{"Above the other group's mean":"高於另一組的平均數","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是平均數差除以合併標準差，表示差異相對於分散程度的大小，不受樣本數影響。Cohen的粗略判準將0.2稱為小、0.5稱為中等、0.8稱為大；實務上的重要程度取決於研究領域。Hedges' g會消除小樣本中d略微偏高的偏誤，而r則以相關係數表示相同的效果。","Cohen's U3":"Cohen's U3","corrected for small samples":"已針對小樣本校正","Correlation calculator":"相關係數計算機","Correlation r":"相關係數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":"分布重疊程度","Effect size calculator":"效果量計算機","Enter a statistic of zero or more and both degrees of freedom.":"輸入0以上的統計量，以及兩個自由度。","Enter a statistic of zero or more and the degrees of freedom.":"輸入0以上的統計量，以及自由度。","Enter both means, SDs above zero, and group sizes of at least 2.":"輸入兩組平均數、皆大於0的SD，以及至少為2的組別樣本數。","Enter the degrees of freedom.":"輸入自由度。","Enter the same number of X and Y values, at least three of each.":"輸入數量相同的X與Y值，每組至少3個。","Enter the test statistic.":"輸入檢定統計量。","F":"F","Fitted":"配適值","for two normal distributions":"適用於兩個常態分布","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.":"最小平方法會選出讓各點到直線的垂直距離平方總和最小的直線：斜率=Σ(x−x̄)(y−ȳ)÷Σ(x−x̄)²，而且直線會通過平均數。R²是直線能解釋的Y變異比例。超出X值範圍的預測只是推測，而殘差呈現規律則表示直線不是正確的形狀。","Left tail (less)":"左尾（較小）","Line of best fit":"最佳配適線","Linear regression calculator":"線性迴歸計算機","Mean, group 1":"平均數，第1組","Mean, group 2":"平均數，第2組","medium":"中等","moderate":"中度","negligible":"可忽略","One of the lists has no variation, so the correlation is undefined.":"其中一個數列沒有變異，因此相關係數未定義。","p-value (right tail)":"p值（右尾）","P-value calculator":"P值計算機","Pairs":"配對","Pearson's r":"Pearson's 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's r衡量各點接近直線的程度，範圍從−1到+1；Spearman's ρ則對排名進行相同衡量，因此能捕捉持續上升或下降的關係，也較不受離群值影響。p值使用t分布檢定相關係數是否為0。不論相關性多強，都不能證明一件事會造成另一件事。","Pooled SD":"合併SD","Predict Y at X =":"預測X=時的Y","Predicted Y at X = {0}":"預測X={0}時的Y","Residual":"殘差","Right tail (greater)":"右尾（較大）","Scatter plot":"散佈圖","Scatter plot with the fitted line":"含配適線的散佈圖","SD, group 1":"SD，第1組","SD, group 2":"SD，第2組","SE {0}":"SE {0}","SE {0}, {1}":"SE {0}、{1}","share of the variation in Y explained":"Y變異的可解釋比例","share of variance in common":"共同變異比例","Size, group 1":"樣本數，第1組","Size, group 2":"樣本數，第2組","Slope":"斜率","small":"小","Spearman's ρ":"Spearman's ρ","strong":"強","t (Student)":"t（Student）","Test statistic":"檢定統計量","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.":"如果虛無假設為真，p值是統計量至少達到此極端程度的機率。對z和t而言，雙尾值會計入兩個尾端；只有在查看資料前已決定方向時，才使用單尾值。χ²和F檢定使用右尾。這些分布會在瀏覽器中計算，結果與統計軟體相符，可精確到許多小數位。","The X values are all the same, so no line can be fitted.":"X值全部相同，因此無法配適直線。","Two-sided p":"雙尾p值","very strong":"非常強","weak":"弱","X values":"X值","Y values, in the same order":"Y值，順序相同","z (normal)":"z（常態）","χ² (chi-square)":"χ²（卡方）"}