Θ | μ_{1} = μ_{2} | Sample size N | No. of samples | μ̂_{1} (mean ± SD)^{a} | μ̂_{2} (mean ± SD)^{a} | σ̂ (mean ± SD)^{a} | Type I error rate |
---|---|---|---|---|---|---|---|

Four-locus model | 160 | 100 | 10,000 | 160.01 ± 0.753 | 160.01 ± 0.676 | 4.936 ± 0.353 | 0.0496 |

Four-locus model | 160 | 1000 | 10,000 | 160.00 ± 0.237 | 160.00 ± 0.213 | 4.995 ± 0.112 | 0.0514 |

Six-locus model | 160 | 100 | 10,000 | 160.00 ± 0.822 | 159.99 ± 0.635 | 4.933 ± 0.352 | 0.0606 |

Six-locus model | 160 | 1000 | 10,000 | 160.00 ± 0.256 | 160.00 ± 0.201 | 4.994 ± 0.110 | 0.0541 |

↵

Mean ± SD of the estimates for parameters of the distribution of the quantitative phenotype obtained by the analysis.^{a}Each simulation was performed under the null hypothesis, μ

_{1}= 160, μ_{2}= 160, σ = 5, with*N*= 100 or 1000. Every simulation was repeated 10,000 times for each condition.