In: Statistics and Probability
Frequency of individuals in 3 categories of smoking at baseline by age group.
Age Group |
Extent to Which People Smoke |
||
Non- Smoker |
Light- Smoker |
Heavy- Smoker |
|
30-39 |
302 |
186 |
58 |
40-49 |
684 |
367 |
565 |
50-59 |
812 |
230 |
319 |
Im having trouble determining the type of study design, correct variables and variable types, as well as correct predictor and outcome variables.
(1)
Type of Study: One Way Analysis of Variance (ANOVA) to find out whether there is significant difference between mean Extent to Which People Smoke among the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59 as follows:
H0: Null Hypothesis: (There is no significant difference between mean Extent to Which People Smoke among the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59)
HA: Alternative Hypothesis: (There is a significant difference between mean Extent to Which People Smoke among the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59)
(2)
Correct Variablues:
Independent Variable: the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59. Variable type: Categorical
Dependent Variable: Extent to Which People Smoke Variable type: Quantitative
(3)
Predictor Variable: the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59. Variable type: Categorical
Outcome Variable: Extent to Which People Smoke Variable type: Quantitative