Solving a Confusing Word Problem: Measuring Justice After Court

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elove
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I have a word problem to solve and am thoroughly confused. any input would be great...

My younger brother had a run in earlier with Médecins Sans Frontières. He narrowly escaped from an adverse verdict by the court... What he wants is that he be left alone to run his small café...
He asked my oldest brother if he can conduct a survey for him about justice in the Kangaroo Court. Oooops, I mean the Canadian Court...
An initial survey was performed right after Médecins Sans Frontières accused my brother of wrong doing. Of 1852 customers, 53 were against the aggressive tactics of Médecins Sans Frontières. After my brother was cleared by the court, a follow-up survey was performed. Of 4699 customers, 1751 said they did not agree with the aggressive tactics of Médecins Sans Frontières.

At the 1% significance level, do the data suggest that a higher percentage of customers were against Médecins Sans Frontières after the court case?

View attachment 5559

Before court FOR Observed (O) = 1799
Before court FOR Expected (E) = 1342.7
Before court AGAINST O = 53
Before court AGAINST E = 509.3

After court FOR O = 2949
After court FOR E = 3406.775
After court AGAINST O = 1751
After court AGAINST E = 1292.225

View attachment 5560

DF = (r-1) (c-1) = 1
(1342.7 - 1799)2 / 1342.7 + (509.3 - 53)2 / 509.3 + (3406.775 - 2948)2 / 3406.775 + (1292.225 - 1751)2 / 1292.225 =
155.068 + 408.815 + 61.781 + 162.877 = 788.541am I even on the right track? where do i go from here?
 
Attachments
  • Table of observed and expected counts for opinion before and after court: Before court For 1799 (1342.7), Against 53 (509.3), total 1852; After court For 2948 (3406.775), Against 1751 (1292.225), total 4699; totals 4747 (.725) and 1804 (.275), grand total 6551.
    Screen Shot 2016-04-28 at 5.24.01 PM.png
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  • Handwritten-style chi-square formula: x² with subscript 1, equals sum of (E − O)² over E, equals 788.541.
    Screen Shot 2016-04-28 at 5.25.13 PM.png
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First step in hypothesis testing is to formulate the zero hypothesis $H_0$ and the alternative hypothesis. Once you have defined those I can further explain the core principle of the test and how to formulate a conclusion.