.Who usesTechnology more?

Weaknesses: One weakness of my study is non-response bias. The sampling size was 80, but only 74 could be completed since 6 people chose to not take the survey. A reason that these people chose not to take my survey is they probably did not have time when I asked them to take my survey since they were at the mall. Another weakness is when I did the Chi-Square test, some of the expected cell counts were under 5.

 Extrapolation: The results could be extrapolated to other North-Eastern suburban areas of Ohio since they have about the same demographics. These areas most likely have the same amount of technology. It would not be good for rural areas because access to technology would be harder to get.

Further Study: More sampling should be done in many different suburban areas to make the study less biased.  The population of an area will most likely have an effect on the amount of time a person spends on technology. 

The first Chi-Square test had a P-Value that was too high. Therefore, I could not conclude that the amount of time that males spend watching t.v. differs from the amount of time females spend watching t.v. The second Chi-Square test had a p-value of 0 and the null hypothesis was rejected. Therefore, I can conclude that the amount of time males and females spend playing video games differs. By looking at the data, it is clear that males spend more time playing video games than females. The last Chi-Square test had a P-value that was too high. Therefore, I could not conclude that the total time spent on electronics differs between males and females. Although there was insufficient evidence to conclude that the amount of time spent on technology between males and females differs, there is data that shows males spend more time playing video games than females.