# Need help on Basic UNIVERSITY Statistics.....

• Jan 15th 2010, 12:01 PM
clayfenderstrat
Need help on Basic UNIVERSITY Statistics.....
I have a couple of questions that I am not sure about.

1. A study attempts to examine whether watching a lot of television or playing a lot of video games will have a detrimental effect on a child's academic success at school and/or their success at sports. The experiment is conducted on the basis that the age of the child will be important in determining this effect but the gender of the child will not.

Select all the elements that are FACTORS of this experiment:
-age of the child
-gender of the child
-time spend reading books over a year
-time spent playing video games over a year
-success at sports
-time spent watching television over a year

I can eliminate a few, but some of them are kind of iffy........

2. A study investigated how the size of a person's dwelling was related to their ownership of motor vehicles. They found that dwelling size and number of vehicles owned was strongly correlated and concluded that living in a large house or apartment causes ownership of more motor vehicles. This is best described as an example of: confounding, common response, or a valid conclusion.

3. A government study is undertaken with the aim of determining the benefits of a new driver training scheme and whether it has a different outcome on over-25 year old learner drivers than for under-25 year old learner drivers. The training program is undertaken for a group of 80 learner drivers, half of which are under 25 years old, half are over 25 years old. Then within each group of 40, half are randomly selected to participate in the new training program. The results are recorded and compared. This scenario is best described as an example of:

-a randomized block design experiment
-a completely randomized design experiment
-a matched pairs experiment

Thanks in advance for the help!
• Jan 16th 2010, 10:18 AM
CaptainBlack
Quote:

Originally Posted by clayfenderstrat

2. A study investigated how the size of a person's dwelling was related to their ownership of motor vehicles. They found that dwelling size and number of vehicles owned was strongly correlated and concluded that living in a large house or apartment causes ownership of more motor vehicles. This is best described as an example of: confounding, common response, or a valid conclusion.

Common Response - they are both manifestations of the hidden variable "wealth"

CB