Question
I need help with this one: Three samples of each of three types of PVC pipe of equal wall thickness are tested to failure under
I need help with this one:
Three samples of each of three types of PVC pipe of equal wall thickness are tested to failure under three temperature conditions, yielding the results shown below. Research questions: Is mean burst strength affected by temperature and/or by pipe type? Is there a "best" brand of PVC pipe?
Burst Strength of PVC Pipes (psi)
Temperature PVC1 PVC2 PVC3
Hot (70 C) 250 301 235
273 285 260
281 275 279
Warm (40 C) 321 342 302
322 322 315
299 339 301
Cool (10 C) 358 375 328
363 355 336
341 354 342
Click here for the Excel Data File
(a-1) Choose the correct row-effect hypotheses.
a. H0: A1 A2 A3 0
Temperature means differ
H1: All the Aj are equal to zero
Temperature means are the same
b. H0: A1 = A2 = A3 = 0
Temperature means are the same
H1: Not all the Aj are equal to zero
Temperature means differ
multiple choice 1
a
b
(a-2) Choose the correct column-effect hypotheses.
a. H0: B1 B2 B3 0
PVC type means differ
H1: All the Bk are equal to zero
PVC type means are the same
b. H0: B1 = B2 = B3 = 0
PVC type means are the same
H1: Not all the Bk are equal to zero
PVC type means differ
multiple choice 2
a
b
(a-3) Choose the correct interaction-effect hypotheses.
a. H0: Not all the ABjk are equal to zero
there is an interaction effect
H1: All the ABjk are equal to zero
there is no interaction effect
b. H0: All the ABjk are equal to zero
there is no interaction effect
H1: Not all the ABjk are equal to zero
there is an interaction effect
multiple choice 3
a
b
(b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and F values to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.)
Table of Means
Factor 2 (PVC Type)
Factor 1 (Temperature) PVC1 PVC2 PVC3 Total
Hot (70 C)
Warm (40 C)
Cool (10 C)
Total
Two-Factor ANOVA with Replication
Source SS df MS F p-value
Factor 1 (Temperature)
Factor 2
(PVC Type)
Interaction
Error
Total
(c) Using = 0.05, choose the correct statement.
multiple choice 4
The main effects of temperature and PVC type are significant, but there is not a significant interaction effect.
The main effect of temperature is significant; however, there is no significant effect from PVC type or interaction between temperature and PVC type.
The main effect of PVC type is significant; however, there is no significant effect from temperature or interaction between temperature and PVC type.
(d) Perform Tukey multiple comparison tests. (Input the mean values within the input boxes of the first row and input boxes of the first column. Round your t-values and critical values to 2 decimal places and other answers to 1 decimal place.)
Post hoc analysis for Factor 1:
Tukey simultaneous comparison t-values (d.f. = 18)
Hot (70 C) Warm (40 C) Cool (10 C)
Hot (70 C)
Warm (40 C)
Cool (10 C)
Critical values for experimentwise error rate:
0.05
0.01
Post hoc analysis for Factor 2:
Tukey simultaneous comparison t-values (d.f. = 18)
PVC3 PVC1 PVC2
PVC3
PVC1
PVC2
Critical values for experimentwise error rate:
0.05
0.01
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