This thread describes an algorithm for predicting cutoffs. While the algorithm is well-defined, note that it’s not particularly logical. It looks at the concordance tables and the range it implies, and then picks the most optimistic value in the range. The only reason I do this is because it ends up with a cutoff that’s between the cutoffs implied by the percentile table and those implied by the concordance table. :shrug:
Anyway, here is the complete list of per-state cutoffs computed by this algorithm.
New cutoffs
Alabama: 207 (was 209)
Alaska: 205 (was 206)
Arizona: 211 (was 215)
California: 217 (was 223)
Colorado: 211 (was 215)
DC: 221 (was 225)
Delaware: 211 (was 216)
Florida: 210 (was 214)
Georgia: 212 (was 218)
Hawaii: 210 (was 214)
Idaho: 206 (was 208)
Illinois: 211 (was 215)
Indiana: 210 (was 213)
Iowa: 206 (was 208)
Kansas: 210 (was 213)
Kentucky: 208 (was 210)
Louisiana: 209 (was 211)
Maine: 209 (was 211)
Maryland: 216 (was 222)
Massachusetts: 217 (was 223)
Michigan: 208 (was 210)
Minnesota: 210 (was 214)
Mississippi: 207 (was 209)
Missouri: 207 (was 209)
Montana: 203 (was 204)
Nebraska: 207 (was 209)
Nevada: 209 (was 211)
New Hampshire: 210 (was 213)
New Jersey: 221 (was 225)
New Mexico: 206 (was 208)
New York: 213 (was 219)
North Carolina: 211 (was 215)
North Dakota: 202 (was 202)
Ohio: 211 (was 215)
Oklahoma: 206 (was 208)
Oregon: 211 (was 215)
Pennsylvania: 212 (was 217)
Rhode Island: 209 (was 212)
South Carolina: 209 (was 211)
South Dakota: 202 (was 202)
Tennessee: 209 (was 212)
Texas: 214 (was 220)
Utah: 205 (was 206)
Vermont: 210 (was 214)
Virginia: 216 (was 222)
Washington: 213 (was 219)
West Virginia: 202 (was 202)
Wisconsin: 206 (was 208)
Wyoming: 202 (was 202)