1. WHO MAKES THE INTERNET SO POPULAR?
Culminating Project
Marge Inoverror

2. What I wanted to find:
Gain a better understanding how and why the Internet is used.
Determine the reasons why some households are not using the Internet.
Determine the reasons why some households are using the Internet.
Categorize whom in specific uses the Internet more frequently. (Gender, age, education, income, race, etc.)

3. Important Findings

4. Educational Attainment

5. Household Types

6. Job status?

7. Single Variable Analysis

8. Graphical Representation

9. OUTLIERS?

10. Single Variable Conclusion
The majority of the countries have 10% of their population with internet access.
Higher percentages like 60% were the United States, United Kingdom, etc.
Developing Countries vs. Industrialized Countries

11. Double Variable Analysis

12. Is there a trend between population & the countries internet access?
Exploring further…
Is there a trend between population & the countries internet access?

13. A Definite Trend
All of these countries (22) had an internet use per capita
Below .1 (Under 10%)
-Over population & more poverty

14. Over .25 (25%)
-All of these countries (23) had a per capita of over .25%.
-Canada (4th point)

15. In order to access the internet…
You need a computer!

16. GDP & Internet Use per Capita

17. How do most people connect?

18. More $$$, More Access

19. DISTRIBUTIONS

20. Age Vs. Internet Access

21. More Distributions:
Asians and Hispanics had the highest amount of Internet use from the ages of

22. Whites have the most percentage users over the age of 35.

23. Percentage of Visitors- Male Or Female?

24. Checks:
Must have an “S” shape

25. Both male & female form a straight line
A Normal Quartile Plot shows the distribution continuous (numeric) data. It plots the z-scores associated with the percentile of each case if the data were normally distributed. Therefore, if the data are Normal, the plot should show a straight line
Both male & female form a straight line

26. One, Two, Three Standard deviations away…
Male
1 std-dev: 69%
2 std-dev: 96%
3 std-dev: 100%
Females
1 std-dev: 67%
2 std-dev: 96%
3 std-dev: 100%
Therefore both data sets represent the normal distribution.

27. CONCLUDING FINDINGS
Who makes the internet popular? What are some characteristics?
High education level
Family Households (2-4 people)
Employed
High GDP (Industrialized Countries)

28. Let’s be precise… Computer access= internet access
Higher family incomes
Ages: 30-50
Young Asians & Hispanics
Older Whites
Males- only slightly more than females

29. THANK-YOU!