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B`8$B%67,.A67,.A"67,.%$= A 68@x,-8,=88,!2}%,%A A& 48,!8,%6-%4P:',%A A#7 A A %68,-8,%.8,!!3}768,- 8,"68,-8,%1 A  AC$6-8,-6-8,1 $ 8,! Ad $ A !4}4 6-6-&P:8,',"46-%8,$88,%,8,"A k6-&P:H:,$+&8,$,,C68@R,-&N:P:H:,$!5}8,'A,,R8@R,"k6-&8@R,$+$%,! %!8, * !6-%8,$%$$68,-P:$+$8,%,,$ A!6}P, -88,%,""(HUMAN, A"5 COMPUTER 68@,-/68@,-56-)( MOVEMENT PHASE!7})8,!A" 5 Ab8@R,"& A`568@R,- AR 8,   A 5 6-'8!8}8,%,%AA&D5 A"p"A"0  A 88,%,"A"uC68,-8@g,!68,!9}-8,-68,-8,3 96-C A"@<#A#%-""((!2 Ah< A"` Ai A"@!:}''* * ԠΠԠŠƠ * *""* * ǠԠ * *&&ĠƠΠԠŠՠÛ((* * Ԡ!;}ȠԠ * * ##* * ŠϠӠ * * $(  A& A )  8, $* [6-A(6-@w!<}&8,$@v6-A B6-@:7,,T")8,P:',X [$- <6-P:+&,',6-&$58,%A&A& 9 !=}<$2 !) ) $7 A&%< ! $A "AU6-AVB )67<,.>:,!A)6-A F  6-!>}%$T 3 "6- A' # B)6-3 AU  AB" AX ;8@,! A'+68@!?},-16-; AY 6 A&P68@,-& B,6-6 AZ O6-A'6-A% A&`--56-%!@}A6-@:7,,G"K O ^ : 6- 68@,-& A'P,!6 A&`: _  H:,!67<,.>:,`  "6-!A}$a A'd 6368@,-F:8@0,%8,$Ah%B`,6$ J A(A8@,"8@y,*+8@1,")8!B}@1,",G6-J$ A' T B6-8@,& A'0568@,-J68@0,-%$&T A&` 767!C}%<%,.>:8@0,,( A'P."46-7$ "* 8,6-@T$ '$6-%+N:8,&,%,$N:,%%+ ,'$ + A!D}'P+")+"*@:7,,,A' //!*8@1,"* *8@, A' A' "8@,!)8,"6-!E}"$ 968@,-8@,%,6-8@,2"96-6 +6-8@,%  @I(6-%+$ !@T6-!F}& $ (6-8,%N:8@1,&," (6-  !6- $ a6-8@,6-8,% A'U26-8,$%A6-P!G}:+&,',K A'UW6-&$&a6-$% ? 6-&36-M:+$,#%+8@!,&,#,%? <6-P:,?$ 6-P:',$&%!H}$ 86-@18,"&68,-8,%/8,!868,- / 8,!*8@,"*8,"/68@,- %6-%@g"6!I}7<,.>:8,,%$ 7 -6-  A5-8,8,%7 A00   $ J6-P:',68,--# J8,!J}A0EA0EA0EA0P 68%,- A0` 68%,-8@T,  8,"$ B A A "6-!K}8,%26-88,%,%B6-88,%,% I  A Aq268@v,-P:,$8,6 ?68,-I AC 67%<%!L},.>:8,,& E 6-6-6-)A6A7/6-5";6-E A2`0 k 6-6-8,'8,(6. ATTACKER'S76-!M}8@s,H6-@3%8,R A9P`68,-8,%k6-$8,: b 6-6-8,'8,(6. DEFENDER'S.6-?6-@3%8,!N}I A9PW68,-8,%b6-$8,D  6-'A9A9N 7A@A@%6-8,'8,+6-1!76-]  !O} 6-b  6- ?6-6'g %  6-8, *!%6-8,'l a 6-@%&$?36-?%$?!P}96-C A@PI6-O6-Y A@Pa6-$q L 6-%$$$%H:,$L6-%$$$$+%?$8@s,,%H:,$%$!Q}v X 06- &68,-@:7%,,0 A66-<6-F A@`L6-R6-X6-{ A 8,"6-?` 6-$* A!R}`A6-@%H:,$&$ : 6-6-8@s,#-6,6-8,:"A2  }UNIT #6-& [ 68!S},-@:7%,," A(6-:6-%$8,'8,D A@`L6-%[68@,- R  6-)"*H:, $'8,&?@86.!T}ATTACKER>6-H A5R A20 C 6-'6.DEFENDER "76-&%H:,$$$+%,=!C6- "*H:,!6-&!U}   6- ? 6-P:,6-P:,6-P:,?6-P:8,'8,$A,$? = (}6- A@+( ATTACK VS 36!V}-%= A@ \ -N( BATTLE ODDS: ATTACKER LOSSES:  DEFENDER LOSSES: \"A2P 1 -1(** !W} RETREATS  HEX(ES) ** k6-@&&"6-8@u,-6-8,%7 A@F6-8@v,W6-8@,%a A@!X}k A 7 "6- A# A@- A`7 A9 C-@@&8,@/6-8,9 A!Y}C A9   "$ -6.ATTACKER RETREATS -67<@,. ;-668%,-8, &6-;7<,4AA!Z}3  M68@x,-8,6- ) A596-88,%,%MA4A30  6- A4  A3P  (}![}%H:, &$$ O -/( ӠŠҠĠ9 AfC AI6-O6- , -8, 6-8,%!\},67<,.A   $ A3P6-%68@x,-8,/ A4 56-F6-8@,%P A3pf6-88@,%,%!]}A4A30A3) $ 68@,- "A37  6-8, 6-  8,!6-  !6-&!^}  6-% A38  6-%!%6-% 68@X,- A4$ -68@x,-8,%6-88,%,%--!_} G 8, 6-8,+%A3)A3pGA4A30A3)   $* 1"78@w,<8@w,,2F(6-.6-!`}1$/  6-%!6-&4  6-%$H 2 A A (68,-@:7%,,2 AR :68@Q,-  AC!a}* A90!: AbW  -  $\ 67<,.ADVANCEa ! @:,"67<,.DEFEND!$f 67<,.ATTACK!b}$p O6-H:,$%$ A@`+8,"@36-%96-C A`I!O6-u - $  8,"$ 9 A4!c} AP-$(. A49-6 >6-8@X,!68@,-."*8,"46-> A50 1  *""6-P:!d}',$%@P168@,-  6-"@ AB ^!"*!*"*@:7AE,, 668@,-AE<6-F A!e}'PL6-X"@^6- 6-  A%    A5i% "  . "6-6-68,-$".!f} A4@ 8,"A5P # "6- A4@# A5P '!P:8,'@,)+*,'6- "   6-!g}6-@U $ G#A#%-""(, Af6 A=(G A5 $ A'!$8@, A5!q}#B'DOS SYSB*+DUP SYSBUAUTORUN SYSB1WMAGIC BOPENING B9MAP BRIVER BDATA BTIGERS bDFQEOQPB b^WARVAL bmSEASIND bCAP1   6- A50!68@w,-8,$%8,%!$] -4(%DO YOU WISH TO ATTACK THIS UNIT(Y/N)?@6-AxJ A!r}]"@:Y,A6"@:E,6-$"@:N,$ ( A6E A9E6-8,668,-$$$$+%8!s},$?,E68@u,-$C 68,-68,-$68@s,-*6-2-C8,"A6.06-8,%7<,2>:,& A!t}@u0 A681 6-8,  8,"' A@u1 A6=+ A6- A9+"A6P>2+"*",)8!u}@%, (6-@x2 A6U?p58@,"*@:7AE,, *8@w,AEJ68@,-AET A'PZ"f6!v}-@xp A6U@ A6WB@ -*(WILL THIS UNIT ATTACK(Y.N)?66-A@ AG""@:N, A@u" A!w}6H @:Y,( A6PI@6-8,% Aq@68@u,-8@u,%P:,$8@%,Lf A9@6--68!x}@s,-8@s,%U68,-8,%8,$$$+%8,$?,$f68,-8,%8,V7 8,&@%"6-%767%<%,!y}.>:8,,o 6- $t A6 A9$< A9 A$A 6-8,6-8,   $d 6-8,"!z}*8,"6-eI6-&&P:',$%6-8,&AA86-?:A8<<,F6-$+&$,I$i< - A9 AS#6-)!{}!96-$&$+!,<$j"*8,"6-@uk$n 6-8, A9us 8, 6-8,x) "6-&N:P:$!|}?0,,) A9u}HH(}  ARTILLERY PHASE [0-] ARTILLERY LEFT: P:8,, A )!A9p!}}968,-8,&6-$66-P:H:,$+&8,,$@p,9$__(W} ATTACK STRATEGY: 1=MAJOR ATTACK 2=MEDIUM ATTACK 3=LIGHT!~} ATTACK 4=RECON ATTACK+6-%8, A@ " A@0(6-+$B6-8,'+8,%@@,!6-<!?P%8,)+ *!!},B6- "6-6- A3/6-&H:@,&) )+8,"*!,/6-$ff(^} DEFENSE STRATEGY: 1=C!}OUNTERATTACK 2=HOLD POSITIONS 3=WITHDRAWAL 4=DELAYING ACTION+6-%8, A@ " A@0(6-+$ 6-8,'!}8, 6- $  6-P:M:,,$6-P:H:,$@P%,$? -#( SUPPLY LEFT:P:8,,- A? )!!}A@  6-&$U!H:,$+$%,-4(STRATEGY ALTERED D6-P:H:,$%,N AfU(}$:76-?!}%+N:@P&,$+O:@P&,%,,$? :$R 6-P:,6-8,6-8,:8,!&$%@%H:,$H68,-8,&R A@!}p8 6-8,67%<%,.99*6-%$%867<,.>:,M -.(ԠĠΠԠ8 Af< @ !}D M68,-e -((** UNIT LOST  CP **2 A=6-P:',[68@U%,-8@U%,%e @i 68,-!}$#BU%"($?6-$$$? #68,-8,&)"?68,-8,&$?  8, 68,-$68,-!}P:8,,8, $68,-RRPOSITION Q5,Q3:PRINT "SUPPLY,FUEL";V(EH);" ";V(Q55);:FOR I=Q1 TO Q241:NEXT I$hN 6- !}A"6-8@y,H!*+"AE)"@)"A,N6-r$.O6-8,%O68,-P:+E:+%P:H:,$%,&,$?9&!}?x,%@C,$@@,.d$68@3,-N:N:&,%,$%&'568@4,-%H6-$++&8,,#,S68,-$d68@9,-$!}/}68,-8,&8@9,%$<68@6,-8@6,%%$b68,-8,&8,%A%8,$A}68@3,-P:8@3,!}, /$6#68,-8,%8,!#68,-6F)(!} ԯ٠F( Ū6k6-8,%!}6-@U&6-@/68,-76-$C6-BHG S6-AW c6-AEk6-$6; 6-BI- !}# 3-A47 ; 7/6-BHP6-$-# ' /6-$ 7!-ASA ! 7U-A!}A  %6-16-@VG-@A3Q BH U (75 A6--8,( BB, 568,-27A!} 6--8@q,$ BB( 768@q,-A Ax7 8,8,%BC7)6-8,$%8,%)@:7,,"!}BC 7, 8,"- BB" , BB`78 8," -AA* BB. 8 BB`74 8,"-!}A& BB* 4 BB`7!-Aq BB! 7067<,.=:A%8,,067%<%,.7<,7 "!}6-6-7$7@:7,,"' BC 7$7 8, BBp6-$7 "6-7$7H6-P:+&,',6-!}&&$" & 0 @a: AH67<,.>:,8U67<,.=:A%,+67<%,.7<,A67<,.=:A%,U67%<%!},.7<,8 BC9(6-@:7,,%"@) @8($9 8,"68,-8,%9$96-@:7,,  B!}H9$:G68,-P:+&,','68,-&&8,$26-P:',;68,-C-G : 8,"6- :   $4: BHP!}8,"$>:K67<,.>:,6-$%-67%<%,.9966-8,?6-8,C G K \:;6-A:7%<%,,)6-P:$+&8,,$,!}868@,-;$:$ BU$F:AA,"BPP:K68,-F:AB,'68,-F:AD,968,-F:AC,K68,-F:AE!},:8,!BQ:X-A(68,-A:7%<%,,J68,-8,%8&P:'A,,$&T @iX :; -!}6-$%*68,-A:7%<%,,;8,"BQ;+8,!8,%@! BR+ BQ;@6-A:7%<%,,@P:',%B!}QBQBQBQ;468,-@!68,-@*68,-4 BQ  ;468,-@!68,-@*68,-4 !}BQ  ;468,-@!68,-@*68,-4 BQ ;*68,-@!68,-@*68,-;K68,-A:7<%,,+!}68,-A:7%<%,,=6-8,$%8,%K67<,.>:,;T768,-8,$A8%$+8,%P:8,',,%8,%AeC8,8,T8,!}&8,8,.;I768,-8,$@y%$+8,%P:8,',,%8,%@@8,"I68,-B; 8,8, 8,&8,8,L;y !}A@+AAC1CBr@dUBsA2gA`AGyAaAD[;@4!}$`;! !68@q,-6-!$j; 68,-6-$<)F:AA,"6.D:DATA) BU <, -( }INPUT OLD G!}AME FILE NAME,<567,.>:,,67A ,.>:,567,.<: -667$A%<+%,$A,.7,!}: <5 6.7,!-@(168,-5  B e& -@" 8,& e; -6-$@F%#6-%/ 7 B <7B-@@+-@@/":68<,-> B F7$ N$$** ROUTINE TO FOR%}MAT OUTPUT ***N&&6-P:+%>P,$A,'A0N6-@2NE 6.=:,B:, @E67B:,%@,.7@<@%}&B:,,4N'6.7B:,&&@N47@<%}@,0.467B:,%@,..00HNH6- -@B:,-7<,0.;6-%@? H6-B:,IN6-'B%}RN$0u''SUBROUTINE TO CREATE STRING ARRAY:u%%6-+&@,$@%%@Du$ D:PAYROLL2NEV1V2V3V4NET$k12;LZ9APUAA1APZ2F1RSSRNNQXJ@@@)}  Z2 )}2(&2******************* UTILITY *******************RR;@,;@,;@)},;A,;@P,;@P,;@P,006.&  5 +2  )}̠٠5 ++ #UTILITY THEORY HAS TO DO WITH ONE'S'' PREFERENCE FOR VARIOUS DECISION,, $ALTERNATIVES)}. SUPPOSE EVERY DECISION-- %ONE CAN MAKE LEADS TO KNOWN MONETARY   -- %THE DECISION WITH THE HIGHEST PAYOFF.#--)} %HOWEVER, IF THERE IS SOME UNCERTAINTY%((  IN THE RESULT OF A DECISION THE (++ #CORRECT DECISION IS NOT SO OBVIOUS.*)}-- %UTILITY THEORY PERMITS US TO ASSIGN A-$$ NUMBER TO EACH PAYOFF, ITS '/&& HIGHER PAYOFFS LEAD TO HIGHER 2)) !)}UTILITIES BUT A UTILITY OF 2 FOR 4** "$5000 DOES NOT NECCESSARILY MEAN A7&& UTILITY OF 4 FOR $10000. ONCE 9++ #UTIL)}ITIES ARE DETERMINED DECISIONS <3' ARE BASED UPON HIGEST EXPECTED 3 UTILITYF  BP +Z'' UTILIT)}IES ARE DETEMINED IN THE \++ #FOLLOWING WAY: THE POSSIBLE PAYOFFS_++ #ARE RANKED FORM HIGHEST TO LOWEST. a++ #THE HI)}GHEST PAYOFF IS ASSIGNED SOMEd,, $ARBITRARY UTILITY, SAY 1. THE LOWESTf'' UTILITY IS ASSIGNED SOME LOWER i-- %ARBIT)}RARY UTILITY,SAY 0. WE DERERMINEk-- %THE UTILITIES OF THE OTHER PAYOFFS BYn-- %SETTING UP A GAMBLE. WE ARE GIVEN THEp)}-- %CHOICE OF HAVING THIS PAYOFF FOR SUREs-- %OR OF GETTING THE HIGHEST PAYOFF WITHu-- %THE PROBABILITY P AND THE LOWE)}ST WITHx%% PROBABILITY 1-P. WITH P BEINGz,, $DETERMINED THE UTILITY OF THE MIDDLE}-- %PAYOFF IS COMPUTED. AS THE PA)}YOFFS GO** "UP SO MUST P. WE LOOK FOR THE P SO++ #THAT WE ARE INDIFFERENT BETWEEN THE** "SURE THING AND THE GAMBL)}E. UTILITY&& THEORY SAYS THERE IS SUCH A P.  B+,, $FOR EXAMPLE IF THE LOWEST PAYOFF WAS++ )}#$0 AND THE HIGHEST WAS $100000 THEN,, $FOR AN INTERMEDIATE PAYOFF OF $50000,, $WE WOULD ASK WOULD WE PREFER $50000 )}%% FOR SURE OR $100000 WITH THE -- %PROBABILITY P AND $0 WITH PROBABILITY** "1-P. KEEP ADJUSTING P UNTIL WE ARE)}-- %INDIFFERENT TO THE SURE THING AND THE BET. THIS IS P. '' DIFFERENT PEOPLE HAVE DIFFERENT** "UTILIT)}Y FUNCTIONS. THUS UNDER THE ++ #SAME CIRCUMSTANCES DIFFERENT PEOPLE-- %MAY MAKE DIFFERENT DECISIONS AND BOTH,, $S)}TILL MAXIMIZE EXPECTED UTILITY. THE)) !PROGRAM WILL ASSIGN UTILITIES TO -- %DOLLAR AMOUNTS BETWEEN $0 AND $100000-)}- %WITH THE UTILITY OF $0 BEING SET TO 0,, $AND THAT OF $100000 BEING SET TO 10.% ! PRESS TO BEGIN%,)}&&9@ ,9@ ,9@ ,6WW0,100,1000,3000,5000,10000,20000,30000,40000,50000,60000,70000,80000,90000,100000@)}B-@@"$68,-( BӠҠΛJ-68@,--68@,-@O-68@,-)}-68@,-@T +^-@@c h,, $WITH WHAT PROBABILITY (P) WOULD YOU m,, BE )}INDIFFERENT TO $ FOR SURE ORr%% $ WITH PROBABILITY P ANDw)) $ WITH PROBABILITY 1-P. THIS|-- %PROBAB)}ILITY MUST BE AT LEAST EQUAL TO B A + ENTER THE PROBABILITY/868,-B Bm$8, 8&@)},)8,!@D PROBABILITY MUST BE BETWEENU6-8&@,c  AND m A` ŠӛL)}-@@H68,-8,$8@,%+@&8,,$8@,L 0 +, IS PRINTED OUTPUT DESIRED0%0)}Y*0N B% A&&6. PAYOFF UTILITY + 4Y3&-@@08 6)}-8,6-8,86-P:+%>P,$A,'A: 6.=:,6.=:,D 6-B:,6-B:,N-@X7<,4.)}A b g,"67%@<%@,..00, APl"%@APv 67%@<%@,.06-)}@6-@% 6-B:,8#67@<&,.7@<&,867&%@<,.<'67%@<&,.7%@<&,)}<67&%@<,. 4Y3 -@@': Ԡҡ ٠Ρ3-@A)}7 :$t'(! PRESS TO CONTINUE%($ D:UTILITY@@@(CXABTE  -}  *********************** SORT3 *********************** + -};@,6. (SHELL METZNER SORT)##  ̠Ҡ*. . #THE INPUT OF THIS PRO-}GRAM IS A LIST+++ #OF WORDS. THE OUTPUT IS THE LIST IN,** "ALPHABETICAL ORDER. WHEN INPUTTING--- %DATA DO NOT IMBED -}COMMAS WITHIN INPUT. WORDS. /((  THE SHELL SORT IS GENERALLY MORE0?< 4EFFICIENT THAN THE EASIER TO UNDERSTAND BU-}BBLE SORT.? 1@;@,2 ENTER ANY CHARACTER TO BEGIN6@+25 @P5 "INPUT NUMBER OF ITEMS TO BE SO-}RTED< BF= @p= *INPUT MAXIMUM NUMBER OF LETTERS IN AN ITEMP BZ;$,;%@,-};,dINPUT ROUTINEn x6- PLEASE INPUT ITEMS-@  INPUT ITEM # 6-}-B:,A88 0ITEM HAS MORE THAN THE MAXIMUM NUMBER OF LETTERS  INPUT AGAIN AE"A-}67%@<%,. 6-%%%67%@<%,.7@<&, 6-%  A67%@<%-},." AP,SORTING ROUTINE1 SORTING-SORTING-SORTING3    6 6-@6-P:'@,J$$TEST TO S-}E IF SORTING COMPLETET @Ap^-@h-&r 6-|**6.7+%&@,$%@<+%,$-},,,37+&@,$%@<$,A0EE67+%&@,$%@<+%,$,.7+&@,$%@<$, 6-&-}@A**67+%&@,$%@<+%,$,.   A PRINTING ROUTINE-@-}"" 7+&@,$%@<$, D:SORT3 ,FmZ9FSVBZZE 1}****************** BREAKEVEN ****************** +;@, !!  ˭Π1} )) !FOR THIS PROGRAM,WE ASSUME THAT A -- %COMPAYN HAS CERTAIN FIXED COSTS. THIS#++ #COMPANY IS SELLING AN ITE1}M SUH THAT%,, $VARIABLE COST/UNIT SOLD OF THAT ITEM(++ #IS KNOWN. WE ALSO KNOW THE PRICE AT*++ #WHICH THE ITEM IS SO1}LD. GIVEN THIS --- %INFORMATION WE CAN COMPITE THE NUMBER/++ #OF UNITS OF THE ITEM WHICH THE FIRM2-- %MUST SELL TO J1}UST BREAK EVEN, I.E. SO4-- %THAT THE NET SALE REVENUE JUST COVERS7,, $FIXED COSTS. WE CAN ALSO COMPUTE THE9-- %NUMBE1}R OF ITEMS THE COMPANY MUST SELL<&& TO MAKE ANY GIVEN PROFIT. THIS>&& PROGRAM WILL DO BOTH TYPES OF A  COMPUTATI1}ONS.F Z" PRESS TO BEGIN"d +i INPUT THE FOLLOWING:n= A/ TOTAL FIXED COSTS IN D1}OLLARS3= Bx> A 0 UNIT SELLING PRICE IN DOLLARS4> BB A04 !VARIABLE COST PER UNIT I1}N DOLLARS8B B6-'+&,$$6-P:$A%?P,'A( ( BREAKEVEN POINT =  UNITS ,1}, $TO LOOK FOR GIVEN PROFIT POINT INPUT,, $1, TO DO ANOTHER BREAK EVEN ANALYSIS INPUT 2"@A1} "@APA Ԡҡ ٠Ρ3-@A7 A A` : AP, WHAT 1}PROFIT DO YOU DESIRE0: B6-+%,'+&, $$6-P:$A%?P,'A  "" SALES NEEDED FOR PROF1}IT  EQUALS  UNITS G A9 &INPUT 1 FOR ANOTHER BREAKEVEN ANALYSIS=G B""@2}A D:BREAKEVNZZE 0dq Z9Z1NNHHJ ******6}*************** VALADINF *********************@@;@,;@, 8 +6}8 &ŠƠ̠Š ,, $IN SITUATIONS WHERE SAMPLING IS DONE'' IT IS GENERALLY ASSUMUMED6} THAT ,, $LARGER SAMPLES PROVIDE MORE INFORMA-#-- %TION ABOUT THE TRUE SITUATION THAT DO('' SMALLER SAMPLES. THE A6}DDITIONAL*,, $INFORMATION WHICH THE LARGER SAMPLE -,, $SIZE BRINGS COULD BE COMPUTED IF WE /-- %COULD SOMEHOW MEASUR6}E THE UNCERTAINTY2** "IN THE INFORMATION BOTH BEFORE AND4((  AFTER TAKING THE SAMPLE. SUCH A 7,, $MEASURE OF UNCERTA6}INTY EXISTS AND IS9,, $SOMETIMES CALLED SHANNON INFORMATION<((  THIS PROGRAM GIVE BOUNDS ON THE >++ #UNCERTAINTY WHE6}N SAMPLING IS COMINGA((  FROM A NORMAL DISTRIBUTION WITH C BOUNDED VARIANCE.D  B+F)) !NECESS6 }ARY INPUT INCLUDES AN UPPERH,, $BOUND ON THE VARIANCE OF THE DISTRI-K-- %BUTION, THE NUMBER OF OBSERVATIONS INM-- %T6 }HE INITIAL SAMPLE AND THE ADDITIONALP** "NUMBER OF OBSERVAIONS IN THE FINALU SAMPLE.Z% ! PRESS TO BEGIN6 }%d +n,, $DO YOU HAVE BOUND FOR VARIANCE(V) ORs" STANDARD DEVIATION(S)"x%0S*0V B%6 } A[ A04S? $ENTER STANDARD DEVIATION UPPER BOUNDCQ6-#@[ BL A@4V5 6 }ENTER VARIANCE UPPER BOUND9B6-M:,L B 4 AU& INITIAL SAMPLE SIZE*4 B7 A`) 6}ADDITIONAL SAMPLE SIZE-7 B16-K:'M:,,%@16-K:'M:%,,%@E$6-P:B$%?P,'BE6}6-P:B$%?P,'B "" INITIAL UNCERTAINTY WAS  !! FINAL UNCERTAINTY WAS  (( T6}HIS REPRESENTS A CHANGE OF &,, $UNCERTAINTY UNITS AND IS A CHANGE OF86-+&,'$A86-P:B$%?P,'6}B ABOUT %% ! PRESS FOR MORE% A': Ԡҡ ٠Ρ3-@A6}7 :$t'(! PRESS TO CONTINUE%($ D:VALADINF ******4DGHIZZ9ACTCTNTBZ2BF1CDERSSSSMXCDSEJR@:}@@@  @   2:}> H R \ f2%2 !"#:}$%&' TIMUSAN6-ss;@,;@,;@,;@P,;@,:};@,;@,;@,;@P,;@P,6-@//6.%  / +:},  ŠŠ/ ,, $TO USE THIS PROGRAM THE SUBJECT MUST++ #KEEP A CAREFUL LOG OF HOW HE SPENDS:}-- %HIS TIME FOR A WEEK, OR POSSIBLY SOME#++ #SOME OTHER PERIOD. EACH CATAGORY OF%,, $ACTIVITY IS GIVEN A CODE, E.G:}. LUNCH(## MIGHT BE A 1. THE CODES ARE*-- %SUCCESSIVE INTEGERS BEGINNING WITH 1.-- - "WHEN THE DESIRED AMOUNT OF :}DATA IS/,, $AVAILABLE THEN FOR EACH ACTIVITY AND2,, $TIME PERIOD THE USER ENTERS THE CODE4,, $AND NUMBER OF MINUTES :}PERFORMING THE7  ACTIVITY.<. . #THE FINAL PRINTOUT IS A SUMMARY OF A,, $THE PROPORTION OF TIME SPENT ON EACHF:}  ACTIVITY.Z% ! PRESS TO BEGIN%d +nZ AL 9ENTER THE NUMBER OF DIFFERENT ACTIVI:}TY CATEGORIESPZ BsL6-AL;+%@,$@,9,9,9%@,9%@,t$$67$%@<:}$%@,. ur-@%@E67+&@,$%@<$,. T68,-c68,-r68,-: }v x -@  CATEGORY o AE+ DESCRIPTION(<=10 CHARS.)/86-B:,e67+&@,:!}$%@<+&@,$%,.o B   A @< 3IS CATEGORY PRINTOUT ON LINE PRINTER DESIRED :"}(Y/N)@%0Y*0N B% Ap@ 4Y< +PRESS WHEN LINE PRINTER IS READY@D 4Y:#}-@@3---7+&@,$%@<$,D  4Y3  }** "TIME USE INPUT NEXT. FOR EACH ITEM:$}((  ENTER CODE AND NUMBER OF MINUTES -- %PERFORMING THE ACTIVITY AT THIS TIME. ,, $ENTER 0,0 TO END AND -1,0 TO DISPL:%}AY  CATEGORIES. 300 ENTRIES MAY BE MADE##  THERE ARE  CATEGORIES.*6-*NUMBER OF TIME USE I:&}TEMS "q A# ENTRY %@?  ENTER CATEGORY #,TIMEEV68%@,-g68%@,-q B':'}H/8%@,"*8%@,"9 AHFINISH ENTRY)D08%@,"6@*8%@,": A:(}D A,ZF8%@,P:8%@,,)8%@, @)8%@,!P BZ A66-%@@:)}6-%8,TOTAL TIMEJ3688,,-88,,%8,3TOTAL TIME IN CATEGORYO4688,,-88,,%@4NO.TIMES IN CATEGORY:*}T AANALYSIS AND PRINT OUT//6.%TIME(MIN) # OCCUR AVG.TIME %TOTAL0, #IS LINE PRINTER OUTPUT DESIRE:+}D(Y/N)0%0Y*0N B% A@9 4Y5 $PRESS WHEN LINE PRINTER READY9- 4Y'3 :,} TIME USE ANALYSIS-3  +-@==  CATALOG #-  DESC.- 7+&@,$%@<$,E 4:-}YE3 CATALOG #-  DESC.- 7+&@,$%@<$,  4Y3 6-8,6-8,*8,! 6:.}-8,'8,* A6-6-8,'$Al&6-P:+%>P,$A,'AI6-P:+%>P,$A,'A:/}l6-P:+%>P,$A,'A' 6.=:,6.=:,6.=:,'6.=:, E 6. A6.6.) A/6.:0}56.? AE6.36-@6-@'6-@%36-@7A 6-B:,,67@<&,.7@<&,A67&:1}%@<,.E 6-B:,067%@<&,.7%@<&,E67&%@<,.!E 6-B:,067%@<&,.7%@:2}<&,E67&%@<,.#E 6-B:,067%@<&,.7%@<&,E67&%@<,.& + 4Y30-- :3}%_____________________________________55 4Y53%_____________________________________6%6-%@%@A :4}: D    ))ROUTINE TO PLACE 0'S IN RIGHT PLACE* 6-B:,4-@>7<,4.APH M%":5}67%@<%@,..00%$R"%@$\# 67%@<%@,.0#$1- $PRESS TO CONTINUE WITH :6}OUTPUT1# +6-# @LIST CATEGORIES ON SCREENK +-@D  7+&@:7},$%@<$,H K$G +-@C  7+&@,$%@<$,G ';  ҡ ٠:8}Ρ 4-@A8 ;$t'%! PRESS TO CONTINUE% D:TIMUSAN@8W  ; ZCCQd******************** EOQ **>:}****************** (}@@ &#( Ѡ٠&(t-(%IN INVENTORY THEORY A REORDER >;}COST IST("A FIXED COST ASSESSED EACH TIME ANt(ORDER FOR AN ITEM IS PLACED(t-(%NO MATTER WHAT THE ORDER QUANTITY IS.Q><}(A HOLDING COST IS A COST DUE TOt(HOLDING INVENTORY,E.G.INTEREST<f-(%A STOCKOUT COST IS DUE TO RUNNING OUT=( OF AN >=}ITEM.f($IN THIS PROGRAM WE ASSUME THAT THEREFr-(%WILL BE NO STOCKOUTS. IN ADDITION THEN(THE ITEMS ARE USED UNIFORMLY>>}r(THROUGHOUT THE YEAR WE CAN TAKEPX.(&DELIVERY OF A REORDER WHENEVER WE WANTX(%DEMAND IS IN NUMBER OF ITEMS PER YEARZ>?}g.(&REORDER COST IS IN DOLLARS PER REORDERV(#HOLDING COST IS IN DOLLARS PER ITEMd( PER YEAR.g(_;A,c"(>@}PRESS RETURN TO BEGIN" (}' A(DEMAND' B- A ( REORDER COST#- B- >A}A0( HOLDING COST#- B6-M:@$$',6-P:%?P,,(@O, $TO MINIMIZE TOTAL COSTS OF I>B}NVENTORYO REORDER  ITEMS AT A TIME.T(^Z? THIS MEANS ORDER APPROXIMATELY P:'%?P, TIMESZ PER YEAR>C} ABOUT EVERY h00(P:Ae'P:'%?P,%?P, DAYS. D:EOQ******************** EOQ **<L?@` Z9NQPTCF1VWXYRTTTTVQAWXSYIRBE}A A A  {2  " . : BF}2&2 !"# FQEOBG}QPB;@,9@ ,9@ ,9@ ,;@P,;@P,;@P,;@,;@,;@,;@BH},;@,006.&  6 +6 $ ٠٭Ġ٠*' BI} Ԡ٠Š* ++ #THIS PROGRAM INVOLVES AN INVENTORY ,, $PROBLEM FOR WHICH IT IS ASSUMED THAT&BJ}& THE FOLLOWING CONDITIONS HOLD:99 11.THERE IS A CONSTANT ORDERING COST PER ORDER == 52.INVENTORY HOLDING COST IBK}S CONSTANT PER UNIT HELD#GG ?3.NO BACKORDERS ARE PERMITTED (STOCKOUTS) NOT ALLOWED%HH @4.DEMAND FOR THE ITBL}EMS ARE CONSTANT AND UNIFORM THROUGH TIME()) !5.THERE ARE QUANTITY PRICE BREAKS-,, $THE QUANTITY PRICE BREAKS ARE OBM}F THE9$$ FIXED-LOT DISCOUNT TYPE I.E.<-- %DISCOUNTS (IN PRICE/UNIT) ARE OFFERED>-- %FOR THE PURCHASE OF CERTAIN FIXBN}ED LOTA** "SIZES. THERE IS ALSO AND ORDINARY C)) !PRICE/UNIT IF THAT PARTICULAR LOTF SIZE IS NOT OFFERED.Z" BO}PRESS TO BEGIN"d +i ҠŠǺn< A. ANNUAL DEMAND(IN UNITS) 2< BBP}x< A . REORDER COST(PER ORDER) 2< B< A0. HOLDING COST(PER UNIT/YEAR)2< BBQ}< A@. NORMAL PURCHASE PRICE/ITEM 2< BB A` 4 HOW MANY LOT SIZES ARE OFFERED8B BBR}-@ FOR LOT SIZE # @ A)  LOT SIZE QUANTITY -668,-@ B@ A)  PBS}RICE/UNIT -668,-@ B  0!68,-M:@$$',068,-;-76BT}8,-$8,%'8,$%8,'@$; ,--6.# # SIZE PR./UNIT TOT.COST^ +h-- %# REFERS TO THAT LOT BU}SIZE #. LOT SIZEm)) !#0 REFERS TO THE LOT SIZE WITHOUTr-- %CONSIDERING THE QUANTITY PRICE BREAKS|  -BV}ԠǠś{ 6-/6-P:+8,%?,$A,'AU6-P:+8,%>P,$A,'A{6-P:+BW}8,%>P,$A,'A' 6.=:,6.=:,6.=:,'6.=:,E 6. A6.6.) A/6.56.? BX}AE6.36-@6-@'6-@#36-@5A 6-B:,,67@<&,.7@<&,A67&%@ A0 NUMBER OF YEARS TO EXPIRATION4> B;Q Ff}AC 0EXPECTED ANNUAL GROWTH RATE OF STOCK PRICE IN %GQ B@d A V CVOLATILITY OR ANNUAL STANDARD Fg} DEVIATION OF STOCK PRICE IN %Zd BE06-+@%'A,#06-$M:,'AJ##6-@e$+',$$+@Fh}%,T5  '6-$+'&@,+6-@5 A`^S/6-$+&@,$+'+$,,#+'+&@,,S6-+'+$,,#+Fi}@'+&@,,h A !!Ǡ͠ԠΛ6-$$6-+M:#@%#@,&,$ +Fj}&&6-P:+%=P,$B,'B!! THE VALUE OF THE WARRANT  EQUALS &&6-P:+%=P,$B,'BFk}'' THE HEDGE RATIO= $$ THE THEORETICAL VALUE OF THE  WARRANT = $+&,% ! PRESS Fl} FOR MORE% A &&6-P:+%=P,$B,'BD:WARVAL DV,-PaZ9ABCINAZ2BCDEFCCIIC @@@@Jn} Jo}********************* SEASIND ********************* (}**(" ̠ؠҠŠJp}(t%(MOST BUSINESSES SHOW SEASONALN($VARIATIONS OF SALES. THAT MEANS THATt(!THE SALES AT ONE TIME OF THE YEAR#Jq}T,($ARE HIGHER THAN THOSE AT OTHER TIMEST(#YEAR AFTER YEAR. THE SEASONAL INDEX(u%(FOR A SEASON(OR MONTH) IS THEO(%PJr}ERCENTAGE THAT SEASON'S SALES ARE OFu(!THE SALES IN AN 'AVERAGE' SEASON.-S,($FOR EXAMPLE IF A STORE SELLS $60,000S("PEJs}R YEAR, OR $5,000 PER MONTH AND 2G,($AVERAGES $8,000 DURING JUNE THEN THEG(INDEX FOR JUNE IS 160.7(<Q*("THIS PROJt}GRAM WILL COMPUTE SEASONALQ("INDICIES. WHAT IS NECESSARY IS THEAN'(INPUT OF SALES AMOUNTS FOR EACHN("SEASON FOR AT LEJu}AST SEVERAL YEARS.FU+(#THE PROGRAM WILL ACCEPT FEWER YEARSU(%BUT THE RESULTS WOULD BE MEANINGLESS.K(;@,;Jv}@,P"(PRESS RETURN TO BEGIN"d999A<@,9@,9@,9@,n (}x@ A 2(Jw}NUMBER OF SEASONS IN YEAR(<=12)6@ B}4 !@) @)P:,* B4 A P A03(!NUMBER OJx}F YEARS OF DATA AVAILABLEB( (<=100)FP B4 !A) )P:,* B4 A0(66-Jy}#-@@268,-6 -@(DATA FOR YEAR -@F A-( ENTER Jz}DATA FOR SEASON 1<68<,-F B*68,-8,%8<,*SEASONS TOTALL.756-%8<,  (6-J{}'+$,(AVERAGE SEASONAL SALES5-@68,-8,'# 5SEASONS AVERAGE7-@#68,-8,'+$,' 7J|}RATIOS NEEDED,+'(IS LINE PRINTER OUTPUT DESIRED+6%0Y*0N B% A@7 4Y3("PRESS RETURN WHJ}}EN PRINTER IS READY7JG (}D(AVERAGE MONTHLY SALES = $P:A$%?P,'AG(^I 4YF3AVERAGE MONTHLJ~}Y SALES = $P:A$%?P,'AI(h++(#SEASON AVERAGE SALES INDEXr9 4Y33#SEASON AVERAGE SALEJ}S INDEX93 PRINT USING ROUTINE<<;@6,;A,;@P,;A,;@P,-@& J}6.6.6.6.&6."@6. " AP 6. *8,C 6. * APJ}+8,B!6. + AP,8,B"6. , AP-8,A#6. - AJ}P.8,A$6. . AP/8,@%6. / AP08,@&6. J} 0 AP6. &))6-+P:8,$A%?P,,'A0&&6-+P:$@%?P,,'@:J}#"P:8,,6..00# AD "6.0X)8,B6. ) A`b*8,A 6. *J} A`l+8,A!6. + A`v,8,@"6. , A`-8,@#6. J} - A`6. ))6-+P:8,$A%?P,,'A&&6-+P:$@%?P,,'@#"P:J}8,,6..00# A "6.0 $! 4Y!3$  ( t'8(INJ}PUT ERROR TRY AGAIN1-@A5 8$ D:SEASIND @@@@H@  2wZRRRd******************** CAP1 **********N}**********@@ (}L-(%̠ԠǠ̠ I( ƠL(P'(TN}HE CAPITAL ASSET PRICING MODELP($STUDIES THE RISK-RETURN IMPACT OF ANQ.(&INVESTMENT PROPOSAL UPON AN INVESTOR'SQ(PORN}TFOLIO OF STOCKS AND OTHER #P(( INVESTMENTS. THE MODEL GIVES THEP(#EXPECTED RETURN FOR THE MARKET AS A(W-(%WHOLE,THE N}RISK-FREE(I.E. U.S.TREASURYW(%BOND)INTEREST RATE,AND THE VOLATILITY2R+(#OF THE RETURN ON THE INVESTMENTWITHR("RESPECT N}TO THE REST OF THE MARKET.5>( (;A,4(PRESS RETURN TO CONTINUE8>(}7--(%A VOLATILITY OF 1 MEANS THE RN}ETURN ON<O*("THE INVESTMENT WILL CHANGE JUST ASO( THE MARKET CHANGES, A VOLATILITYAT-(%GREATER THEN 1 MEANS THE INVESN}TMENT'ST("RETURN MOVES IN THE SAME DIRECTIONFT)(!AS THE MARKET BUT AT A MORE RAPIDT(&RATE. VOLATILITY OF 0 MEANS THE RN}ETURNKT+(#ON THE INVESTMENT IS INDEPENDENT OFT($MARKET MOVEMENT. NEGATIVE VOLATILITYP\.(&MEANS RETURN ON THE INVESTMEN}NT AND THEV(#MARKET MOVE IN OPPOSITE DIRECTIONS.Y(\(Z%!(PRESS RETURN TO CONTINUE%_ (}dT,($FOR PUBLICLY TRN}ADED STOCKSVOLATILITYT(#MAY BE ASCERTAINED BY EXAMINING THEiv)(!LITERATURE.JUST LOOK FOR BETA.FORL(OTHER INVESTMENTS N}ASCERTAININGv(%VOLATILITY IS SOMEWHAT MORE DIFFICULTn.( ($(PRESS RETURN TO BEGIN(.(}N A2(ENTER TN}REASURY INTEREST RATE(%)6D6-'AN BN A2(ENTER EXPECTED MARKET RETURN(%)6D6-'AN N}B@ A 2(ENTER VOLATILITY FOR INVESTMENT6@ B)6-%+&,$)RI IS EXPECTED RETURN6-$AN}A 3('THE EXPECTED RETURN ON THIS INVESTMENT A(IS % ( (6-$A6-$A5+("PRESS RETN}URN FOR MORE COMPUTATIONS/5(}" AD:CAP1******************** CAP1 **********L@ ************** DEPLETE **************'@}'@@9CLEAR 5000<<;A,;A,;A,;A,;A,DEFDBL A-Z }}d-@@@ -" E  ΠY-@@@` -d  -- %DEPLETION REFE}RS TO EXHAUSING NATURAL ,, $RESOURCES. DEPRECIATION CHARGES WHEN",, $COMPUTED BY THE DEPLETION METHOD ARE$-- %PROPOR}TIONAL TO THE PRODUCTION LEVEL.&,, $THIS IS BECAUSE, IN THE CASE OF NON-(// 'REPLACEABLE NATURAL RESOURCES, WHEN THE*}-- %RESOURCE IS USED UP THE THE LAND USED,,, $IS OF NO MORE VALUE FOR THAT PURPOSE2// 'IF SOME ESTIMATE CAN BE MADE OF} THE TO-7-- %TAL PRODUCTIVE OUTPUT OF A MINE, E.G.<.. &AND OF THE COST OF THE MINE TO DEVELOPA** "THEN IN A YEAR IN }WHICH 10% OF THED.. &TOTAL REPRODUCTIVE OUTPUT IS MINED 10%F// 'OF THE ORIGINAL VALUE OF THE MINE WOULDK++ #BE USED }AS THE DEPRECIATION AMOUNT.Z% ! PRESS RETURN TO BEGIN% }A A3  COST OF PURCHASE AND DEVELOPMENT}7A B A A 3  FINAL SALVAGE VALUE ESTIMATE 7A B A A03  TOTAL REPAIR COST} OVER LIFE 7A B I A@; (INPUT ESTIMATE OF LIFE PRODUCTIVE OUTPUT?I B96-++&,%},'9MULTIPLICATION FACTOR ON PRODUCTION 6.0 6. ,( (INPUT SEVERAL PRODUCTION LEVELS6D A6 #ENTE}R PRODUCTION LEVEL (-1 TO END) :D B7"6@ A;%-@@@ -" % @6-P:$$A},6.=:,B&A:, A&67B:,%@,.EB:, @ A0G A5J/6-%@%67B:,%@},./ A%O 6.TWW DEPRECIATION CHARGES ARE $7@