007 Confidence Interval

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Transcript of 007 Confidence Interval

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© 2002 Prentice-Hall, Inc. Chap 8-1

Basic Business Statistics(8th Edition

Chapter 8

Con!dence Inter"alEsti#ation

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© 2001 Prentice-Hall, Inc.Chap 8-2

Esti#ation Process

Mean, , isunknown

Population $ando#Sa#ple

MeanX = 50

Sample

I am 95%

confident that

is between 40& 0!

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© 2001 Prentice-Hall, Inc.Chap 8-%

Point Esti#ates

Esti#atePopulation

Para#eters &

'ith SampleStatistics

ean

Proportion

)ariance

*i+erence

 µ 

 p

2σ 

1 2 µ µ −

 X 

S  P 

2S 

1 2 X X −

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© 2001 Prentice-Hall, Inc.Chap 8-

Interval EstimateInterval Estimatess

Pro"ides rane o "alues  /aes into consideration "ariation in sa#ple

statistics ro# sa#ple to sa#ple Is ased on oser"ation ro# one sa#ple

i"es inor#ation aout closeness to unno'npopulation para#eters

Is stated in ter#s o le"el o con!dence 3e"er 1004 certain

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© 2001 Prentice-Hall, Inc.Chap 8-5

Con!dence Inter"alEsti#ates

Mean

σ Unknown

Confidence

Intervals

Proportion

σ  Known

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© 2001 Prentice-Hall, Inc.Chap 8-6

Con!dence Inter"al or( 7no'n

ssu#ptionsssu#ptions

Population standard de"iation is no'nPopulation standard de"iation is no'n

Population is nor#all9 distriutedPopulation is nor#all9 distriuted

I population is not nor#al, use lare sa#pleI population is not nor#al, use lare sa#ple

Con!dence inter"al esti#ate

 

 µ σ 

/ 2 / 2 X Z X Z 

n nα α 

σ σ  µ − ≤ ≤ +

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Chap 8-:

;e"el o Con!dence;e"el o Con!dence

*enoted 9

relati"e re<uenc9 interpretation

In the lon run, o all thecon!dence inter"als that can e constructed'ill contain the unno'n para#eter

speci!c inter"al 'ill either contain or notcontain the para#eter

3o proailit9 in"ol"ed in a speci!c inter"al

( )100 1 %α −

( )100 1 %α −

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Inter"al and ;e"el oCon!dence

 Confdence Interval s 

Inter"als

e=tend

ro#

to

 

o inter"alsconstructedcontain >

donot.

 _ Sa#plin *istriution o the ean

 X  X Z σ −

 X σ 

/ 2α / 2α 

 X  X 

 µ µ =

1   α −

 X  X Z σ +

( )1 100%α −

 µ 

100 %α 

/ 2   X  Z 

α  µ σ +/ 2   X 

 Z α 

 µ σ −

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@actors +ectinInter"al Aidth (Precision

*ata "ariation easured 9

Sa#ple sie  

;e"el o con!dence  

Inte"#als $tend f"om

© 1984-1994 T/Maker Co.

 X  - Z σ

  to  X  + Z  σ

 

σ 

 X n

σ σ    =

( )100 1 %α −

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*eter#inin Sa#ple Sie (Cost

Too Big:

 $e<uirestoo #an9

resources

Toosmall:

 AonDtdo the o

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*eter#inin Sa#ple Sie or ean*eter#inin Sa#ple Sie or ean

Ahat sa#ple sie is needed to e ?04 con!dent

o ein correct 'ithin F 5G pilot stud9

suested that the standard de"iation is 5.

$ound p

( )2 22 2

2 2

1.645 45219.2 220

Error 5

 Z n

  σ = = = ≅

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ssu#ptions Population standard de"iation is unno'n

Population is nor#all9 distriuted I population is not nor#al, use lare sa#ple

se studentDs t   distriution

Con!dence inter"al esti#ate  

Con!dence Inter"al or( nno'n

 µ 

σ 

/ 2, 1 / 2, 1n n

S S  X t X t 

n nα α 

 µ − −

− ≤ ≤ +

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StudentDs t  *istriution

t 0

t (df  = 5)

 t (df  = 1)ell'ShapedS(mmet"ic

)*atte"+

ails

Standa"d

-o"mal

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*erees o @reedo# (*erees o @reedo# (df df  

Number of observations that are free to varyNumber of observations that are free to vary

after sample mean has been calculatedafter sample mean has been calculated

E=a#ple ean o % nu#ers is 2

de."ees of f"eedom= n '/

= '/

= 1

1

2

3

1 (or any number)2 (or any number)

3 (cannot vary)

 X  X 

 X 

=

=

=

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StudentDs t   /ale

Upper !ail "rea

df    .25 .10 #$5

1   1.000 3.078 6.314

%  0.817 1.886

%#&%$

3   0.765 1.638 2.353

t $ %#&%$

t  Values

et! n " 3

#$ " n  1 " 2

α " .10  α/2 ".05

   ' % = #$5

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E=a#ple

/ 2, 1 / 2, 1

& &50 2.0639 50 2.063925 25

46.69 53.30

n n

S S  X t X t 

n nα α 

 µ 

 µ 

 µ 

− −− ≤ ≤ +

− ≤ ≤ +

≤ ≤

' ran#om samle o$ 25 as 50 an# &.

*et u a 95% con$+#ence +nterval est+mate $or

n X S 

 µ 

= = =

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Con!dence Inter"alCon!dence Inter"al

Esti#ate or ProportionEsti#ate or Proportion

ssu#ptions  /'o cateorical outco#es

Population ollo's ino#ial distriution

3or#al appro=i#ation can e used i 

  and

Con!dence inter"al esti#ate  

5np  ≥   ( )1 5n p− ≥

( ) ( )/ 2 / 2

1 1S S S S

S S 

 p p p p p Z p p Z 

n nα α 

− −− ≤ ≤ +

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Chap 8-18

E=a#pleE=a#ple

rando# sa#ple o 00 "oters sho'ed %2

preerred candidate . Set up a ?54

con!dence inter"al esti#ate or p.

( ) ( )

( ) ( )

/ /

1 1

.0& 1 .0& .0& 1 .0&.0& 1.96 .0& 1.96400 400

.053 .10,

 s s s s

 s s

 p p p p p Z p p Z 

n n

 p

 p

α α 2 2

− −− ≤ ≤ +

− −− ≤ ≤ +

≤ ≤

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Chap 8-1?

*eter#inin Sa#ple Sie or

Proportion

Jut o a population o 1,000, 'e rando#l9

selected 100, o 'hich %0 'ere deecti"e.

Ahat sa#ple sie is needed to e 'ithin

F 54 'ith ?04 con!denceG

$ound

( ) ( ) ( )2 2

2 2

1 1.645 0.3 0.,

Error 0.05

22,.3 22&

 Z p p

n

−= =

= ≅

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Chap 8-20

Condence Interval for Population TotalCondence Interval for Population Total

 Amount  Amount 

Point esti#ate  

Con!dence inter"al esti#ate

 

 NX 

( )   ( )( )

/ 2, 11

n N nS  NX N t  N n

α    −−±−

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Chap 8-21

Con!dence Inter"al or Population /otalCon!dence Inter"al or Population /otal

E=a#pleE=a#ple

n auditor is aced 'ith apopulation o 1000"ouchers and 'ants toesti#ate the total "alue

o the population. sa#ple o 50 "ouchers isselected 'ith a"erae"oucher a#ount o

K10:6.%?, standardde"iation o K2:%.62.Set up the ?54con!dence inter"alesti#ate o the total

a#ount or the

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Chap 8 22

E=a#ple SolutionE=a#ple Solution

( )  ( )

( )

( ) ( ) ( ) ( )

/ 2, 1

1000 50 -106.39 -23.62

1

23.62 1000 501000 106.39 1000 2.0096

1000 1100

1,06,390 5,&30.&5

n

 N n X S 

 N nS  NX N t 

 N nα    −

= = = =

−±

−= ±

= ±

 /he ?54 con!dence inter"al or the populationtotal a#ount o the "ouchers is et'een1,000,55?.15, and 1,152,220.85