Happiness Data Analysis

With our collected data, we are now in the stage of our investigation where we are attempting to determine our findings.  

In class, we considered some BIG QUESTIONS that we felt would be interesting to find out.  This will be an ongoing list, but as of now includes the following:

• Which demographics of students have found the most happiness?
  
• What factors can contribute to happiness from the elements we used in creating our pursuits?
  
• What was the relative effectiveness in factors that contributed to happiness?
  
• What % of the class was happy for having done the pursuit?
  
• What are things that can prevent happiness or pursuing happiness?
  
• What is the most effective element in pursuing happiness?
  
• How does engagement relate to happiness?
  
• Does happiness differ by gender?
  

We then looked at the information that we have collected, which includes:

• Study group demographics - 10th graders, gender, morning/afternoon class
  
• Happiness levels for having done the pursuit
  
• Engagement levels
  
• Categorical ratings for happiness
  
• Individual ratings
  
• Preventative information (things that prevented engagement)
  

With this information, we can dig through our data and analyze it to see what we find. 

The analysis can take three types of approaches:

1. A big question can be chosen to answer and the data that is relevant can be analyzed. (Ex. What factors are most effective in achieving happiness?)
   
2. A question can be considered given the information we have and then the relevant data can be analyzed. (Ex. Is there a difference between the entire team and genders?)
   
3. A random comparison can be made to see what the results are.  (Ex.  What happens when I compare individual ratings and engagement level?)
   

**WHAT IS DUE BY TUESDAY APRIL 29th:  

One printed page with the following:

1. The question or analysis that was performed.
   
2. A graph of the results.
   
3. An interpretation of the results - What can be concluded?