Question: using the 'videogame' data in the statslab website solve the following investigations The objective of this lab is to investigate the responses of the participants

using the 'videogame' data in the statslab website solve the following investigations

The objective of this lab is to investigate the responses of the participants in the

study with the intention of providing useful information about the students to the

designers of the new computer labs.

Begin by providing an estimate for the fraction of students who played a video

game in the week prior to the survey. Provide an interval estimate as well as a

point estimate for this proportion.

Check to see how the amount of time spent playing video games in the week

prior to the survey compares to the reported frequency of play (i.e., daily,

weekly, etc.). How might the fact that there was an exam in the week prior to

the survey affect your previous estimates and this comparison?

Consider making an interval estimate for the average amount of time spent

playing video games in the week prior to the survey. Keep in mind the overall

shape of the sample distribution. A simulation study may help determine the

appropriateness of an interval estimate.

Next consider the "attitude" questions. In general, do you think the students

enjoy playing video games? If you had to make a short list of the most important

reasons why students like (or dislike) video games, what would you put on the

list? Don't forget that those students who say that they have never played a

video game or do not at all like to play video games are asked to skip over some

of these questions. So, there may be many nonresponses to the questions as to2. Who Plays Video Games?

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whether they think video games are educational, where they play video games,

etc.

Look for differences between those who like to play video games and those

who do not. To do this, use the questions in the last part of the survey, and

make comparisons between male and female students, those who work for pay

and those who do not, those who own a computer and those who do not, or

those who expect A's in the class and those who do not. Graphical displays and

cross-tabulations are particularly helpful in making these kinds of comparisons.

Also, you may want to collapse the range of responses to a question down to

two or three possibilities before making these comparisons.

Just for fun, further investigate the grade that students expect in the course.

How well does it match the target distribution used in grade assignment of 20%

As, 30% Bs, 40% Cs, and 10% D or lower? If the nonrespondents were failing

students who no longer bothered to come to the discussion section, would this

change the picture?

Summarize your findings in a memo to the committee in charge of designing

the new computer labs.

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