2. At the 5% significance level, can you conclude that the mean nighttime viewing distance is different among the he O Yes, since the p value associated with headlight design is less than significance level. O Yes, since the pvalue associated with headlight design is greater than significance level. O No, since the p-value associated with headlight design is less than significance level. O No, since the p-value associated with headlight design is greater than significance level.

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a-2. At the 5% significance level, can you conclude that the mean nighttime viewing distance is different among the headlight designs?
O Yes, since the p-value associated with headlight design is less than significance level.
O Yes, since the p-value associated with headlight design is greater than significance level.
O No, since the p value associated with headlight design is less than significance level.
O No, since the p-value associated with headlight design is greater than significance level.
0-3. Practically speaking, what does your conclusion imply?
Practically, this implies that
headlight design (of the three designs tested) is superior.
b. At the 5% significance level, was including the blocking variable Driver Age beneficial to this experiment?
O Yes, since it is significant at the 5% level.
O Yes, since it is not significant at the 5% level.
O No, since it is significant at the 5% level.
O No, since it is not significant at the 5% level.
Transcribed Image Text:a-2. At the 5% significance level, can you conclude that the mean nighttime viewing distance is different among the headlight designs? O Yes, since the p-value associated with headlight design is less than significance level. O Yes, since the p-value associated with headlight design is greater than significance level. O No, since the p value associated with headlight design is less than significance level. O No, since the p-value associated with headlight design is greater than significance level. 0-3. Practically speaking, what does your conclusion imply? Practically, this implies that headlight design (of the three designs tested) is superior. b. At the 5% significance level, was including the blocking variable Driver Age beneficial to this experiment? O Yes, since it is significant at the 5% level. O Yes, since it is not significant at the 5% level. O No, since it is significant at the 5% level. O No, since it is not significant at the 5% level.
An automotive parts manufacturer is testing three potential halogen headlight designs, one of which ultimately will be promoted as
providing best-in-class nighttime vision. The distance at which a traffic sign can be read in otherwise total darkness is the variable of
interest. Since older drivers often have lower visual acuity, driver age must be controlled in this experiment. The following results (in
feet) were obtained from sampling 12 drivers (four age groups for each headlight design).
Driver Age
(Factor B)
Below 30
Headlight. Design (Factor A)
Design 2
268
Design 3
270
Design 1
293
30-45
254
243
254
46-59
224
249
231
60-up
238
214
205
Click here for the Excel Data File
a-1. Construct an ANOVA table. (Round intermediate calculations to at least 4 decimal places. Round "SS", "MS", "p-value" to 4
decimal places and "P' to 3 decimal places.)
ANOVA
SS
df
MS
p-value
Source of Variation
Rows
Columns
Error
Total
Transcribed Image Text:An automotive parts manufacturer is testing three potential halogen headlight designs, one of which ultimately will be promoted as providing best-in-class nighttime vision. The distance at which a traffic sign can be read in otherwise total darkness is the variable of interest. Since older drivers often have lower visual acuity, driver age must be controlled in this experiment. The following results (in feet) were obtained from sampling 12 drivers (four age groups for each headlight design). Driver Age (Factor B) Below 30 Headlight. Design (Factor A) Design 2 268 Design 3 270 Design 1 293 30-45 254 243 254 46-59 224 249 231 60-up 238 214 205 Click here for the Excel Data File a-1. Construct an ANOVA table. (Round intermediate calculations to at least 4 decimal places. Round "SS", "MS", "p-value" to 4 decimal places and "P' to 3 decimal places.) ANOVA SS df MS p-value Source of Variation Rows Columns Error Total
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