3. Select 100 random people Our friends in our network, our parent’s network, and friend’s networks Collect data based on people’s statuses Compare Males vs. Females Compare Young vs. Old Young= ages up to 10 Old= 30+ Compare statuses Relationship Song lyrics What they’re doing Reflections Other

4. Facebook is a social networking website launched in February 2004 Facebook was founded by Mark Zuckerberg with his college roommates and fellow computer science students Eduardo Saverin, Dustin Moskovitz and Chris Hughes The website's membership was initially limited by the founders to Harvard students, but was expanded to other colleges in the Boston area, the Ivy League, and Stanford University It later expanded further to include (potentially) any university student, then high school students, and, finally, to anyone aged 13 and over The website currently has more than 400 million active users worldwide Entertainment Weekly put it on its end-of-the-decade 'best-of' list, saying, "How on earth did we stalk our exes, remember our co- workers' birthdays, bug our friends, and play a rousing game of Scrabulous before Facebook?"

5. Who wastes the most time on facebook updating statuses Males or Females? What age demographic updates the most? Young or Old? What is the most common theme of statuses? Relationship, Song Lyrics, What they’re doing, Reflection, Other?

6. Time frame The people who we check If people update a status, then delete it Human error People may lie about age

7. Both female and male graphs are right skewed The center for both is around 1 Females- min: 0 max:8 Males- min:0 max:4 Females have a greater number of status updates, the most for females is 8 and most for males is 4. But they have the same center which means that 8 might be an outlier.

8. State 2 independent SRS 2 normal pop Or N1 and N2 > 30 Check Calc random int N1 and N2 > 30

9. Sample count of Gender = Female: 59 Sample count of Gender = Male: 42 Alternative hypothesis: The population mean of total where Gender = Female is not equal to that where Gender = Male The test statistic, Student's t, using unpooled variances, is 1.809. There are 98.8309 degrees of freedom. If it were true that the population mean of total where Gender = Female were equal to that of total where Gender = Male (the null hypothesis), and the sampling process were performed repeatedly, the probability of getting a value for Student's t with an absolute value this great or greater would be 0.073.

10. Ho: m = f Ha:< mf

11. Based on our statistics Females updated their statuses more frequently than males did. Pvalue: P(t>1.809|df=98.8309)=.073 We fail to reject our Ho because our Pvaule is greater than α=.05 We have sufficient evidence that the difference between the means of Male and Female facebook status updates is greater than 0.

12. Both graphs are right skewed The center for old is around 2 and the center for young is around 3 Old: min- 0 max- 4 Young: min-0 max- 8 ½ Based on these graphs the majority of people young or old post no statuses. But it is clear to see that younger people update more frequently than older people.

13. Sample count of Age = Old: 39 Sample count of Age = Young: 62 Sample mean of total where Age = Old: 0.487179 Alternative hypothesis: The population mean of total where Age = Old is not equal to that where Age = Young The test statistic, Student's t, using unpooled variances, is -5.846. There are 97.7689 degrees of freedom. If it were true that the population mean of total where Age = Old were equal to that of total where Age = Young (the null hypothesis), and the sampling process were performed repeatedly, the probability of getting a value for Student's t with an absolute value this great or greater would be < 0.0001.

14. Ho: o = y Ha: o < y

15. State 2 independent SRS 2 normal pop Or N1 and N2 > 30 Check Calc random int N1 and N2 > 30

16. It is more common for older people to not update their status at all as opposed to younger people. Also younger people have a great range showing that they update more times that older people. Pvalue: P(t>-5.846|97.7689)=.0001 We reject out Ho because our Pvaule is less than α=.05 We have sufficient evidence that the difference between the means of Young and Old peoples facebook status updates is greater than 0.

18. Chi Squared Test Assumptions: 2 independent variables All exp counts greater than 5 Check: Random int. in calc checked

19. Chi-Square

20. Conclusions We fail to refect HO because p-value is less then.05

21. Young people, especially teenagers update their status more frequently than older people The most common status update is “What you’re doing” Females are more likely to update their statuses than males Just because you have a Facebook does not mean you have to update your status every second Some people have never touched their status

22. It was annoying going through a 100 people’s status No one really cares what you are doing, so all the status updates are not necessary Teenagers will most likely grow out of the updating phase because older people don’t update as much