{"{0} expected counts are below 5, so the χ² approximation may be poor; Fisher's exact test is better for small tables.":"{0} 個預期次數低於5，因此χ²近似可能不佳；對於小型列聯表，Fisher精確檢定較適合。","A t-test asks whether a mean differs from a value, or two means from each other, more than chance would explain. Welch's test does not assume equal variances and is the safer default for two groups; the paired test compares two measurements on the same subjects. It assumes roughly normal data or reasonably large samples. A small p-value says the difference is unlikely to be chance, not that it is large or important.":"t檢定用來判斷平均值是否與某個值不同，或兩個平均值彼此不同，而差異程度超過隨機機會所能解釋的範圍。Welch檢定不假設變異數相等，因此是兩組資料較穩妥的預設選擇；配對檢定則比較相同受試者的兩次測量結果。這些檢定假設資料大致呈常態分布，或樣本數夠大。較小的p值表示差異不太可能是隨機造成的，但不代表差異很大或很重要。","A z-score says how many standard deviations a value lies from the mean: z = (value − mean) ÷ standard deviation. For a normal distribution, the percentile is the share of values below it: z = 1 is the 84th percentile, z = 1.96 the 97.5th, and z = −1 the 16th. Percentiles are only accurate when the data really are close to normal.":"z分數表示某個值距離平均值相差幾個標準差：z = (值 − 平均值) ÷ 標準差。對常態分布而言，百分位數是低於該值的資料比例：z = 1是第84百分位數，z = 1.96是第97.5百分位數，而z = −1是第16百分位數。只有在資料確實接近常態分布時，百分位數才會準確。","Above this value":"高於此值","After (same subjects, same order)":"之後（相同受試者、相同順序）","Alternative":"對立假設","Before (or first measurement)":"之前（或第一次測量）","Below this value":"低於此值","Between groups":"組間","both tails":"雙尾","Category":"類別","Chi-square calculator":"卡方計算機","Counts: one row per line, columns separated by spaces":"次數：每行一列，欄位以空格分隔","Cramér's V":"Cramér's V","Degrees of freedom":"自由度","Enter a number.":"請輸入數字。","Enter a table of at least 2 × 2 counts, with the same number of columns in every row.":"請輸入至少2 × 2的次數表，每列的欄數必須相同。","Enter a value, a mean, and a standard deviation above zero.":"請輸入值、平均值，以及大於零的標準差。","Enter at least two counts of zero or more.":"請輸入至少兩個大於或等於零的次數。","Enter at least two groups, each with at least two values, one group per line.":"請輸入至少兩組資料，每組至少包含兩個值，每行一組。","Enter at least two values in each group.":"請在每組中輸入至少兩個值。","Enter the value to compare with.":"請輸入要比較的值。","Expected":"預期","Expected counts if rows and columns were independent":"若列與欄彼此獨立時的預期次數","Expected proportions (optional; equal if empty)":"預期比例（選填；留白時使用相等比例）","Further from the mean":"距離平均值更遠","Give one expected proportion above zero for each count, or leave it empty.":"請為每個次數輸入一個大於零的預期比例，或留白。","Goodness of fit":"適合度","Greater (>)":"大於（>）","Group":"組","Group A values":"A組值","Group B values":"B組值","Independence (table)":"獨立性（列聯表）","Less (<)":"小於（<）","Mean":"平均值","Mean difference":"平均值差異","Means":"平均值","Normal curve with the area below z shaded":"在z以下區域加陰影的常態曲線","Not significant at the 5% level (p ≥ 0.05): the data are consistent with no real difference.":"在5%顯著水準下不顯著（p ≥ 0.05）：資料與不存在實際差異的情況一致。","Observed":"觀察值","Observed counts":"觀察次數","One group per line, values separated by spaces or commas":"每行一組，值以空格或逗號分隔","One sample":"單一樣本","One-way analysis of variance tests whether several group means are all equal, by comparing the variation between groups with the variation within them: F = MS between ÷ MS within. A small p-value says at least one mean differs, not which; follow up with pairwise tests and a correction such as Tukey's or Bonferroni's. It assumes independent observations, roughly normal data, and similar variances.":"單因子變異數分析會比較組間變異與組內變異，以檢定多組平均值是否全都相等：F = 組間MS ÷ 組內MS。較小的p值表示至少有一個平均值不同，但無法指出是哪一個；後續應進行成對檢定，並採用Tukey或Bonferroni等校正方法。此分析假設觀察值彼此獨立、資料大致呈常態分布，且變異數相近。","One-way ANOVA calculator":"單因子ANOVA計算機","p-value":"p值","Paired samples":"配對樣本","Paired samples need the same number of values in both lists ({0} and {1}).":"配對樣本的兩份清單必須包含相同數量的值（{0}和{1}）。","percentile":"百分位數","Percentile (%)":"百分位數（%）","Percentile to z":"百分位數轉z","Sample mean":"樣本平均值","Sample values":"樣本值","SD {0} and {1}":"SD {0}和{1}","SD {0}, n = {1}":"SD {0}，n = {1}","share of variance between groups":"組間變異比例","Significant at the 5% level (p < 0.05): the result would be unlikely if there were no real difference.":"在5%顯著水準下顯著（p < 0.05）：若不存在實際差異，這項結果不太可能出現。","Source":"變異來源","Standard deviation":"標準差","strength of association, 0 to 1":"關聯強度，0到1","T-test calculator":"t檢定計算機","Test":"檢定","The χ² test compares observed counts with the counts expected if there were no effect: χ² = Σ (observed − expected)² ÷ expected. The test of independence asks whether two categorical variables are related, from a table of counts; goodness of fit asks whether counts follow given proportions. Use raw counts, not percentages, and no continuity correction is applied.":"χ²檢定會比較觀察次數與無效果時的預期次數：χ² = Σ (觀察值 − 預期值)² ÷ 預期值。獨立性檢定會根據次數表判斷兩個類別變數是否相關；適合度檢定則判斷次數是否符合指定比例。請使用原始次數，而不是百分比；此工具不會套用連續性校正。","Two samples (equal variances)":"兩個樣本（變異數相等）","Two samples (Welch)":"兩個樣本（Welch）","Two-sided (≠)":"雙側（≠）","Value":"值","Value to compare with (μ₀)":"要比較的值（μ₀）","Value to z":"值轉z","Within groups":"組內","Work out":"計算","Z to percentile":"z轉百分位數","Z-score":"z分數","Z-score calculator":"z分數計算機"}