{"Above the other group's mean":"高于另一组的均值","Cohen's d":"Cohen's d","Cohen's d is the difference in means divided by the pooled standard deviation, so it says how big a difference is in units of spread, independent of sample size. Cohen's rough guide calls 0.2 small, 0.5 medium, and 0.8 large; what matters in practice depends on the field. Hedges' g removes the slight upward bias of d in small samples, and r expresses the same effect as a correlation.":"Cohen's d是均值差除以合并标准差，表示差异相当于多少个离散单位，与样本量无关。Cohen的粗略标准将0.2称为小效应，0.5称为中等效应，0.8称为大效应；实际意义取决于具体领域。Hedges' g消除了小样本中d略微偏高的偏差，而r则将同一效应表示为相关性。","Cohen's U3":"Cohen的U3","corrected for small samples":"已针对小样本校正","Correlation calculator":"相关性计算器","Correlation r":"相关性r","Degrees of freedom":"自由度","Degrees of freedom 1 (numerator)":"自由度1（分子）","Degrees of freedom 2 (denominator)":"自由度2（分母）","Distribution":"分布","Distribution overlap":"分布重叠","Effect size calculator":"效应量计算器","Enter a statistic of zero or more and both degrees of freedom.":"请输入不小于0的统计量，以及两个自由度。","Enter a statistic of zero or more and the degrees of freedom.":"请输入不小于0的统计量和自由度。","Enter both means, SDs above zero, and group sizes of at least 2.":"请输入两个均值、不小于0的SD，以及至少为2的组大小。","Enter the degrees of freedom.":"请输入自由度。","Enter the same number of X and Y values, at least three of each.":"请输入数量相同的X值和Y值，且每组至少有3个。","Enter the test statistic.":"请输入检验统计量。","F":"F","Fitted":"拟合值","for two normal distributions":"针对两个正态分布","Hedges' g":"Hedges' g","Intercept":"截距","large":"大","Least squares picks the line that makes the squared vertical distances from the points as small as possible: slope = Σ(x − x̄)(y − ȳ) ÷ Σ(x − x̄)², and the line passes through the means. R² is the share of Y's variation the line explains. Predictions outside the range of your X values are guesses, and a pattern in the residuals means a straight line is the wrong shape.":"最小二乘法选择一条直线，使各点到直线的垂直距离平方和尽可能小：斜率 = Σ(x − x̄)(y − ȳ) ÷ Σ(x − x̄)²，且直线经过均值点。R²表示该直线解释的Y变化所占的比例。超出X值范围的预测只是推测；残差呈现某种规律，说明直线不是合适的形状。","Left tail (less)":"左尾（较小）","Line of best fit":"最佳拟合线","Linear regression calculator":"线性回归计算器","Mean, group 1":"均值，第1组","Mean, group 2":"均值，第2组","medium":"中等","moderate":"中度","negligible":"可忽略","One of the lists has no variation, so the correlation is undefined.":"其中一个列表没有变化，因此相关性未定义。","p-value (right tail)":"p值（右尾）","P-value calculator":"P值计算器","Pairs":"配对值","Pearson's r":"Pearson的r","Pearson's r measures how close the points lie to a straight line, from −1 to +1; Spearman's ρ does the same on the ranks, so it catches any steadily rising or falling relation and resists outliers. The p-values test whether the correlation is zero, using the t distribution. A correlation, however strong, does not show that one thing causes the other.":"Pearson的r衡量各点接近直线的程度，取值范围为−1到+1；Spearman的ρ则对秩进行同样的衡量，因此能够识别持续上升或下降的关系，并且不易受异常值影响。p值使用t分布检验相关性是否为零。然而，无论相关性多强，都不能证明一件事导致了另一件事。","Pooled SD":"合并SD","Predict Y at X =":"预测X = 时的Y","Predicted Y at X = {0}":"预测X = {0}时的Y","Residual":"残差","Right tail (greater)":"右尾（较大）","Scatter plot":"散点图","Scatter plot with the fitted line":"带拟合线的散点图","SD, group 1":"SD，第1组","SD, group 2":"SD，第2组","SE {0}":"SE {0}","SE {0}, {1}":"SE {0}，{1}","share of the variation in Y explained":"Y变化中得到解释的比例","share of variance in common":"共同方差所占比例","Size, group 1":"大小，第1组","Size, group 2":"大小，第2组","Slope":"斜率","small":"小","Spearman's ρ":"Spearman的ρ","strong":"强","t (Student)":"t（Student）","Test statistic":"检验统计量","The p-value is the probability of a statistic at least this extreme if the null hypothesis were true. For z and t, the two-sided value counts both tails; use a one-sided value only if the direction was decided before seeing the data. χ² and F tests use the right tail. The distributions are computed in the browser and match statistical software to many decimal places.":"如果原假设成立，p值表示统计量达到当前或更极端程度的概率。对于z和t，双侧值会计算两个尾部；只有在查看数据前已确定方向时，才应使用单侧值。χ²和F检验使用右尾。这些分布在浏览器中计算，结果与统计软件在许多小数位上相符。","The X values are all the same, so no line can be fitted.":"X值全部相同，因此无法拟合直线。","Two-sided p":"双侧p值","very strong":"非常强","weak":"弱","X values":"X值","Y values, in the same order":"Y值，顺序相同","z (normal)":"z（正态）","χ² (chi-square)":"χ²（卡方）"}