I decided to do my report using data set I found on StatCrunch. The data set I chose to summarize is titled Responses to Facebook Survey. The questionnaire asked respondents if they have a Facebook account, the average number of times a day they look at Facebook, the average number of times a week they change their status, their age, if they are a student, and their gender. For the purpose of my report I decided to focus on gender and the number of visits.
First of all, I decided to create a Bar Plot to graphically summarize my data. As it is shown in the following data females visited Facebook more often than males to in a day. The females have a calcuated frequency of 1594.32 and the males have 980.78. There is a 613.54 frequency in difference.

I also chose to include another Bar Plot with data to illustrate a bigger picture.

In additon, I created a Pie Chart to illustrate that Females visit facebook more often in a given day.

Next I included a Histogram, in the following graph the distrubution is skewed right, meaning that the mean is larger than the median. The boxplot and the relation between the mean and the median support this conclusion. It also means that the median is a good measure of central tendency.

Futhermore, the boxplot shown below is skewed right and there are a number of outliers. For males the outliers are as follows: 15, 15, 15, 15, 20, 20, 25, 25, 30, 50, 76, 100, 125. For females the outliers are: 25, 25, 25, 30, 30, 30, 30, 50, 50, 56, 60, 75, 100.

Next, looking at the data the mean of vists to facebook per day by females was 8.26; the median was 4. The standard deviation was 12.91; the interquartile range was 8 (the middle 50% of all visits by females).
Furthermore, the mean of visits to Facebook per day by males was 7.37; the median was 3. The standard deviation was 16.40; the interquartile range was 5.
Summary statistics for visits:
Group by: gender

Variable: visits for gender = Female Decimal point is 1 digit(s) to the right of the colon. 0 : 0000000000000000001111111111111111111111111222222222222222222222223333333333333333333333344444444444444 0 : 555555555555555555555556667778888 1 : 00000000000000000000023 1 : 5555555556 2 : 00000000000 2 : 555 3 : 000 High: 50, 50, 50, 56, 60, 75, 100 
Variable: visits for gender = Male Decimal point is 1 digit(s) to the right of the colon. 0 : 0000000000000000001111111111111111111111111122222222222222233333333333333344444444444 0 : 5555555555555667778889 1 : 000000000022 1 : 5555 2 : 00 High: 25, 25, 30, 50, 50, 76, 100, 125 
Sabina Skupien
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Feb 21, 2012
well done report.
Feb 17, 2012
This must have been a fun data to do! I like the pie graph better because you can tell how much more females use facebook than males. Jasmine Cerritos
Feb 17, 2012
This must have been a fun data to do! I like the pie graph better because you can tell how much more females use facebook than males. Jasmine Cerritos
Feb 17, 2012
I liked this data a lot since I'm addicted to Facebook. It's funny and true to see how females visit FB more than males do!!!
Giselle Velasco
Feb 17, 2012
I actually was going to do this same data! But good job on the data! The bar plot did have a lot going on, but i like how the pie chart really represented that females sure does use facebook way more than males.
_Lian Gaudiano
Feb 16, 2012
Interesting data set, it was really intriguing finding out that chicks go on Facebook more than guys, I already knew that they did, I just needed data to back it up. Your report is really easy to understand and overall you did a good job, the only problem I saw was that you misspelled following, in your second paragraph.
Feb 16, 2012
I think it's interesting to see that females visit facebook more than males. This is somethign that I have always suspected, considering females find the need to let eveybody know where they are and what they are doing at all times of the day.
Noor Nabi
Feb 16, 2012
I really liked this data set. It's funny because females use facebook so much, I am a fb addict. I liked the pie chart the best because it was easy to see the differences in data. The bar plot was also easy to read. The box plot was kind of tricky. Over all I liked this report.
Ali Henning
Feb 16, 2012
Very interesting data. I think the pie chart and the bar plot are very effect ways to present this data. Those two make it the easiest to see the difference between males and females.