what is the p value? is the p-value low? can we conclude?

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what is the p value?

is the p-value low?

can we conclude?

SURVIVAL TIMES
Use the Excel output to write out the conclusions of the Two-way Anova F-test, and
use a 5% significance level.
Choose the options that will create the correct interaction conclusion.
The interaction P-value of 0.00000033314 is low , so we conclude that there is
significant interaction between the two categorical variables.
Answer 1:
0.00000033314
Answer 2:
low
Answer 3:
conclude
Transcribed Image Text:SURVIVAL TIMES Use the Excel output to write out the conclusions of the Two-way Anova F-test, and use a 5% significance level. Choose the options that will create the correct interaction conclusion. The interaction P-value of 0.00000033314 is low , so we conclude that there is significant interaction between the two categorical variables. Answer 1: 0.00000033314 Answer 2: low Answer 3: conclude
Data from "Statistics For Experimenters" by Box Hunter Hunter, 1978.
The data ". appear in a paper by Box and Cox (1964). These are survival times of
groups of four animals randomly allocated to three poisons and four treatments. The
experiment was part of an investigation to combat the effects of certain toxic agents.
This arrangement is called a 3 x 4 factorial design and is replicated four times."
The aim here is to see how the different poisons and medications affect survival
times. Survival time is measured in ten-hours.
Use the information provided below to answer the SURVIVAL TIMES questions that
follow.
Two wey Anove: SURVIVAL TIMES (DATA)
MEDICATIONS
Means
0.31
042
0.43
0.45
0.45
L1
0.45
0.71
0.6175
0.46
0.63
0.66
0.43
0.72
0.76
062
0.36
0.92
0.44
0.56
0.29
0.61
0.35
1.02
04
0.49
0.31
0.71
0.28
1.24
04
0.38
0.22
0.23
0.21
0.37
0.25
0.36
0.2763
0.18
0.38
0.24
0.31
0.23
0.29
0.22
0.33
Meana
0.3142
0.6767
0.5342
04794
Twoway Anova: SURVIVAL TIMES (EXCEL OUTPUT)
Anova Twe facter
SUMMARY
A
Tetal
Kount
Bum
165
3.52
2.27
2.44
verage
061
Narience
0.01273333
0.0436
Kount
Sum
267
Average
0375
as475
Nariance
Count
Sum
verage
134
4.42
021
Nariance
0.000
Total
Count
12
12
12
12
Bum
3.77
41
Average
0.5341667
Nariance
0.0415379
ANOVA
Seure of Veritien
Puale
Fet
Sample
3.2594460
2.
10OL2S
23.2216
3.34-07
Kolam
0.21202s
teraction
G.800725
36
0.02224236
hotal
3.005O125
SNOSIO4
Transcribed Image Text:Data from "Statistics For Experimenters" by Box Hunter Hunter, 1978. The data ". appear in a paper by Box and Cox (1964). These are survival times of groups of four animals randomly allocated to three poisons and four treatments. The experiment was part of an investigation to combat the effects of certain toxic agents. This arrangement is called a 3 x 4 factorial design and is replicated four times." The aim here is to see how the different poisons and medications affect survival times. Survival time is measured in ten-hours. Use the information provided below to answer the SURVIVAL TIMES questions that follow. Two wey Anove: SURVIVAL TIMES (DATA) MEDICATIONS Means 0.31 042 0.43 0.45 0.45 L1 0.45 0.71 0.6175 0.46 0.63 0.66 0.43 0.72 0.76 062 0.36 0.92 0.44 0.56 0.29 0.61 0.35 1.02 04 0.49 0.31 0.71 0.28 1.24 04 0.38 0.22 0.23 0.21 0.37 0.25 0.36 0.2763 0.18 0.38 0.24 0.31 0.23 0.29 0.22 0.33 Meana 0.3142 0.6767 0.5342 04794 Twoway Anova: SURVIVAL TIMES (EXCEL OUTPUT) Anova Twe facter SUMMARY A Tetal Kount Bum 165 3.52 2.27 2.44 verage 061 Narience 0.01273333 0.0436 Kount Sum 267 Average 0375 as475 Nariance Count Sum verage 134 4.42 021 Nariance 0.000 Total Count 12 12 12 12 Bum 3.77 41 Average 0.5341667 Nariance 0.0415379 ANOVA Seure of Veritien Puale Fet Sample 3.2594460 2. 10OL2S 23.2216 3.34-07 Kolam 0.21202s teraction G.800725 36 0.02224236 hotal 3.005O125 SNOSIO4
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