Table 2.

dT Quantile. | Accuracy. | z Score. | p. |
---|---|---|---|

0.324–0.334 | .49 | −0.85 | .4 |

0.334– 0.343 | .53 | −0.47 | .64 |

0.343–0.676 | .54 | 1.08 | .28 |

0.676–1.34 | .62 | 1.00 | .32 |

1.34–2.67 | .68 | 2.76 | .0058 |

2.67–8.33 | .83 | 3.33 | .0008 |

dT Quantile. | Accuracy. | z Score. | p. |
---|---|---|---|

0.324–0.334 | .49 | −0.85 | .4 |

0.334– 0.343 | .53 | −0.47 | .64 |

0.343–0.676 | .54 | 1.08 | .28 |

0.676–1.34 | .62 | 1.00 | .32 |

1.34–2.67 | .68 | 2.76 | .0058 |

2.67–8.33 | .83 | 3.33 | .0008 |

“dT quantile” refers to the interval differences (dT) between the two test frames and corresponds to one sixth of the data set; “accuracy” is the proportion correct for the quantile; “*z* score” is the test statistic for the effect of training session number on accuracy for the dT quantile; *p* value is the significance of the effect of training session number on accuracy for the dT quantile. The range of the dT quantiles increases by row due the fact that dT had an exponential distribution.

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