SUMMARY
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Groups
|
Count
|
Sum
|
Mean
|
Variance
|
Median
|
GPM Trump Win
|
30
|
100.7513
|
3.358377
|
2.8295
|
2.93
|
GPM Trump 2nd
|
10
|
24.96011
|
2.496011
|
2.192278
|
2.32
|
GPM Trump 3rd
|
3
|
28.87097
|
9.623656
|
220.6705
|
1.09
|
There is a higher mean in the 30 states where he finished first (3.36 groups/million) than in the 10 states where he finished 2nd (2.50 groups/million). When I look at the three states where he finished 3rd (DC, Minnesota, and Utah), it has a higher mean than the first two groups. This is because DC has by far the highest number of hate groups per million residents at 26.78 groups/million it skewed the mean for the states where he finished 3rd (Minnesota and Utah had values of 1.09 and 1.00 groups/million. The median in this case is a better indicator of state differences in this case. The differences is smaller in this post than in the previous post because in the primaries since the last post Trump has had less competition than he did previously so he has won more. If DC is excluded, the states where Trump didn't win are grouped together, and a one tailed t-test is used, there are significantly more hate groups in the states where Trump won. Trump does have white supremacists among his convention delegates for Cleveland.
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Nazi Soldiers are in this image Trump Posted on Twitter |
Groups Per Million,
Sanders win
|
Groups Per Million,
Clinton win
|
|
Mean
|
2.47
|
3.44
|
Median
|
2.42
|
3.06
|
Variance
|
2.45
|
2.98
|
Observations
|
19
|
23
|
Pooled Variance
|
2.74
|
|
Hypothesized Mean Difference
|
0
|
|
df
|
40
|
|
t Stat
|
-1.88
|
|
P(T<=t) one-tail
|
0.03
|
|
t Critical one-tail
|
1.68
|
|
P(T<=t) two-tail
|
0.07
|
|
t Critical two-tail
|
2.02
|