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© Buddy Freeman, 2015 H 0 : H 1 : α = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic: Decision: Conclusion: We have found ________________ evidence at the _____ level of significance that

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H 0 : H 1 : α = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic: Decision: Conclusion: We have found ________________ evidence at the _____ level of significance that. H 0 : H 1 : α = Decision Rule: If - PowerPoint PPT Presentation

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Page 1: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2015

H0:

H1:

α =

Decision Rule:

If

then do not reject H0, otherwise reject H0.

Test Statistic:

Decision:

Conclusion: We have found ________________ evidence at the _____ level of significance that

Page 2: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2015

H0:

H1:

α =

Decision Rule:

If

then do not reject H0, otherwise reject H0.

Test Statistic:

Decision:

Conclusion: We have found ________________ evidence at the _____ level of significance that

.05

.05

Page 3: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2015

H0:

H1:

α =

Decision Rule:

If

then do not reject H0, otherwise reject H0.

Test Statistic:

Decision:

Conclusion: We have found ________________ evidence at the _____ level of significance that the additive increases the number of miles per gallon.

.05

.05

μ1 > μ2

μ1 = μ2

With Without

Page 4: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2014

# of groups?

Parameter?

Can we make all

fe > 5?

Normalpopulations

?

Hartley’s Fmax *(not in text)

Resample and try again.

yes

no

yes

no

chi-squaredf = (R-1)(C-1)pp. 368-374

yes

no Kruskal-Wallis*pp. 621-625

1-way ANOVApp. 386-395ANOVA

OK?

meanor

median

proportion

varianceor

standard deviation

morethan

2

Parameter?

RelatedSamples

?

meanor

median

proportionvariance

orstandard deviation Normal

populations?

yes

no

Levine-Brown-Forsythe

F = S12/S2

2

pp. 344-354

Z for proportionspp. 322-328

yes

no unequal-variances t-testp. 307-315

pooled-variances t-testpp. 307-315

Wilcoxon Rank Sum*pp. 616-621

no

yesNormalpopulations

?

Normalpopulations

?

yes

noyes

non1 > 30

andn2 > 30

?

Z for means with σ1 & σ2 pp. 307-315

yes

no

σ1 and σ2

both known?

no

Normalpopulations

?

yes

noyes

at leastinterval

level data?

yes

noSign Test*pp. 631-634.

Wilcoxon Signed-Ranks*pp. 614-616

paired-difference t-testpp. 315-322

2

chi-square goodness-of-fit test pp. for the Multinomial Experiment 362-368and the Normal Distribution 374-376

2 Groups and > 2 Groups FlowchartSpearman Rank Correlation testpp. 625-630 1

2

3

4

5

7

8

9

10

11

12

13

14

15

yes

no

n1 > 30and

n2 > 30?

6

σ1 = σ2

?

Levine-Brown-Forsythe

Jaggiaand Kelly

(1st edition)

Default case

* means coverage is different from text.

Page 5: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2015

H0:

H1:

α =

Decision Rule:

If

then do not reject H0, otherwise reject H0.

Test Statistic:

Decision:

Conclusion: We have found ________________ evidence at the _____ level of significance that the additive increases the number of miles per gallon.

.05

.05

μ1 > μ2

μ1 = μ2

With Without

21

2

21212

1121

nnS

XXt

p

nn

Page 6: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2015

where

2

11

21

222

2112

nn

SnSnS p

Page 7: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2015

H0:

H1:

α =

Decision Rule:

If

then do not reject H0, otherwise reject H0.

Test Statistic:

Decision:

Conclusion: We have found ________________ evidence at the _____ level of significance that the additive increases the number of miles per gallon.

.05

.05

μ1 > μ2

μ1 = μ2

With Without

21

2

21212

1121

nnS

XXt

p

nn

Page 8: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2015

Reject H0.05Do not reject H0 Reject H0.05Do not reject H0

H0:

H1:

α =

Decision Rule:

If

then do not reject H0, otherwise reject H0.

Test Statistic:

Decision:

Conclusion: We have found ________________ evidence at the _____ level of significance that the additive increases the number of miles per gallon.

.05

.05

μ1 > μ2

μ1 = μ2

With Without

21

2

21212

1121

nnS

XXt

p

nn

t = 1.74590

df = n1 +n2 – 2 = 16

Page 9: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2015

Reject H0.05Do not reject H0 Reject H0.05Do not reject H0

H0:

H1:

α =

Decision Rule:

If tcomputed < 1.7459

then do not reject H0, otherwise reject H0.

Test Statistic:

Decision:

Conclusion: We have found ________________ evidence at the _____ level of significance that the additive increases the number of miles per gallon.

.05

.05

μ1 > μ2

μ1 = μ2

With Without

21

2

21212

1121

nnS

XXt

p

nn

t = 1.74590

df = n1 +n2 – 2 = 16

Page 10: H 0 : H 1 : α  = Decision Rule: If then do not reject H 0 , otherwise reject H 0 . Test Statistic:

© Buddy Freeman, 2015

8887.1

91

91

4391125.

016.2175.21

11

21

2

2121

221

nnS

XX

p

nnt

Reject H0.05Do not reject H0 Reject H0.05Do not reject H0

H0:

H1:

α =

Decision Rule:

If tcomputed < 1.7459

then do not reject H0, otherwise reject H0.

Test Statistic:

Decision:

Conclusion: We have found ________________ evidence at the _____ level of significance that the additive increases the number of miles per gallon.

.05

.05

μ1 > μ2

μ1 = μ2

With Without

t = 1.74590

df = n1 +n2 – 2 = 16

Reject H0.

sufficient

Reject H0