DATOSMINITABPARAEJERCICIOS
Transcript of DATOSMINITABPARAEJERCICIOS
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Minitab Tool
ANOVA - Test for Equal Variances
ANOVA- Analysis of Means (binomial)
ANOVA- Analysis of Means (normal)
ANOVA- Analysis of Means (Poisson)
ANOVA- Analysis of Means (two-factor design)
ANOVA- Analysis of Means (unbalanced one-factor design)ANOVA- alanced ANOVA! mi"ed model
ANOVA- alanced ANOVA! two crossed factors
ANOVA- alanced ANOVA! re#eated measures design
ANOVA- alanced MANOVA
ANOVA- $ully Nested ANOVA
ANOVA- %eneral &inear Model to 't linear and quadratic eects
ANOVA- %eneral &inear Model and multi#le com#arisons wit an unbalanced nested design
ANOVA- %eneral MANOVA
ANOVA- *nteraction Plot! wit more tan two factors
ANOVA- *nteraction Plot! wit two factorsANOVA- *nter+al Plot! multi#le y,s- sim#le
ANOVA- *nter+al Plot! multi#le y,s- wit grou#s
ANOVA- *nter+al Plot! one y- sim#le
ANOVA- *nter+al Plot! one y- wit grou#s
ANOVA- Main Eects Plot
ANOVA- One-ay ANOVA
ANOVA- One-ay ANOVA (.nstac/ed)
ANOVA- Test for Equal Variances
ANOVA- Two-ay ANOVA
asic 0tatistics- 1 Varianceasic 0tatistics- 1-0am#le Poisson 2ate
asic 0tatistics- 1-0am#le t
asic 0tatistics- 1-0am#le 3
asic 0tatistics- 4 Variances
asic 0tatistics- 4-0am#le Poisson 2ate
asic 0tatistics- 4-0am#le t
asic 0tatistics- 5orrelation
asic 0tatistics- 5orrelation! #artial correlation
asic 0tatistics- 5o+ariance
asic 0tatistics- 6is#lay 6escri#ti+e 0tatistics
asic 0tatistics- %oodness-of-$it Test for Poisson
asic 0tatistics- %ra#ical 0ummary
asic 0tatistics- Normality Test
asic 0tatistics- Paired t
5ontrol 5arts- Attributes 5art- 5 5art
5ontrol 5arts- Attributes 5art- NP 5art
5ontrol 5arts- Attributes 5art- P 5art
5ontrol 5arts- Attributes 5art- . 5art
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5ontrol 5arts- o"-5o" Transformation
5ontrol 5arts- Multi+ariate- %enerali7ed Variance 5art
5ontrol 5arts- Multi+ariate- Multi+ariate EMA 5art
5ontrol 5arts- Multi+ariate- T-0quared 5art
5ontrol 5arts- Multi+ariate- T-0quared- %enerali7ed Variance 5art
5ontrol 5arts- Time-eigted 5arts- 5.0.M 5art
5ontrol 5arts- Time-eigted 5arts- EMA 5art5ontrol 5arts- Time-eigted 5arts- Mo+ing A+erage 5art
5ontrol 5arts- Variables 5arts for *ndi+iduals- *-M2 5art
5ontrol 5arts- Variables 5arts for *ndi+iduals- *ndi+iduals 5art! istorical cart
5ontrol 5arts- Variables 5arts for *ndi+iduals- *ndi+iduals 5art! wit tests
5ontrol 5arts- Variables 5arts for *ndi+iduals- Mo+ing 2ange 5art
5ontrol 5arts- Variables 5arts for *ndi+iduals- 3-M2 5art
5ontrol 5arts- Variables 5arts for 0ubgrou#s- *-M2-280 (etween-itin)
5ontrol 5arts- Variables 5arts for 0ubgrou#s- 2 5art
5ontrol 5arts- Variables 5arts for 0ubgrou#s- 9bar 2 5art
5ontrol 5arts- Variables 5arts for 0ubgrou#s- 9bar 0 5art5ontrol 5arts- Variables 5arts for 0ubgrou#s- 9bar 5art
5ontrol 5arts- Variables 5arts for 0ubgrou#s- 3one 5art
5ontrol 5arts- Variables 5arts for 0ubgrou#s-0 5art
6OE- $actorial- Analy7e $actorial 6esign (4-le+el design and Plac/ett-urman)
6OE- $actorial- Analy7e $actorial 6esign- 6efault Mode! full factorial wit re#licates and bloc/s
6OE- $actorial- Analy7e $actorial 6esign- 6efault Mode! s#lit #lot design
6OE- $actorial- Analy7e $actorial 6esign (%eneral $ull $actorial)
6OE- $actorial- Analy7e Variability
6OE- $actorial- 5ontour80urface Plots
6OE-$actorial- E+aluate 6esign6OE-$actorial- $actorial Plots! 5ube Plot
6OE- $actorial- $actorial Plots! *nteraction Plot
6OE- $actorial- $actorial Plots! Main Eects Plots
6OE- $actorial- O+erlaid 5ontour Plot
6OE- $actorial- Plot $actorial 6esign
6OE- $actorial- Pre#rocess 2es#onse for Analy7e Variability
6OE- $actorial- 0elect O#timal 6esign! selecting 6-o#timal factorial design
6OE- Mi"ture- Analy7e Mi"ture 6esign
6OE- Mi"ture- 5ontour80urface Plot
6OE- Mi"ture- 5reate Mi"ture 6esign- ase design! sim#le" design #lot
6OE- Mi"ture- Plot Mi"ture 6esign (factorial #lots)
6OE- Mi"ture- Plot Mi"ture 6esign (0im#le" 6esign Plot! 2es#onse Trace Plot)
6OE- Mi"ture- 2e#onse Trace Plot
6OE- 2es#onse O#timi7ation for $actorial 6esign
6OE- 2es#onse O#timi7ation for Mi"ture 6esign
6OE- 2es#onse O#timi7ation- O+erlaid 5ontour Plot for $actorial 6esigns
6OE- 2es#onse O#timi7ation- O+erlaid 5ontour Plot for Mi"ture 6esign
6OE- 2es#onse O#timi7ation- O+erlaid 5ontour Plot for 2es#onse 0urface 6esign
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6OE- 2es#onse O#timi7ation- 2es#onse 0urface 6esign
6OE- 2es#onse 0urface- Analy7e 2es#onse 0urface 6esign! 'tting a quadratic model
6OE- 2es#onse 0urface- Plot 2es#onse 0urface 6esign
6OE- 0elect O#timal 6esign
6OE- 0elect O#timal 6esign- Augment8*m#ro+e 6esign! augmenting a 6-o#timal design
6OE- Taguci- Analy7e a 6ynamic Taguci 6esign
6OE- Taguci- Analy7e a 0tatic Taguci 6esign6OE- Taguci- Predict Taguci 2esults
E6A- o"#lot- &etter Values
E6A- o"#lot- Median Polis
E6A- o"#lot- Multi#le :,s- sim#le
E6A- o"#lot- Multi#le :,s- wit grou#s
E6A- o"#lot- One :-sim#le
E6A- o"#lot- One :- wit grou#s
E6A- o"#lot- 2ootogram
%ra#s- ;6 %ra# Mani#ulation! ;6 surface #lot
%ra#s- ;6 %ra# Mani#ulation! ;6 wireframe #lot%ra#s- ;6 0catter#lot! sim#le
%ra#s- ;6 0catter#lot! wit grou#s
%ra#s- ;6 0urface Plot
%ra#s- ;6 0urface Plot! ;6 wireframe #lot
%ra#s- Area %ra#
%ra#s- Area %ra#! using custom start times
%ra#s- Area %ra#! using a stam# for te "-a"is
%ra#s- ar 5art- ar Order! 5umulati+e of Percent 0cale! 0tac/ Order! wit cumulati+e scale
%ra#s- ar 5art- 5ounts of .nique Values! cluster
%ra#s- ar 5art- 5ounts of .nique Values! sim#le
%ra#s- ar 5art- 5ounts of .nique Values! stac/
%ra#s- ar 5art- $unction of a Variable- Multi#le y,s! cluster
%ra#s- ar 5art- $unction of a Variable- Multi#le y,s! sim#le
%ra#s- ar 5art- $unction of a Variable- Multi#le y,s! stac/
%ra#s- ar 5art- $unction of a Variable- One :! cluster
%ra#s- ar 5art- $unction of a Variable- One :! sim#le
%ra#s- ar 5art- $unction of a Variable- One :! stac/
%ra#s- ar 5art- One 5olumn of Values! cluster
%ra#s- ar 5art- One 5olumn of Values! sim#le
%ra#s- ar 5art- One 5olumn of Values! stac/
%ra#s- ar 5art- Two-ay Table! cluster
%ra#s- ar 5art- Two-ay Table! stac/
%ra#s- o"#lot! multi#le y,s- wit grou#s
%ra#s- o"#lot! multi#le y,s- sim#le
%ra#s- o"#lot! one y- sim#le
%ra#s- o"#lot! one y- wit grou#s
%ra#s- ar 5art- ar Order! 5umulati+e of Percent 0cale! 0tac/ Order! wit cumulati+e or #eorder
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%ra#s- 5ontour Plot
%ra#s- 6ot#lot! one y-sim#le
%ra#s- 6ot#lot! one y- wit grou#s
%ra#s- 6ot#lot! one y- stac/ grou#s
%ra#s- 6ot#lot! multi#le y,s- sim#le
%ra#s- 6ot#lot! multi#le y,s- stac/ y,s
%ra#s- 6ot#lot! multi#le y,s- wit grou#s%ra#s- 6ot#lot! multi#le y,s- stac/ grou#s
%ra#s- E56$- multi#le o+erlaid
%ra#s- E56$- single
%ra#s-
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%ra#s- 0catter#lot! sim#le
%ra#s- 0catter#lot! wit regression and grou#s
%ra#s- 0catter#lot! wit regression line
%ra#s- 0tem-and-&eaf Plot
%ra#s- Time 0cale! custom start times
%ra#s- Time 0cale! stam# for te "-a"is
%ra#s- Time 0eries Plot- 0im#le! it %rou#s! sim#le%ra#s- Time 0eries Plot- 0im#le! it %rou#s! wit grou#s
%ra#s-Time 0eries Plot- Multi#le! it %rou#s! multi#le
%ra#s- Time 0eries Plot- Multi#le! it %rou#s! multi#le wit grou#s
%ra#s- Time 0eries Plot- Time 0cale! stam# for te "-a"is
%ra#s- Time 0eries Plot- Time 0cale! custom start times
Multi+ariate- 5luster > Means
Multi+ariate- 5luster Obser+ations
Multi+ariate- 5luster Variables
Multi+ariate- 6iscriminant Analysis
Multi+ariate- $actor Analysis! using ma"imum li/elioodMulti+ariate- $actor Analysis! using #rinci#al com#onents
Multi+ariate- *tem Analysis
Multi+ariate- Princi#al 5om#onents Analysis
Multi+ariate- Multi#le 5orres#ondence Analysis
Multi+ariate- 0im#le 5orres#ondence Analysis
Non#arametrics- $riedman Test
Non#arametrics- >rus/al-allis
Non#arametrics- Mann-itney
Non#arametrics- Mood,s Median
Non#arametrics- One-0am#le 0ign! con'dence inter+alNon#arametrics- One-0am#le 0ign! test of median
Non#arametrics- One-0am#le ilco"on! con'dence inter+al
Non#arametrics- One-0am#le ilco"on! test of median
Non#arametrics- 2uns Test
?uality Planning Tools- 5ause and Eect 6iagram
?uality Planning Tools- Multi-Vari 5art
?uality Planning Tools- Pareto 5art
?uality Planning Tools- 2un 5art
?uality Planning Tools- 0ymmetry Plot
?uality Tools- Acce#tance 0am#ling by Variables- Acce#t82e@ect
?uality Tools- Attribute Agreement Analysis
?uality Tools- Attribute %age 0tudy (Analytic Metod)
?uality Tools- 5a#ability Analysis etween-itin
?uality Tools- 5a#ability Analysis- inomial
?uality Tools- 5a#ability Analysis- o" 5o"
?uality Tools- 5a#ability Analysis- Multi#le Variables (Nonnormal)
?uality Tools- 5a#ability Analysis- Multi#le Variables (Normal)
?uality Tools- 5a#ability Analysis- Normal
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?uality Tools- 5a#ability Analysis- Poisson
?uality Tools- 5a#ability for Nonnormal data
?uality Tools- 5a#ability 0i"#ac/- etween8itin
?uality Tools- 5a#ability 0i"#ac/- o" 5o"
?uality Tools- 5a#ability 0i"#ac/ for Nonnormal data
?uality Tools- 5a#ability 0i"#ac/- Normal
?uality Tools- %age- %age 2un 5art?uality Tools- %age &inearity and ias 0tudy
?uality Tools- %age 22 0tudy (5rossed)
?uality Tools- %age 22 0tudy (E"#anded)
?uality Tools- %age 22 0tudy (Nested)
?uality Tools- %age- Ty#e 1 %age 0tudy
?uality Tools- *ndi+idual 6istribution *denti'cation
?uality Tools- Bonson Transformation
?uality Tools- M0A- Attribute Agreement Analysis
?uality Tools- M0A- Attribute %age 0tudy (Analytic Metod)
?uality Tools- M0A- 5rossed %age 22 0tudy! ANOVA Metod?uality Tools- M0A- 5rossed %age 22 0tudy! 9bar and 2 Metod
?uality Tools-M0A- E"#anded %age 22 0tudy
?uality Tools- M0A- %age &inearity and ias 0tudy
?uality Tools- M0A- %age 2un 5art
?uality Tools- M0A- Nested %age 22 0tudy
?uality Tools- M0A- Ty#e 1 %age 0tudy
?uality Tools- Tolerance *nter+als
2egression- est 0ubsets 2egression
2egression- inary &ogistic 2egression
2egression- $itted &ine Plot2egression- %eneral 2egression
2egression- Nominal &ogistic 2egression
2egression- Nonlinear 2egression
2egression- Ordinal &ogistic 2egression
2egression- Ortogonal 2egression
2egression- Partial &east 0quares 2egression
2egression- 2egression! multi#le regression
2egression- 2egression! sim#le regression
2egression- 0te#wise 2egression
2eliability- Accelerated &ife Testing
2eliability- 6istribution *6 Plot (Arbitrary 5ensoring)
2eliability- 6istribution *6 Plot (2igt 5ensoring)
2eliability- 6istribution O+er+iew Plot (Arbitrary 5ensoring)
2eliability- 6istribution O+er+iew Plot (2igt 5ensoring)
2eliability- Non#arametric 6istribution Analysis (Arbitrary censoring) Multi#le $ailure Mode
2eliability- Non#arametric 6istribution Analysis (Arbitrary censoring) 0ingle $ailure Mode
2eliability- Non#arametric 6istribution Analysis (2igt censoring) Multi#le $ailure Mode
2eliability- Non#arametric 6istribution Analysis (2igt censoring) 0ingle $ailure Mode
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2eliability- Non#arametric %rowt 5ur+e
2eliability- Parametric 6istribution Analysis (Arbitrary censoring) Multi#le $ailure Mode
2eliability- Parametric 6istribution Analysis (Arbitrary censoring) 0ingle $ailure Mode
2eliability- Parametric 6istribution Analysis (2igt censoring) Multi#le $ailure Mode
2eliability- Parametric 6istribution Analysis (2igt censoring) 0ingle $ailure Mode
2eliability- Parametric %rowt 5ur+e
2eliability- Probit Analysis2eliability- 2egression wit &ife 6ata
2eliability- arranty Analysis
Tables- 5i-0quare %oodness-of-$it Test (One Variable)
Tables- 5i-0quare Test (Two-ay Table)
Tables- 5ross Tabulation and 5i-0quare! 5i-0quare Analysis
Tables- 5ross Tabulation and 5i-0quare! canging table layout
Tables- 5ross Tabulation and 5i-0quare! cross tabulation wit missing data
Tables- 5ross Tabulation and 5i-0quare! cross tabulation wit tests and measures of associati
Tables- 5ross Tabulation and 5i-0quare! cross tabulation wit tree categorical +ariables
Tables- 6escri#ti+e 0tatistics! descri#ti+e stats wit missing dataTables- 6escri#ti+e 0tatistics! dis#laying data
Tables- 6escri#ti+e 0tatistics! tables wit additional statistical summaries
Tables- 6escri#ti+e 0tatistics! table wit categorical and associated +ariable summary
Tables- Tally *ndi+idual Variables
Time 0eries- A2*MA
Time 0eries- Autocorrelation
Time 0eries- 5ross 5orrelation
Time 0eries- 6ecom#osition
Time 0eries- 6ouble E"#onential 0mooting
Time 0eries- Mo+ing A+erageTime 0eries- Partial Autocorrelation
Time 0eries- 0ingle E"#onential 0mooting
Time 0eries- Time 0eries Plot! multi#le
Time 0eries- Time 0eries Plot! multi#le wit grou#s
Time 0eries- Time 0eries Plot! sim#le
Time 0eries- Time 0eries Plot! wit grou#s
Time 0eries- Trend Analysis
Time 0eries- inters, Metod
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StatGuide Data Set Name Help Data Set Name
6ri+ing=MT E"CAOV=MT
eld=MT E"CAOV=MT
E"CAOV=MT
Pac/ing=MT Toys=MT
6ri+ing=MT
ineTaste=MTE"CAOV=MT
$iber=MT E"CAOV=MT
E"CAOV=MT
Te"tile=MT E"CMVA2=MT
%unPowder=MT $urnTem#=MT
Professor=MT E"CAOV=MT
E"CAOV=MT
6oor&oc/=MT
Plywood
Plywood=MT E"CAOV=MTPi#e=MT
Pi#e=MT
ineBudge=MT 5ar#et=MT
5ar#et=MT
Alfalfa=MT! 6ri+ing=MT Alfalfa=MT
Paint
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0olarEnergy=MT o"5o"=MT
Plastic0eets=MT
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TireManufacturer4=MT
5atalytic2eaction=MT 556CE"1=MT
5leaning=MT! 2eaction=MT
TireManufacturer=MT O#tides=MT
O#tides4=MT
0ensor=MT
asil=MT %olfall=MTasil4=MT %olfall4=MT
Pulse=MT
E"C0tat=MT
Pi#e=MT
Pi#e=MT
5ar#et=MT
5ar#et=MT
Pulse=MT
2eeat=MT
2eeat=MTrin/les=MT 2eeat=MT
2eeat=MT
$isiomass=MT 2eeat=MT
2eeat=MT
5ardiacPatient=MT Em#loy=MT
E"C%r#=MT
NewMar/et=MT
NewMar/et=MT
NewMar/et=MT
E"C?5=MT
Pi77a=MT E"C?5=MT
E"C?5=MT
Pi#e=MT
Pi#e=MT
Tires=MT
E"CAOV=MT
E"CAOV=MT
Tires=MT
Tires=MT
Tires=MT
Tires=MT
Tires=MT
Tires=MT
Pi#e=MT
Pi#e=MT
Paint
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$isiomass=MT 2eeat=MT
5alcium=MT 5a#=MT
5amsaft4=MT
5amsaft4=MT
Pi#e=MT
Pi#e=MT
Pi#e=MTPi#e=MT
Aluminum=MT $lamertd=MT
$lamertd=MT
Potato5i#=MT 5a#=MT
5a#=MT
5amsaft=MT
5amsaft=MT
Pi#e=MT
Pi#e=MT
Plant=MT illiard=MTilliard=MT
Pi#e=MT
Pi#e=MT
Plywood=MT 5ar#et=MT
5ar#et=MT
$iber=MT Pi#ediam=MT
Octane=MT
Octane=MT
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M*=MT atteries=MT
atteries=MT
atteries=MT
Memory5i#=MT
E"C%r#=MT
NewMar/et=MT
Patient=MT NewMar/et=MTA50ales=MT
0arePrice=MT
Energy5ost=MT
NewMar/et=MT
E"C%r#=MT
Manufacturing=MT ears=MT
0#orts=MT 5ereal=MT
5ollege=MT Peru=MT
Education=MT E"CMVA2=MT
Bob=MT E"CMVA2=MTE"CMVA2=MT
5ustomer=MT 5ronbac=MT
&oanA##licant=MT E"CMVA2=MT
E"CTA&=MT
E"CTA&=MT
Ad+ertising=MT E"C0tat=MT
eds=MT E"C0tat=MT
0tri#es=MT E"C0tat=MT
$iseigts=MT 5artoon=MT
0tainless0teel=MT E"C0tat=MTE"C0tat=MT
Antacid=MT E"C0tat=MT
E"C0tat=MT
Treatment=MT E"C0tat=MT
2ide=MT 0urface$laws=MT
$ertili7er=MT 0inter=MT
5loting6efect=MT E"C?5=MT
0olarEnergy=MT 2adon=MT
5erealo"=MT E"C?5=MT
5amera=MT Pi#e0am#le=MT
5otton=MT! 5alico=MT
&engt=MT
$ilm=MT 5a#a=MT
.na+ailable=MT P5a#a=MT
Tiles=MT
Pellet=MT MN5a#a=MT
Pins=MT Mca#a=MT
Piston=MT 5able=MT
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5ylinder=MT Train=MT
aterPum#=MT
MuGer=MT Tireear=MT
6iswaser=MT 5ircuit=MT
*ron5ord=MT 2elaible=MT
Air5onditioning=MT V0eat=MT
indsield=MT &igtulb=MTBet=MT *nsulate=MT
Airag=MT 5om#ressor=MT
0oe=MT Poll=MT
.mbrella=MT E"CTabl=MT
E"CTabl=MT
E"CTabl=MT
Eye5olor=MT
E"CTabl=MT
Politics=MT E"CTabl=MT
Eye5olor=MT6e#artment=MT Pulse1=MT
E"CTabl=MT
E"CTabl=MT
aste=MT E"CTabl=MT
Toot#aste=MT Em#loy=MT
Toot#aste0ales=MT Em#loy=MT
0ediment=MT
Equi#ment=MT
5om#uter0ales=MT Em#loy=MT
Em#loyment=MT Em#loy=MTToot#aste=MT Em#loy=MT
Em#loyment=MT Em#loy=MT
0arePrice=MT
Patient=MT Energy5ost=MT
NewMar/et=MT
A50ales=MT
0#ortEqui#ment=MT Em#loy=MT
ater.sage=MT Em#loy=MT