confidence improvement accuracy (*)   (**)  (***)
 arrays/var-int.js n=25000000 type='Array'                           0.14 %       ±0.30% ±0.40% ±0.52%
 arrays/var-int.js n=25000000 type='Buffer'                  **      0.25 %       ±0.15% ±0.20% ±0.26%
 arrays/var-int.js n=25000000 type='Float32Array'                   -0.56 %       ±1.06% ±1.41% ±1.84%
 arrays/var-int.js n=25000000 type='Float64Array'                   -0.02 %       ±0.61% ±0.81% ±1.06%
 arrays/var-int.js n=25000000 type='Int16Array'                      0.10 %       ±0.21% ±0.28% ±0.36%
 arrays/var-int.js n=25000000 type='Int32Array'                      0.28 %       ±0.90% ±1.20% ±1.56%
 arrays/var-int.js n=25000000 type='Int8Array'                      -0.05 %       ±0.21% ±0.29% ±0.37%
 arrays/var-int.js n=25000000 type='Uint16Array'                     0.13 %       ±0.28% ±0.38% ±0.49%
 arrays/var-int.js n=25000000 type='Uint32Array'                    -0.17 %       ±0.94% ±1.26% ±1.64%
 arrays/var-int.js n=25000000 type='Uint8Array'                      0.10 %       ±0.23% ±0.30% ±0.40%
 arrays/zero-float.js n=25000000 type='Array'                        0.05 %       ±0.38% ±0.51% ±0.66%
 arrays/zero-float.js n=25000000 type='Buffer'                       0.16 %       ±0.24% ±0.32% ±0.42%
 arrays/zero-float.js n=25000000 type='Float32Array'                 0.39 %       ±0.71% ±0.95% ±1.24%
 arrays/zero-float.js n=25000000 type='Float64Array'                -0.07 %       ±0.57% ±0.76% ±0.99%
 arrays/zero-float.js n=25000000 type='Int16Array'                   0.02 %       ±0.27% ±0.36% ±0.47%
 arrays/zero-float.js n=25000000 type='Int32Array'                  -0.13 %       ±0.51% ±0.68% ±0.88%
 arrays/zero-float.js n=25000000 type='Int8Array'                   -0.03 %       ±0.28% ±0.37% ±0.48%
 arrays/zero-float.js n=25000000 type='Uint16Array'                  0.01 %       ±0.24% ±0.31% ±0.41%
 arrays/zero-float.js n=25000000 type='Uint32Array'                 -0.32 %       ±0.82% ±1.10% ±1.43%
 arrays/zero-float.js n=25000000 type='Uint8Array'                   0.14 %       ±0.31% ±0.41% ±0.53%
 arrays/zero-int.js n=25000000 type='Array'                          0.38 %       ±0.64% ±0.85% ±1.11%
 arrays/zero-int.js n=25000000 type='Buffer'                        -0.33 %       ±1.21% ±1.62% ±2.11%
 arrays/zero-int.js n=25000000 type='Float32Array'                   0.91 %       ±1.51% ±2.02% ±2.65%
 arrays/zero-int.js n=25000000 type='Float64Array'                   0.10 %       ±0.94% ±1.25% ±1.64%
 arrays/zero-int.js n=25000000 type='Int16Array'                     0.65 %       ±1.39% ±1.86% ±2.43%
 arrays/zero-int.js n=25000000 type='Int32Array'                    -0.16 %       ±2.02% ±2.69% ±3.52%
 arrays/zero-int.js n=25000000 type='Int8Array'                      0.22 %       ±1.33% ±1.77% ±2.31%
 arrays/zero-int.js n=25000000 type='Uint16Array'                    0.55 %       ±1.36% ±1.81% ±2.37%
 arrays/zero-int.js n=25000000 type='Uint32Array'                    0.62 %       ±1.60% ±2.14% ±2.80%
 arrays/zero-int.js n=25000000 type='Uint8Array'                     0.57 %       ±1.40% ±1.87% ±2.44%

Be aware that when doing many comparisons the risk of a false-positive
result increases. In this case there are 30 comparisons, you can thus
expect the following amount of false-positive results:
  1.50 false positives, when considering a   5% risk acceptance (*, **, ***),
  0.30 false positives, when considering a   1% risk acceptance (**, ***),
  0.03 false positives, when considering a 0.1% risk acceptance (***)