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Null Hypothesis:The 1980-2010 average total percent of the labor force that is unemployed in each individual country that revolted is equal to the the percent of the total labor force that is unemployed of all the other countries in the Middle East that protested in the past year.

Alternative Hypothesis:The 1980-2010 average total percent of the labor force that is unemployed in each individual country that revolted is not equal to the the percent of the total labor force that is unemployed of all the other countries in the Middle East that protested in the past year

Method of Data Analysis: 2-Sample T-TestConditions

It can be assumed that the measure of unemployment in each country are independent of each other. 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 inflation among countries that revolted is equal to the measure of inflation for all other countries that also experienced mass protests if the probability for this situation occuring is %5 or greater.

Conclusion:

How to interpret this picture: (*no data availible)

For example, the probability that unemployment rates as percentage of total labor force were in Iran were equal to that of Syria is 30%, therefore I would fail to reject the null hypothesis that the two samples are equal.

- What's interesting: no significant difference between countries that revolted and countries that are in the Middle East in terms of unemployment rate :)

For all countries that had data availible, there was a greater than 10% probability that the unemployment rates were equal among the countries that revolted, therefore in all instances, I would fail to reject the null hypothesis.