Category : Lotus and other Spreadsheets
Archive   : STATGRAF.ZIP
Filename : STATGRAF.WKS

 
Output of file : STATGRAF.WKS contained in archive : STATGRAF.ZIP
/ÿq H A B C D E F G XFRÿÿ \A \B \C \D \E \F \G \H \P.ÅCL2TO4ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ95% CONF.LMT. COMPARISONS s'=1 Z=1.96 t for p=.05(u&l) TESTS PER SAMPLE [n]= sq.rt. of n # OF POP.S.D.'S +/- FROM MEAN t*s/[n-1] t*s/[n] Z*s'/[n] s/[n-1]*t /[n-1]*t qq.ÅCL4TO25  ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ95% C.L. COMPARISONS s'=1.0 Z=1.96 t for p=.05(u&l) TESTS PER SAMPLE [n]= sq.rt. of n # OF POP.S.D.'S +/- FROM MEAN Z*s'/[n] t*s/[n] t*s/[n-1] s/[n-1]*t /[n-1]*t qq.ÅCL_UL_95  ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿU. & L. 95% CONFIDENCE LIMITS MEAN +/- t*s/[n] TESTS PER SAMPLE [n]= sq.rt. of n MEASURED IN POP. STD. DEV.'S + t*s/[n] MEAN - t*s/[n] s/[n-1]*t /[n-1]*t qq.ÅRSSSE  

    

ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ

ÿÿÿÿÿÿÿÿÿR, s', s, & S.E. of MEAN COMPARED POPULATION s' ASSUMED TO BE 1.0 TESTS PER SAMPLE MEASURED IN POP.STD.DEV.'S S.E. S S' R qq.ÅSECOMPAR    ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿffffffæ?ÍÌÌÌÌÌð?FORMS OF S.E. OF MEAN COMPARED s'/[n] ASSUMED TO BE 1.0 TESTS PER SAMPLE [n]=sq.root of n VALUE IF s'/[n] = 1.0 s/[n-1] s'/[n] s/[n] R qq.ÅSHORTCUT  ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ ÿÿ ÿÿ
ÿÿ
ÿÿÿÿÿÿÿÿÿÿÿÿÿSHORT-CUT FORMULA (95% C.L. ONLY) ELIM. USE OF t-TABLE IF n>3 TESTS PER SAMPLE [n]=sq.rt. of n MEAS. IN POP. s' (s'=1.0) t*s/[n] EAN t*s/[n-1] /[n-1]*t 1.96*s/[n-2.48] qq.ÅSSSE      

ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿš™™™™™ñ?s', s & S.E. OF MEAN COMPARED POPULATION s' ASSUMED TO BE 1.0 TESTS PER SAMPLE MEASURED IN POP.STD.DEV.'S S S' S.E. R qqÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ0ÿÿÿÿÿÿÿÿ ÿÿÿÿ# ÿÿÿÿ ÿÿÿÿÿÿÿÿ$%ò&ò'((
LB)'*ÿÿÿÿÿÿÿÿ-µ  ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ ÿÿ ÿÿ
ÿÿ
ÿÿÿÿÿÿÿÿÿÿÿÿÿSHORT-CUT FORMULA (95% C.L. ONLY) ELIM. USE OF t-TABLE IF n>3 TESTS PER SAMPLE [n]=sq.rt. of n MEAS. IN POP. s' (s'=1.0) t*s/[n] EAN t*s/[n-1] /[n-1]*t 1.96*s/[n-2.48] qq'STATGRAF.WKS=ÿ'John Robertson,P.O.Dwr G,Grover,NC,28073 (704)937-7434"ÿ'From ASTM cntr. chrt table:!ÿ 'Comparison of SD',SD,& SE:ÿ'Cmprsn of 95% C.L.: ÿ'Cmprsn of 95% C.L.(cont):
ÿ's'=1.0#ÿ'Comparison of forms of S.E.:ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\#ÿ \#ÿ
\#ÿ \=ÿ \=ÿ
\=ÿ\"ÿ\"ÿ\"ÿ\"ÿ\"ÿ\"ÿ\"ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=O'*** GRAPHS TO AID IN GRASPING THE RELATIONSHIPS OF STATISTICAL TERMS ***   ^ s/s' 
^R/s'   

"s'/(n) "From  ^s/(n- ""lower- 
^"1" "S/   Mÿ' Graphs are based on the ASTM control chart tables and on the 2-tail   
ÿ
' R     
"S.E.
"^.5
"2-tail "S/(n)
^2.48)^"S/(n-1)
"limit" 
"S'/(n) "(n-1)  "S/(n) Lÿ' t-table. The S.E. formula, s/(n-1)^.5, is suggested by tables for"n  ^c2 
^d2  "s'
 ""n" 
"of X ^*1.96^t-table^^.5 * t^.5*1.96^^.5 * tu€ý¿€
""mean"
"^.5
"^.5u‰…dˆé? ÿ¿€þ¿€ 
"^.5uð ÿ¿€ü¿€ Iÿ' calculating confidence limits from single (multi-test) samples.
ÿ
„ çŒ(í
â?
ƒ
?5^ºI ò?
ÿ 
ÿ „
Í;fž æ? û¿€# ƒ¹??1Ä,ö?€€\Âõ(\ÿ? 
ƒ¶óýÔxi)@ƒ]%¶F@ €€ÿ¿€  ƒƒS €LƬ@ €€ý¿€ ƒ]%¶FÀý¿€
ÿ„Í;fž æ? ó¿€#  „çŒ(í
â?ó¿€ò¿€
#  „„‰…dˆÙ?
 €€#  „ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=
ÿ
„ ÖVì/»'ç?
ƒ
J +‡û?
ÿ „
3E§yâ? û¿€# ƒ„@rò?€€\Âõ(\ÿ? 
ƒƒÀÊ¡E6@ƒt:›>Ãü? €€ÿ¿€ 1ƒ§Ð.ãàwÿ?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ~ÎâI @ €€ý¿€ ƒt:›>Ãü¿ý¿€
ÿ„3E§yâ? ó¿€#  „¡ 9÷‰_à?ó¿€ò¿€
# „ÌXõ[ì? ÿ¿€þ¿€ „ÿâ Á¼Ú?
 €€# „ÖVì/»'ç? ÿ¿€ü¿€ 'VIEW GRAPHS:%ÿ'[Configured for color monitor]
ÿ
„ O¯”eˆé?
ƒ
F¶óýÔx@
ÿ 
ÿ „
à? û¿€# ƒ\Âõ(\ï?€€\Âõ(\ÿ? 
ƒÛù~j¼t @ƒ±Û±"´Oô? €€ÿ¿€ 1ƒ_ñôû®Kô?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒai…Át÷? €€ý¿€ ƒ±Û±"´Oô¿ý¿€
ÿ„à? ó¿€#  „Ï9 ¶”{Ý?ó¿€ò¿€
# „Ï9 ¶”{í? ÿ¿€þ¿€ „O¯”eˆÙ?
 €€# „O¯”eˆé? ÿ¿€ü¿€  "ALT-A6ÿ'Comparison of s', s, and standard error of mean
ÿ
„ é·¯çê?
ƒ
Ï÷S㥛@
ÿ „
Úí¿Å%ŸÜ? û¿€# ƒ§+êƚ ì?€€\Âõ(\ÿ? 
ƒh‘í|?5@ƒ““›Sþ²ð? €€ÿ¿€ 1ƒØÞ>Ÿ¤›ð?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒB¢¿†–«ò? €€ý¿€ ƒ““›Sþ²ð¿ý¿€
ÿ„Úí¿Å%ŸÜ? ó¿€#  „é·¯çÚ?ó¿€ò¿€
# „
GɊêî? ÿ¿€þ¿€ „oÒmÕîØ?
 €€# „é·¯çê? ÿ¿€ü¿€   "ALT-B<ÿ 'Comparison of various forms of standard error of mean
ÿ 
„ zÇ):’Ëë?
ƒ
ƒÀÊ¡E@
ÿ 
ÿ „
?, p½ Ú? û¿€# ƒ ×?Ä÷šé?€€\Âõ(\ÿ? 
ƒ Å °rh‘@ƒ ï®×zŒ,í? €€ÿ¿€ 1ƒ … í?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ VŸbõï? €€ý¿€ ƒ ï®×zŒ,í¿ý¿€
ÿ „ ?, p½ Ú? ó¿€#  „ B“š@\ÜØ?ó¿€ò¿€
# „ ƒ«ñ»·rî? ÿ¿€þ¿€ „ òÕ&íÖ±Ö?
 €€# „ zÇ):’Ëë? ÿ¿€ü¿€  
"ALT-C9ÿ
'Comparison of R, s', s, and standard error of mean
ÿ

„
•Ô h"lì?
ƒ

oƒÀÊ¡@
ÿ
„

ç÷§æ‘0Ø? û¿€# ƒ
D+gñ·´ç?€€\Âõ(\ÿ? 
ƒ
ú~j¼t“@ƒ
»¿\‹Iê? €€ÿ¿€ 1ƒ
°IMê3ê?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ
;~ ½dì? €€ý¿€ ƒ
»¿\‹Iê¿ý¿€
ÿ
„
ç÷§æ‘0Ø? ó¿€#  „
M… Yð4×?ó¿€ò¿€
# „
L’i–³î? ÿ¿€þ¿€ „
j½}˜=|Õ?
 €€# „
•Ô h"lì? ÿ¿€ü¿€   "ALT-DCÿ 'U.& L. 95% confidence limits of mean for various values of n
ÿ 
„ ¥,Cëâì?
ƒ
-²ï§Æ@
ÿ 
ÿ „
Í;fž Ö? û¿€# ƒ ¹??1Ä,æ?€€\Âõ(\ÿ? 
ƒ ìQ¸…ë@ƒ D®ôI'è? €€ÿ¿€ 1ƒ -Ⲹè?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ —fBÀ6Òé? €€ý¿€ ƒ D®ôI'è¿ý¿€
ÿ „ Í;fž Ö? ó¿€#  „ -¸LjÖÕ?ó¿€ò¿€
# „ J°Å€áî? ÿ¿€þ¿€ „ ‚ê7ÿlÔ?
 €€# „ ¥,Cëâì? ÿ¿€ü¿€   "ALT-ECÿ '95% conf.lmts. of mean for n=2 to 4, comparing s.e. formulas
ÿ 
„ ‘z6«>í?
ƒ
Ãõ(\Â@
ÿ „
UUUUUUÕ? û¿€# ƒ 贁Nèä?€€\Âõ(\ÿ? 
ƒ ¦›Ä °r@ƒ ´I´Àzæ? €€ÿ¿€ 1ƒ FA69»ræ?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ  žWHÖ×ç? €€ý¿€ ƒ ´I´Àzæ¿ý¿€
ÿ „ UUUUUUÕ? ó¿€#  „ ³Ðß­Ô?ó¿€ò¿€
# „ ¤Œì¸Ïï? ÿ¿€þ¿€ „ a
üÎÓ?
 €€# „ ’z6«>í? ÿ¿€ü¿€  
"ALT-FDÿ
'95% conf.lmts. of mean for n=4 to 25, comparing s.e. formulas
ÿ


„
I€&†í?
ƒ

9´Èv¾Ÿ@
ÿ

ÿ

„

IHb=Ô? û¿€# ƒ
Ìz·FtÕã?€€\Âõ(\ÿ? 
ƒ
j¼t“@ƒ
»/s˜Õå? €€ÿ¿€ 1ƒ
È5 ‰å?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ
mï ÈMCæ? €€ý¿€ ƒ
»/s˜Õå¿ý¿€
ÿ
„
IHb=Ô? ó¿€#  „
†«,¯Ó?ó¿€ò¿€
# „
;ko…¡ï? ÿ¿€þ¿€ „
ŠsÜ”¬Ò?
 €€# „
I€&†í? ÿ¿€ü¿€  "ALT-G=ÿ'Short-cut formula to elim. t-table use (95% c.l. only)
ÿ 
„ Ãõ(\Âí?
ƒ
ü©ñÒMb @
ÿ „
&h=öKÓ? û¿€# ƒC¢)éâ?€€\Âõ(\ÿ? 
ƒmçû©ñÒ@ƒÖúD8æýã? €€ÿ¿€ 1ƒՏ³Ž¿ûã?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒªp´²÷ä? €€ý¿€ ƒÖúD8æýã¿ý¿€
ÿ„&h=öKÓ? ó¿€#  „%ẃfÒÒ?ó¿€ò¿€
# „wÀnÃi6ï? ÿ¿€þ¿€ „805*òÑ?
 €€# „Ãõ(\Âí? ÿ¿€ü¿€  "ALT-H8ÿ'VIEW ALL GRAPHS. Press Esc to move to next graph.
ÿ 
„ ÞqŠŽäòí?
ƒ
ªñÒMb
@
ÿ 
ÿ  „
3E§yÒ? û¿€# ƒ„@râ?€€\Âõ(\ÿ? 
ƒÏ÷S㥛@ƒ*³šXã? €€ÿ¿€ 1ƒÿ¨muPã?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒÓÓ÷óßã? €€ý¿€ ƒ*³šXã¿ý¿€
ÿ„3E§yÒ? ó¿€#  „n\¸pOÒ?ó¿€ò¿€
# „4³ØðÎGï? ÿ¿€þ¿€ „U{JÑ?
 €€# „ÞqŠŽäòí? ÿ¿€ü¿€ ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=ÿ\=
ÿ

㠎&1”?
ƒ
ã¥›Ä °
@
ÿ „
–è; ÀÑ? û¿€# ƒÛµ:Ð8eá?€€\Âõ(\ÿ? 
ƒ;ßO—n@ƒTáÝ;´2â? €€ÿ¿€ 1ƒŸG©M2â?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒíI|Òîðâ? €€ý¿€ ƒTáÝ;´2â¿ý¿€
ÿ„–è; ÀÑ? ó¿€#  „î1–šbÑ?ó¿€ò¿€
# „¹O±pWï? ÿ¿€þ¿€ „ ƞz´Ð?
 €€# „è&1¬î? ÿ¿€ü¿€  'SAVE GRAPHS FOR PRINTING:0ÿ'Run once only unless graphs are modified.
ÿ
„ äÉå?î?
ƒ
¨ÆK7‰A @
ÿ 
ÿ „
*$`åÎÑ? û¿€# ƒ\uèe;Ãà?€€\Âõ(\ÿ? 
ƒHáz®G@ƒ±–º,nvá? €€ÿ¿€ 1ƒTjßwá?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒS¨Q/â? €€ý¿€ ƒ±–º,nvá¿ý¿€
ÿ„*$`åÎÑ? ó¿€#  „˜óð ŠÇÐ?ó¿€ò¿€
# „‚[ê8dï? ÿ¿€þ¿€ „­?¶‘I+Ð?
 €€# „ãÉå?î? ÿ¿€ü¿€  "ALT-P<ÿ'Press Esc after each graph is displayed, to continue.
ÿ
„ ‘í|?5^î?
ƒ
-²ï§Æ @
ÿ „
ÛöÔ¢T†Ð? û¿€# ƒ\/åW¹1à?€€\Âõ(\ÿ? 
ƒ)\Âõ(@ƒVÐ.¤Ñà? €€ÿ¿€ 1ƒg0—y[Òà?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ= 4
Ãhá? €€ý¿€ ƒVÐ.¤Ñà¿ý¿€
ÿ„ÛöÔ¢T†Ð? ó¿€#  „j&"-};Ð?ó¿€ò¿€
# „vpŸÝoï? ÿ¿€þ¿€ „Aá*]Ï?
 €€# „í|?5^î? ÿ¿€ü¿€ /ÿ'Manually exit to print using PrintGraph.
ÿ
„ ·bÙ=yî?
ƒ
¨ÆK7‰A @
ÿ 
ÿ „
Ð? û¿€# ƒ\Âõ(\ß?€€\Âõ(\ÿ? 
ƒ?5^ºI @ƒ¼Â̈<à? €€ÿ¿€ 1ƒ7â s>à?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒªû”ØiÄà? €€ý¿€ ƒ¼Â̈<à¿ý¿€
ÿ„Ð? ó¿€#  „DÒ"ryÏ?ó¿€ò¿€
# „DÒ"ryï? ÿ¿€þ¿€ „¸bÙ=yÎ?
 €€# „¸bÙ=yî? ÿ¿€ü¿€  "\Aÿ'/xcA~/xq~"Aÿ'/gnuSSSE~q/xr~ "\P1ÿ'/gnuSSSE~ofgbqqsSSSE~r{esc}{esc}{esc}{esc}
ÿ
„ q
à-î?
ƒ
NbX9´ @
ÿ „
¯ÒHh Ï? û¿€# ƒ
é ulÞ?€€\Âõ(\ÿ? 
ƒö(\Âõ@ƒ³$Ú½nß? €€ÿ¿€ 1ƒA;Ÿ2þpß?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒcD¢Ð2à? €€ý¿€ ƒ³$Ú½nß¿ý¿€
ÿ„¯ÒHh Ï? ó¿€#  „r
à-Î?ó¿€ò¿€
# „嶣´ú€ï? ÿ¿€þ¿€ „çoôš‘¦Í?
 €€# „q
à-î? ÿ¿€ü¿€  "\Bÿ'/xcB~/xq~"Bÿ'/gnuSECOMPAR~q/xr~ÿ' 9ÿ'/gnuSECOMPAR~ofgbqqsSECOMPAR~r{esc}{esc}{esc}{esc}
ÿ
„ †ÉTÁ¨¤î?
ƒ
…ëQ¸
@
ÿ 
ÿ „
gúþÝ}+Î? û¿€# ƒ¢ÿþ–‘Ý?€€\Âõ(\ÿ? 
ƒáz®Gá@ƒZ/æËzÞ? €€ÿ¿€ 1ƒ`píe¾}Þ?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒå6-ç]ß? €€ý¿€ ƒZ/æËzÞ¿ý¿€
ÿ„gúþÝ}+Î? ó¿€#  „©H-òoºÍ?ó¿€ò¿€
# „£Ôøtˆï? ÿ¿€þ¿€ „KÒËÿäÌ?
 €€# „†ÉTÁ¨¤î? ÿ¿€ü¿€  "\Cÿ'/xcC~/xq~"Cÿ'/gnuRSSSE~q/xr~3ÿ'/gnuRSSSE~ofgbqqsRSSSE~r{esc}{esc}{esc}{esc}
ÿ
„ ÖÅm4€·î?
ƒ
P—nƒ
@
ÿ „
8¹©~]Í? û¿€# ƒyÞV%ÇÜ?€€\Âõ(\ÿ? 
ƒ+‡ÙÎ@ƒè²tœÝ? €€ÿ¿€ 1ƒ!
sþùŸÝ?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ 8ï,lÞ? €€ý¿€ ƒè²tœÝ¿ý¿€
ÿ„8¹©~]Í? ó¿€#  „8R—ÇõÌ?ó¿€ò¿€
# „Ù¢—¤úŽï? ÿ¿€þ¿€ „Pªñ 0Ì?
 €€# „ÕÅm4€·î? ÿ¿€ü¿€  "\Dÿ'/xcD~/xq~"Dÿ'/gnuCL_UL_95~q/xr~9ÿ'/gnuCL_UL_95~ofgbqqsCL_UL_95~r{esc}{esc}{esc}{esc}
ÿ
„ €·@‚âÇî?
ƒ
áz®Gá
@
ÿ 
ÿ „
Úí¿Å%ŸÌ? û¿€# ƒ§+êƚ Ü?€€\Âõ(\ÿ? 
ƒX9´Èv¾@ƒñ¾æ¶ÏÜ? €€ÿ¿€ 1ƒÇ¡—ø³ÓÜ?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ\oRÇRÝ? €€ý¿€ ƒñ¾æ¶ÏÜ¿ý¿€
ÿ„Úí¿Å%ŸÌ? ó¿€#  „—¦?Ì?ó¿€ò¿€
# „ï”NZ—”ï? ÿ¿€þ¿€ „áÄ´û‡Ë?
 €€# „·@‚âÇî? ÿ¿€ü¿€  "\Eÿ'/xcE~/xq~"Eÿ'/gnuCL2TO4~q/xr~5ÿ'/gnuCL2TO4~ofgbqqsCL2TO4~r{esc}{esc}{esc}{esc}
ÿ
„ HPüs×î?
ƒ
ÓMbX9@
ÿ „
9œûVîË? û¿€# ƒú“ös_Û?€€\Âõ(\ÿ? 
ƒã¥›Ä °@ƒf°Ü? €€ÿ¿€ 1ƒž±†QáÜ?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒV-‘ÅÜ? €€ý¿€ ƒf°Ü¿ý¿€
ÿ„9œûVîË? ó¿€#  „˜Xu¡ç•Ë?ó¿€ò¿€
# „G5§mšï? ÿ¿€þ¿€ „•.z¢¶ëÊ?
 €€# „IPüs×î? ÿ¿€ü¿€  "\Fÿ'/xcF~/xq~"Fÿ'/gnuCL4TO25~q/xr~7ÿ'/gnuCL4TO25~ofgbqqsCL4TO25~r{esc}{esc}{esc}{esc}
ÿ
„ L7‰A`åî?
ƒ
Zd;ßO@
ÿ 
ÿ „
P•<)JË? û¿€# ƒhÀp¾Ú?€€\Âõ(\ÿ? 
ƒ¤p=
×£@ƒZóº­ñfÛ? €€ÿ¿€ 1ƒRD¨˜iÛ?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒ™zµ. Ü? €€ý¿€ ƒZóº­ñfÛ¿ý¿€
ÿ„P•<)JË? ó¿€#  „κ_Þ÷Ê?ó¿€ò¿€
# „`ZX"Ÿï? ÿ¿€þ¿€ „tLÑu#YÊ?
 €€# „M7‰A`åî? ÿ¿€ü¿€  "\Gÿ'/xcG~/xq~"Gÿ'/gnuSHORTCUT~q/xr~6ÿ'/gnuSHORTCUT~obqsSHORTCUT~r{esc}{esc}{esc}{esc}
ÿ
„ ‹lçû©ñî?
ƒ
w¾Ÿ/Ý@
ÿ „
šS®™°Ê? û¿€# ƒ.«Äò'Ú?€€\Âõ(\ÿ? 
ƒd;ßO—@ƒ ǎ–ÃÚ? €€ÿ¿€ 1ƒö¦ÇÚ?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒƒðƒ[“]Û? €€ý¿€ ƒ ǎ–ÃÚ¿ý¿€
ÿ„šS®™°Ê? ó¿€#  „žOe%žcÊ?ó¿€ò¿€
# „+þ ~³£ï? ÿ¿€þ¿€ „‚âÖßÏÉ?
 €€# „Œlçû©ñî? ÿ¿€ü¿€  "\H.ÿ'/xcA~/xcB~/xcC~/xcD~/xcE~/xcF~/xcG~/xq~
ÿ
„ éH.ÿ!ýî?
ƒ
)\Âõ(@
ÿ 
ÿ „
?, p½ Ê? û¿€# ƒ×?Ä÷šÙ?€€\Âõ(\ÿ? 
ƒZd;ßO@ƒ/êÈcØ,Ú? €€ÿ¿€ 1ƒµ7aɟ/Ú?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒQ’%I÷¼Ú? €€ý¿€ ƒ/êÈcØ,Ú¿ý¿€
ÿ„?, p½ Ê? ó¿€#  „åÚ¦­°ØÉ?ó¿€ò¿€
# „Žv%àÁ§ï? ÿ¿€þ¿€ „rUç4`MÉ?
 €€# „èH.ÿ!ýî? ÿ¿€ü¿€ E'NOTE: If you find any error in concepts, please write or call.
ÿ
„ ‚sF”öï?
ƒ
¦›Ä °r@
ÿ „
š™™™™™É? û¿€# ƒJ +‡Ù?€€\Âõ(\ÿ? 
ƒP—nƒ@ƒåäòݵÙ? €€ÿ¿€ 1ƒÿ£7¡Ù?"ø¿€÷¿€×£p=
×@
# \Âõ(\ÿ? ƒú6gï$Ú? €€ý¿€ ƒåäòݵÙ¿ý¿€
ÿ„š™™™™™É? ó¿€#  „— ÒüfUÉ?ó¿€ò¿€
# „¼¼Àªï? ÿ¿€þ¿€ „5)Ý^ÒÈ?
 €€# „‚sF”öï? ÿ¿€ü¿€ 

  3 Responses to “Category : Lotus and other Spreadsheets
Archive   : STATGRAF.ZIP
Filename : STATGRAF.WKS

  1. Very nice! Thank you for this wonderful archive. I wonder why I found it only now. Long live the BBS file archives!

  2. This is so awesome! 😀 I’d be cool if you could download an entire archive of this at once, though.

  3. But one thing that puzzles me is the “mtswslnkmcjklsdlsbdmMICROSOFT” string. There is an article about it here. It is definitely worth a read: http://www.os2museum.com/wp/mtswslnk/