10 jun 2016 slide presentation sta500

7/26/2019 10 Jun 2016 Slide Presentation STA500

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PREPARED BY:

HANIM AFIQAH BINTI IBRAHIMHERTI ADIBAH BINTI JAMALSITI HAJAR BINTI NORDIN

WAN NURUL NAIMAH BINTI WAN AZIMINOR HIDAYAH BINTI MAT SAAD

NONPARAMETRIC ANALOF NECK CANCER


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INTRODUCTIONThe data set cota!s "a#t o$ the data $o# a st%d& o$ o#ao$ cace# "at!ets cod%cted at the M!d(M!ch!)a Med!c

The o#a' cod!t!os o$ the "at!ets ,e#e -eas%#ed ad Method A .at the !!t!a' sta)e/Method B .at the ed o$ the secod ,ee0/Method * .at the ed o$ the $o%#th ,ee0/Method D .at the ed o$ the s!1th ,ee0/

The cace# sta)e o$ the "at!ets ,as #eco#dedSta)e 23 sta)e 43 sta)e 53 ad sta)e 6

Pat!ets ,e#e #ece!7ed a "'ace8o ad the a'oe 9%!ce t#eaSa-"'e s!e3 n; 45 "at!ets ,!th ec0 cace#+


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PROBLEM STATEMENT

The #esea#che# ,ats to 0o, the o#a' co$ the "at!ets at ,h!ch sta)e .sta)e 23ssta)e 5 o# sta)e 6/ o$ cace# #eact ,he#ece!7ed "'ace8o ad a'oe 9%!ce t#eat-e

The #esea#che# ,at to dete#-!e at ,ho$ o#a' cod!t!o .the !!t!a' sta)e3 at the ,ee0 43 at the ed o$ ,ee0 6 o# at the e,ee0


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LITERATURE REVIEWHead ad ec0 cace# !c'%des cace#s o$ the -o%th3 ose3 sa'!7a#& )'ads3 th#oat3 ad '&-ec0+ Most 8e)! ! the -o!st t!ss%es that '!e the -o%th3 ose ad th#oat+ The s&-"to-s !so#e that does ot hea'3 a so#e th#oat that does ot )o a,a&3 t#o%8'e s,a''o,!)3 a cha)e o7o!ce+

A "'ace8o !s s!-%'ated o# othe#,!se -ed!ca''& !e=ect%a' t#eat-et $o# a d!sease o# othe# -!teded to dece!7e the #ece!7e#+ So-et!-es "at!ets )!7e a "'ace8o t#eat-et ,!'' ha7e a!-"#o7e-et ! a -ed!ca' cod!t!o3 a "heo-eo co--o'& ca''ed the "'ace8o e=ect o#

Aloe vera!s a "'at #e-ed& %sed $o# a ,!de #a)e o$ "#o8'e-s+ O#a' A loe vera9%!ce has 8eet#eat-et 8%t st%d!es a#e too "#e'!-!a#& to te'' ,hethe# !t !s e=ect!7e+ N%-e#o%s %he'"$%' #eco#d 8%t the& a#e )ee#a''& -!'d ad #e7e#s!8'e+

Resea#che#s $#o- Id!a>s S!8a# Ist!t%te o$ Deta' Sc!eces ad the *o''e)e o$ Deta' Sc!ecLahe& Hos"!ta' ? Med!ca' *ete#3 B%#'!)to3 4@26 ha7e co#-ed that a'oe 7e#a s!)!cat!a--ato#& cod!t!o ! the -o%th ad a'so ,!th act!7e )e!ta' he#"es+ A$te# th#ee -oths#ece!7!) a'oe 7e#a t#eat-ets had s!)!cat !-"#o7e-et ! e7e#& "a#a-ete# tested+ Thedec#eased 8%#!) sesat!o3 !c#eased chee0 e1!8!'!t& ad a !c#eased a8!'!t& to o"e the

A #esea#ch o$ 4(,ee03 do%8'e(8'!d3 "'ace8o(cot#o''ed t#!a' e#o''ed


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LITERATURE REVIEW Based o the st%d& test o head ad ec0 cace# "at!ets 8& U!7e#s!t& o$ *a'!$o#!a3 Sa F#ac!sa do%8'e(8'!d st%d&3 "at!ets that #ece!7ed "'ace8o t#eat-et ta0e a 'o)e# t!-e to c%#e+ Based t#eat-et )#o%" at #ece!7ed -) o$ "!'oca#"!e th#ee t!-es da!'& had the 8est o7e#a'' o%tco-e c"!'oca#"!e ad "'ace8o ,!th #es"ect to sa'!7a "#od%ct!o ad the #e'!e$ o$ s&-"to-s3 ,he 8oth e=ect!7eess a#e cos!de#ed+

Acco#d!) to a do%8'e(8'!d st%d& that e#o''ed


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METHODData From Thr Or Mor I!"#!"!t Sam#$%

&' KRUSKAL(WALLIS ANALYSIS OF VARIENCE BY RANKS

O)*+t,- Fo# test!) the %'' h&"othes!s that se7e#a' sa-"'es ha7e 8ee d#a,o# !det!ca' "o"%'at!os+

T.t.tat,.t,+.

H ; 242+@@66

D+,.,o!R/$

Re9ect HO !$ H.ca'c/ H .ta8'e/H.ca'c/ ; 242+@@66 H .ta8'e/ 14.2(@+@/3.6(2/ ; +2Re9ect H@

Co!+$/.,o!

We do ot ha7e eo%)h e7!dece to coc'%de that the#e a#e No d!=e#e$o%# sta)e+

O


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METHOD0' MULTIPLE COMPARISON PROCEDURE FOR USE WITH KWALLISO)*+t,- Whe a h&"othes!s test!) "#oced%#e s%ch as #%s0a''(Wa''!s test 'eads

%'' h&"othes!s3 ad th%s coc'%de that ot a'' sa-"'e "o"%'at!os a#e

at%#a''& K%est!o ,h!ch "o"%'at!os a#e d!=e#et $#o- ,h!ch othe#s+ Oo7e#co-e th!s "#o8'e- !s to %se -%'t!"'e co-"a#!sos "#oced%#e+

T.t.tat,.t,+.

D+,.,o!R/$

E1"e#!-et ,!se e##o# #ate ; 2 .2 / ; 2 .2 @+@/6 ; @+2!7e the e1"e#!-et ,!se e##o# #ate !s @+23 the#e$o#e Z; @+2.6.6(

4+2

Co!+$/.,o

!

A'' the -ethod a#e o s!)!cat d!=e#ece e1ce"t sa-"'e 2 ad sa-"

Com#ar,.o!. R,(R* D+,.,o! Co!+$/.,o!Sam#$ & a!"

0

+@@@@


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METHODData From Thr Or Mor R$at" Sam#$%

&2' FRIEDMAN TWO(WAY ANAYLYSIS OF VARIANCE BY RA

O)*+t,- To dete#-!e !$ ,e -a& coc'%de $#o- sa-"'e e7!dece that the#e !s aa-o) t#eat-et e=ects+

T.t.tat,.t,+.

RA ;2+ 3 RB ;5@3 R* ;5 3 RD ;54+

W ; @+4@3 ! ta8'e A+26 8;24 ad 0;6 a#e ot ! ta8'e3 so ,e %se cco-"a#e ch!(sK%a#e

D+,.,o!R/$ Re9ect H@ !$ .2(@+@/ 3 +@44 +2

The#e$o#e ,e #e9ect H@+

Co!+$/.,o!

We do ot ha7e eo%)h e7!dece to coc'%de that the#e a#e No d!=e#e$o%# -ethods+


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METHOD&3' MULTIPLE COMPARISON PROCEDURE FOR USE WITHTESTO)*+t,- To co-"a#e a'' "oss!8'e d!=e#eces 8et,ee "a!#s o$ sa-"'e3 ,he th

,!se e##o# #ate !s and the number of block is large.

T.t.tat,.t,+.

RA ;2+ 3 RB ;5@3 R* ;5 3 RD ;54+

D+,.,o!R/$

Co!+$/.,o

!

A'' R9 R9 V a#e o s!)!cat'& d!=e#et e1ce"t -ethod A ad *+


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RESULT AND FINDIN4SF#o- data th#ee o# -o#e !de"edece sa-"'ecoc'%de that at the -ethod B has o'& oe data

d!=e#ece ,h!ch !s sta)e 2 ad sta)e 6+the #eact!o to the t#eat-et ha""eed at the sta)e6+

F#o- data th#ee o# -o#e #e'ated sa-"'e3 ,e ca

that at sta)e 2 has o'& oe data that !s d!=e#e!s -ethod A . o#a' cod!t!o at the !!t!a' sta)e/ -ethod * .o#a' cod!t!o at the ed o$ ,ee0 $o%the #eact!o to the t#eat-et ha""eed at the ed o%s!) "'ace8o ad a'oe 7e#a t#eat-et+


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CONCLUSIONThe "#e7!o%s #esea#che# state that the #eact!ot#eat-et ha""es at sta)e 6+

O%# #es%'t $o%d o%t that the #eact!o to the t#eat-ha""es at sta)e 6+

At the "#e7!o%s #esea#che# state that the #eact

t#eat-et ha""es at the ed o$ ,ee0 4+ B%t !#esea#ch ,e $o%d that the #eact!o o$ t#eat-eha""es at ,ee0 6+ So3 that !s d!=e#ece 8et,#es%'ts o$ "#e7!o%s #esea#ch ad o%# #esea#ch+Ma&8e3 the d!=e#ece occ%# 8eca%se o$ the eat!)

s-o0!) ha8!ts o$ the "at!ets+

10 jun 2016 slide presentation sta500

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