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Transcript of 007 Confidence Interval
7/23/2019 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
Z
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