You need to conduct a complete statistical project

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You need to conduct a complete statistical project.  I am including questions in each section that you will need to address.  

 

There is an old Punk Rock song that has this lyric: 

"You know most killing is committed at 90 degrees.
When it's too hot to breathe
And it's too hot to think." 

                   -The Boomtown Rats

I have often wondered if this is true and so this is the basis of your final project.     My Alternated Hypothesis is that "Most murders in the US are committed when the temperature is 90 degrees and above"  with the null hypothesis being that "Murders occur regardless of the temperature"   Your assignment is to write me a report proving or disproving this.   This is what I am looking for:

1.  Design the Experiment:  What is your sample data?  Where did you get this data?  What is your approach in designing this study?  Are you going to concentrate on cities? Rural areas?  Only on places where the temps routinely go to 90F?  What Bias is there in the data?   This must be real data.   I suggest you try FBI sites  for this data.  Also you can look on Murderpedia

2.  State the type of Hypothesis theory you will use? (Chi square?  T-testing Z- testing)  You need to justify why you chose this particular test for the data.  (Use Excel spreadsheet to solve this section) 

3.  How will you use ANOVA also?  (if you are going to compare different cities at different temps?  What about humidity or terrain?  

4.  Correlation does not prove Causation.  State to me why the approach you are doing takes this into account.  Show that you have dealt with this.  How do the other factors correlate with this data? 

5.  Run the experiment and show the data that you collected as to whether the null hypothesis is accepted or rejected.  

6. Come up with a conclusion telling me what you concluded.  Are there other factors that may play a roll?  Humidity for example?   

7.  Lie to me!!!  After you have made your conclusion.  I want you to set up an argument where you use statistics to prove the exact opposite to what you have found.  If you wanted to lie in statistics.. how would you do it in this particular problem?