Reduce Benchmark Times of stat_ops, particularly kendall correlation
ref #29165  the stat_ops benchmarks add a significant amount of time to the ASV runs. The "kendall" correlation method in particular takes over 10 seconds per run in some cases, and there are at least 4 occurrences of this. So for that method alone 40s across 4 runs per benchmark suite would be close to 3 minutes just for those benchmarks

There are a few others mixed in there as well that can be tuned. I think a .2 ms runtime would be ideal:

https://pandas.pydata.org/speed/pandas/#summarylist?sort=1&dir=desc

Of course making that method faster to be in line with the rest of the correlation methods is an option as well and this is mentioned by @dsaxton in #28329. Depending on how much effort that is might be OK to move the benchmark first and align back if ever improved