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1 The Statistical Processing using EXCEL MIYOSHI Yoshihiko In this paper, I summarize the method of performing statistical processing using only the basic function of EXCEL without the VBA macro, add-in software, etc. When educating EXCEL, if it is carried out together with statistical processing, students can also learn preponderantly about the function which is seldom used. Furthermore, it is possible to fully understand also about basic functions, such as a table and graph creation. 193

2

3 A) B) A) B) C) countif D) E) 195

4 % 1 0.4% % % % % % % % % % % % % % % % % % % % 2 0.8% % 8 3.2% % % % % % % % % % % % % % % % % 196

5 average median mode max min var stdev standardize 197

6 A) rank B) C) normsinv D) 198

7 kurt skew ln 199

8 correl 0.38 A) correl r B) T(r) sqrt abs C) α= 0.05n-1 tinv D) 200

9 correl A) rank B) sumxmy2 C) rs A) rank B) A B C D Y Z 1 a2 an 2 b2 bn 3 1 a1 b1 D) 24 n-1 an-1 bn-1 C) (ai,bi)(aj,bj) ifandor D) index sum =SUM(INDEX(D3:Y3,0,A3):Y3) 201

10 E) sum F) τa 2 T(fij) A) if A,B,C B) C) D) E) sum F) α = 0.05(m-1)(n-1) chiinv G) /

11 2 slope intercept A) correl B) devsq C) F SR 1 VR = SR F0 = VR VE SE n-2 VE = SE n-2 D) α = 0.051,n-2 finv 203

12 E) abs and average chiinv χ correl countif devsq finv F if index 204

13 intercept kurt ln max median min mode normsinv or rank skew slope sqrt standardize stdev sum sumxmy2 tinv t var 1 2 Visual Basic for Applications 3 Statistical Package for the Social Sciences r T ( r) = n 2 1 r 6 rs = 1 n τ a 2 = n T ( f ) = ij 2 ( P Q) ( n 1) ( a b ) i i 2 ( n 1) 2 2 ( nfij fi f j ) nf f i j 11 = ( ) ( S R ) 12 SE = ( ) SR 205

1 2 3 2 2.1 -countif Excel 22 http://software.ssri.co.jp/statweb2/ 1. 111 3 2. 4 4 3 3.E4:E10E4:E10 OK 2/27

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