Null Hypothesis:
The total percent of the labor force that is unemployed in the countries that revolted is equal to the percent of the total labor force that is unemployed of all the other countries in the Middle East from 1980 to 2010.
Alternative Hypothesis:
The total percent of the labor force that is unemployed in the countries that revolted not is equal to the the percent of the total labor force that is unemployed of all the other countries in the Middle East from 1980 to 2010.

Method of Data Analysis: 2-Sample T-Test
Conditions
It can be assumed that the measure of unemployment in the two groups (revolted and others in Middle East) are independent of each other and in each group, the individual country's inflation is independent. Each country's measure of unemployment was compared individually to every other country.
The distribution for average unemployment rates from 1980-2010 is approximatley normal.
degrees of freedom:n-1
number of years assesed=30
df=29

Significance level: t=.05
Significance level in context: I would fail to reject the null hypothesis that the measure of unemployment for countries that revolted is equal to the measure of unemployment for the rest of the middle east if the probability for this situation occuring is %5 or greater.

Conclusion:
unemployment_conclusion.png
How to interpret this picture:
For example: There is an 83% probability that the percent of unemployment in Egypt, a country that experienced mass protests against its government, is equal to the unemployment of Kuwait, therefore I would fail to reject the null hypothesis that the average rates of unemployment over the past 30 years are equal.

For all other associations not shown, the probability that their unemployment rates from 1980-2010 are equal is less than %5, therefore I would reject the null hypothesis that the average rates of unemployment over the past 30 years are equal.
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