Deck 25: Analysis of Experiments and Observational Studies

Question 1

Quality control engineers fire tiles made with a new material at three different temperature settings (1500ºF, 1800ºF and 2200ºF) and for four different times (2 hours, 6 hours, 10 hours and 12 hours) to determine the optimal parameter settings for firing that will result in tiles with high flexural strength.The number of treatments in this experiment is ________________________ .

A)15
B)12
C)7
D)4
E)3

Answer 1

12

Question 2

An advocacy group is interested in determining if gender (1 = Female, 2 = Male) affects executive level salaries in three different industries: (1 = Consumer Goods,
2 = Financial, 3 = Health Care).The number of treatments in this example is ________________________ .

A)2
B)3
C)5
D)6
E)9

Answer 2

6

Question 3

Based on the partial ANOVA results shown below, the F statistic value is ________________________ .

A)F = 23.27
B)F = 2.215
C)F = 27.57
D)F = 7.999
E)None of the above.

Answer 3

F = 23.27

Question 4

In ANOVA, the Bonferroni method is used to ________________________ .

A)adjust for unequal variances between the treatment groups
B)adjust for multiple comparisons between pairs of treatment groups
C)adjust for non-Normal data within the treatment groups
D)adjust for small sample sizes within the treatment group
E)None of these.

Question 5

A health food company is examining three different blanching processes to determine which is best in terms of vitamin A retention (mg/100mg) for dark green vegetable material.The response variable is ________________________ .

A)blanching process
B)dark green vegetable material
C)vitamin A retention
D)blanching time
E)food products

Question 6

The plot of ANOVA residuals shown below indicates that the ________________________ .

A)nearly normal condition is satisfied
B)randomization condition is satisfied
C)similar variance condition is satisfied
D)linearity condition is satisfied
E)All of the above.

Question 7

Data obtained from a survey of online customers were analyzed to see if gender and income level influence the amount consumers spend online for holiday shopping.The interaction plot shown below suggests that ________________________

A)consumers in the highest income level spend the most online for holiday shopping
B)females spend more online for holiday shopping than males
C)males spend more online for holiday shopping than females except for those in the highest income level
D)females spend more online for holiday shopping than males except for those in the highest income level
E)None of the above.

Question 8

Based on the partial ANOVA results shown below, the F statistic value is ________________________ .

A)F = 35.16
B)F = 2.604
C)F = 48.7
D)F = 1.385
E)None of the above

Question 9

Quality control engineers fire tiles made with this new material at three different temperature settings (1500ºF, 1800ºF and 2200ºF) and for four different times (2 hours, 6 hours, 10 hours and 12 hours) to determine the optimal parameter settings for firing that will result in tiles with high flexural strength.The response variable in this experiment is ________________________ .

A)flexural strength
B)firing time
C)firing temperature
D)the new material
E)tiles