A scientist wants to examine factors that may be related to cancer. The scientist believes that differences in age at death that will be found when determining what type of smoker a person was (pipe smoker, cigar smoker, cigarette smoker, or nonsmoker) but he also thinks it is important to consider the extent of smog in the person’s environment. For this new extended study, the people in the sample are divided up into those who lived in areas with heavy smog and those who lived in areas that were relatively free from smog. Smoking habit remains the other independent variable, and the dependent variable remains age at death. The new question of major interest to the scientist is whether the pattern of differences in age at death attributed to smoking habits would be influenced by whether people lived in smog-filled environments. What is the appropriate statistic? a. Dependent groups t-test b. Phi Coefficient c. Point Biserial r d. t-test for r > 0 e. Eta-squared f. Independent groups t-test g. One Sample t-test h. r-squared or r i. Cramer’s Phi j. Chi-square test k. Z-test L. Two factor ANOVA m. One Factor ANOVA
A scientist wants to examine factors that may be related to cancer. The scientist believes that differences in age at death that will be found when determining what type of smoker a person was (pipe smoker, cigar smoker, cigarette smoker, or nonsmoker) but he also thinks it is important to consider the extent of smog in the person’s environment. For this new extended study, the people in the sample are divided up into those who lived in areas with heavy smog and those who lived in areas that were relatively free from smog. Smoking habit remains the other independent variable, and the dependent variable remains age at death. The new question of major interest to the scientist is whether the pattern of differences in age at death attributed to smoking habits would be influenced by whether people lived in smog-filled environments. What is the appropriate statistic?
a. |
Dependent groups t-test |
|
b. |
Phi Coefficient |
|
c. |
Point Biserial r |
|
d. |
t-test for r > 0 |
|
e. |
Eta-squared |
|
f. |
Independent groups t-test |
|
g. |
One Sample t-test |
|
h. |
r-squared or r |
|
i. |
Cramer’s Phi |
|
j. |
Chi-square test |
|
k. |
Z-test |
|
L. |
Two factor ANOVA |
|
m. |
One Factor ANOVA |
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