11. 12. ID 40](/thumbs/42/22799507.jpg "5.3 1. 2. 3. tert-tert 4. Enter 5. Delete 6. 7. Delete 8. Delete 9. [] [] 10. 11. 12. ID 40")
5 PowerPoint PowerPoint 2003 PowerPoint 2007 5.1 - tert- 1. 2. 3. 4. 5.2 PowerPoint 2007 PowerPoint 2007 Word 2007, Excel 2007 39 5.3 1. 2. 3. tert-tert 4. Enter 5. Delete 6. 7. Delete 8. Delete 9. []
CRS4
I... 1 II... 1 A... 1 B... 1 C... 1 D... 2 E... 3 III... 3 A... 3 B... 4 C... 5 IV... 8 A... 8 B... 8 C... 9 D... 10 V... 11 A... 11 B... 11 C... 12 VI... 12 A... 12 B... 12 C... 12 VII... 13 ii I II A
0 (1 ) 0 (1 ) 01 Excel Excel ( ) = Excel Excel =5+ 5 + 7 =5-5 3 =5* 5 10 =5/ 5 5 =5^ 5 5 ( ), 0, Excel, Excel 13E+05 13 10 5 13000 13E-05 13 10 5 0000
1 ( S/E) 006 7 30 0 (1 ) 01 Excel 0 7 3 1 (-4 ) 5 11 5 1 6 13 7 (5-7 ) 9 1 1 9 11 3 Simplex 1 4 (shadow price) 14 5 (reduced cost) 14 3 (8-10 ) 17 31 17 3 18 33 19 34 35 36 Excel 3 4 (11-13 ) 5 41 5 4
第１部 一般的コメント
(( 2000 11 24 2003 12 31 3122 94 2332 508 26 a () () i ii iii iv (i) (ii) (i) (ii) (iii) (iv) (a) (b)(c)(d) a) / (i) (ii) (iii) (iv) 1996 7 1996 12
o 2o 3o 3 1. I o 3. 1o 2o 31. I 3o PDF Adobe Reader 4o 2 1o I 2o 3o 4o 5o 6o 7o 2197/ o 1o 1 1o
78 2 78... 2 22201011... 4... 9... 7... 29 1 1214 2 7 1 8 2 2 3 1 2 1o 2o 3o 3 1. I 1124 4o 3. 1o 2o 31. I 3o PDF Adobe Reader 4o 2 1o 72 1. I 2o 3o 4o 5o 6o 7o 2197/6 9. 9 8o 1o 1 1o 2o / 3o 4o 5o 6o
140 120 100 80 60 40 20 0 115 107 102 99 95 97 95 97 98 100 64 72 37 60 50 53 50 36 32 18 H18 H19 H20 H21 H22 H23 H24 H25 H26 H27 1 100 () 80 60 40 20 0 1 19 16 10 11 6 8 9 5 10 35 76 83 73 68 46 44 H11
iii iv v vi 21 A B A B C C 1 1 2 3 4 5 6 1 2 3 4 5 6 7 8 9 10 11 19 22 30 39 43 48 54 60 65 74 77 84 87 89 95 101 12 20 23 31 40 44 49 55 61 66 75 78 85 88 90 96 102 13 21 24 32 41 45 50 56 62 67 76 79
untitled
1 1 Excel3 2008.8.19 2 3 10 1 () 4 40596079 2 OK 1 5 341 1 1 6 3-1 A134A135 B135 COUNTIF OK 3-1 7 3 B6B132 1 B135 COUNTIF) OK B6B132 8 2 3-1 3 3-1 3 1 2A133 A134 A135 3B133 SUBTOTAL 9 2 B5B131 OK 4SUBTOTAL
ii
i 2013 5 143 5.1...................................... 143 5.2.................................. 144 5.3....................................... 148 5.4.................................. 153 5.5...................................
ohp.mgp
2012/10/09 A/B -- Excel -- !! B video Note-PC Network skype Login Windows Update Web CST Portal Excel Excel ( / ( / /? ( ( [ / /etc..], = ( Excel : (Excel : ( $ [ 1] Excel [ 2] [ 3] Lookup [ 1] [ 2] Excel..
第１章 国民年金における無年金
1 2 3 4 ILO ILO 5 i ii 6 7 8 9 10 ( ) 3 2 ( ) 3 2 2 2 11 20 60 12 1 2 3 4 5 6 7 8 9 10 11 12 13 13 14 15 16 17 14 15 8 16 2003 1 17 18 iii 19 iv 20 21 22 23 24 25 ,,, 26 27 28 29 30 (1) (2) (3) 31 1 20
表1票4.qx4
iii iv v 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 22 23 10 11 24 25 26 27 10 56 28 11 29 30 12 13 14 15 16 17 18 19 2010 2111 22 23 2412 2513 14 31 17 32 18 33 19 34 20 35 21 36 24 37 25 38 2614
1 (1) (2)
1 2 (1) (2) (3) 3-78 - 1 (1) (2) - 79 - i) ii) iii) (3) (4) (5) (6) - 80 - (7) (8) (9) (10) 2 (1) (2) (3) (4) i) - 81 - ii) (a) (b) 3 (1) (2) - 82 - - 83 - - 84 - - 85 - - 86 - (1) (2) (3) (4) (5) (6)
- 2 -
- 2 - - 3 - (1) (2) (3) (1) - 4 - ~ - 5 - (2) - 6 - (1) (1) - 7 - - 8 - (i) (ii) (iii) (ii) (iii) (ii) 10 - 9 - (3) - 10 - (3) - 11 - - 12 - (1) - 13 - - 14 - (2) - 15 - - 16 - (3) - 17 - - 18 - (4) -
2 1980 8 4 4 4 4 4 3 4 2 4 4 2 4 6 0 0 6 4 2 4 1 2 2 1 4 4 4 2 3 3 3 4 3 4 4 4 4 2 5 5 2 4 4 4 0 3 3 0 9 10 10 9 1 1
1 1979 6 24 3 4 4 4 4 3 4 4 2 3 4 4 6 0 0 6 2 4 4 4 3 0 0 3 3 3 4 3 2 4 3? 4 3 4 3 4 4 4 4 3 3 4 4 4 4 2 1 1 2 15 4 4 15 0 1 2 1980 8 4 4 4 4 4 3 4 2 4 4 2 4 6 0 0 6 4 2 4 1 2 2 1 4 4 4 2 3 3 3 4 3 4 4
20 15 14.6 15.3 14.9 15.7 16.0 15.7 13.4 14.5 13.7 14.2 10 10 13 16 19 22 1 70,000 60,000 50,000 40,000 30,000 20,000 10,000 0 2,500 59,862 56,384 2,000 42,662 44,211 40,639 37,323 1,500 33,408 34,472
I? 3 1 3 1.1?................................. 3 1.2?............................... 3 1.3!................................... 3 2 4 2.1........................................ 4 2.2.......................................
微分積分 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. このサンプルページの内容は, 初版 1 刷発行時のものです.
微分積分 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. ttp://www.morikita.co.jp/books/mid/00571 このサンプルページの内容は, 初版 1 刷発行時のものです. i ii 014 10 iii [note] 1 3 iv 4 5 3 6 4 x 0 sin x x 1 5 6 z = f(x, y) 1 y = f(x)
31 33
17 3 31 33 36 38 42 45 47 50 52 54 57 60 74 80 82 88 89 92 98 101 104 106 94 1 252 37 1 2 2 1 252 38 1 15 3 16 6 24 17 2 10 252 29 15 21 20 15 4 15 467,555 14 11 25 15 1 6 15 5 ( ) 41 2 634 640 1 5 252
(Nov/2009) 2 / = (,,, ) 1 4 3 3 2/8
(Nov/2009) 1 sun open-office calc 2 1 2 3 3 1 3 1 2 3 1 2 3 1/8 (Nov/2009) 2 / = (,,, ) 1 4 3 3 2/8 (Nov/2009) 1 (true) false 1 2 2 A1:A10 A 1 2 150 3 200 4 250 5 320 6 330 7 360 8 380 9 420 10 480 (1)