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data-driven
college admission predictions






Comparing Cornell University with University of California, Berkeley

For methodology, please see the bottom of the page. If the results are in color, then the difference is statistically significant at a 95% confidence level.

Cornell University


chosen by
50%

95% confidence interval: 36.6% to 63.4%.

University of California, Berkeley


chosen by
50%

95% confidence interval: 36.6% to 63.4%.



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Methodology

This is a "revealed preference" tool. For each school's percentage, the denominator includes all members who were admitted to both of these schools. The numerator includes those students who chose a given school. In other words, students who were admitted to both schools reveal their preference for one over the other by attending that school. To test for statistical significance at the 95% level, Wilson's method is employed.

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