Modul2 Statek-science Statistics

8/17/2019 Modul2 Statek-science Statistics

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Science andStatistics

Statistics for experimenter,

George E.P.Box, William G. Hunter, J.S. Hunter



SCIENI!IC

"ESE#"CH

• a detailed stud$ of a su%&ect,especiall$ in order to disco'er(ne)* information or reac+ a

(ne)* understandin

• "esearc+ comprises creati'e)or- underta-en on as$stematic %asis in order toincrease t+e stoc- of

-no)ledge,

• a s$stematic )a$ of gat+eringdata and +arnessing curiosit$.

(Cres)ell* "esearc+ is aprocess of steps used tocollect and anal$/e

information to increase ourunderstanding of a topic orissue.

It consists of t+ree steps0•Pose a 1uestion,•collect data to ans)er t+e1uestion, and•present an ans)er to t+e1uestion.234

https://en.wikipedia.org/wiki/Research%23cite_note-6

https://en.wikipedia.org/wiki/Research%23cite_note-6



SCIENI!IC

"ESE#"CH5##

S#ISIC#67EH85S

• To make the processas efcient as possible

# 6E#"NINGP"8CESS



A learning proses • Seorang pemuda # %ersama

se&umla+ sis)a di se%ua+ruang. # menuang-anminuman (larutan* pada

se%ua+ gelas. # %ertan$aapa $ang a-an ter&adiapa%ila larutan terse%utterus menerus dituang-anpada gelas.

• Sala+ satu sis)a men&a)a%,%a+)a larutan a-an penu+sampai %agian atas danterus -eatas seperti airmancur. Be%erapa sis)a lainsepa-at.

• Sala+ satu sis)a lainn$a%erpendapat larutan a-an

tumpa+ melalui tepitepigelas.

• # menga&a- sis)asis)aterse%ut mela-u-ane-sperimen dan pem%u-tianapa $ang se%enarn$a ter&adi

!! ??



-e$learning

start )it+ 1uestions,dissenting (per%edaan

pendapat*,H$pot+eses (pra-iraan*

sala+diper%ai-i

u&i co%a (pem%u-tian*data 9 ne) info

-no)ledge



iterati'e learning

process

::: :::

H$p+ot+esis (con&ecture, model, t+eor$*

5## (facts, p+enomena*

deduction deductioninduction

induction



SCIENI!IC"ESE#"CH

DEDUCTION :

reasoning from t+e general to t+e particular (or from cause to e;ect*

+e act of su%tracting (remo'ing a part from t+e )+ole*PENG<"#NG#N

INDUCTION0 reasoning from detailedfacts to general principles (I7B#S#N*



6earning Process as a!eed%ac- 6oop

H= replaces H>



examples 2c+emicalreactions4

?onse-uensi e-sperimenInfo a)al(pengalaman@pengeta+uan, referensi*

Belum ada 5ata



+asil e-sperimen AAA.

Hipotesistida-

ter%u-ti



lan&utan

Pengola+an Pen$a&ian data #nalisis ?esimpulan



Ater a series ups and downs, ailure

admitted andsuccess would be celebrated

Setelah menjalani perjuangan (berkali-kaliuji coba, hasil yang meleset dari dugaan),

maka kesalahan dapat diakui dengan yakin dan claim keberhasilan baru tepatuntuk dinyatakan dan kesuksesan baru

boleh dirayakan



!nowledge o strategy to proceed ane"ecti#e and efcient research$knowledge o statistical methods

The %ole oExperimental Design



5esign of experimental(5oE*

• is an ecient (statistical* procedure for planningexperiments so t+at t+e data o%tained can %eanal$/ed to $ield 'alid and o%&ecti'e conclusions.

58E %egins )it+0 determining t+e o%&ecti'es of an experiment selecting t+e process factors for t+e stud$.

#n &'perimental esign is t+e la$ing out of adetailed experimental plan in ad'ance of doingt+e experiment.

http://www.itl.nist.gov/div898/handbook/pri/section3/pri31.htm






S<7BE" ?ES<6I#N dalamPENE6II#N I67I#H



PER N DES IN EKSPERIMENT L



How to use statistical techniques

ind out much about the problem

*onsidering the nonstatistical knowledge

e+ne and aware to the objecti#es

earn rom each other (interplay between

theory and practice)



EE"CISE

Modul2 Statek-science Statistics

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