hree 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 (70º C) 247 299 239 277 287 262 283 275 279 Warm (40º C) 325 341 297 322 319 315 296 335 304 Cool (10º C) 358 375 327 366 352 334 338 359 340
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 (70º C) | 247 | 299 | 239 |
277 | 287 | 262 | |
283 | 275 | 279 | |
Warm (40º C) | 325 | 341 | 297 |
322 | 319 | 315 | |
296 | 335 | 304 | |
Cool (10º C) | 358 | 375 | 327 |
366 | 352 | 334 | |
338 | 359 | 340 | |
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(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 |
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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 |
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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 |
-
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) |
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Factor 1 (Temperature) | PVC1 | PVC2 | PVC3 | Total |
Hot (70º C) | ||||
Warm (40º C) | ||||
Cool (10º 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 α = 0.05, choose the correct statement.
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The main effects of temperature and PVC type are significant, but there is not a significant interaction effect.
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The main effect of temperature is significant; however, there is no significant effect from PVC type or interaction between temperature and PVC type.
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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
Post hoc analysis for Factor 1:
Tukey simultaneous comparison t-values (d.f. = 18) |
||||
Hot (70º C) | Warm (40º C) | Cool (10º C) | ||
Hot (70º C) | ||||
Warm (40º C) | ||||
Cool (10º 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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