{"{0} expected counts are below 5, so the χ² approximation may be poor; Fisher's exact test is better for small tables.":"期待度数の{0}個が5未満のため、χ²近似の精度が低い可能性があります。小さな分割表にはFisherの正確確率検定のほうが適しています。","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検定は、平均値がある値と異なるか、または2つの平均値が互いに異なるかを、偶然だけでは説明しにくいほどの差かどうかで判定します。Welchの検定は等分散を仮定しないため、2群の比較ではより安全な既定の選択肢です。対応のある検定は、同じ対象から得た2つの測定値を比較します。データが概ね正規分布に従うか、標本数が十分に大きいことを前提とします。p値が小さいことは、その差が偶然である可能性が低いことを示しますが、差が大きい、または重要であることを示すものではありません。","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スコアは、値が平均から標準偏差何個分離れているかを示します：z = (値 − 平均) ÷ 標準偏差。正規分布では、パーセンタイルはその値を下回る値の割合です：z = 1は84パーセンタイル、z = 1.96は97.5パーセンタイル、z = −1は16パーセンタイルです。パーセンタイルが正確になるのは、データが実際に正規分布に近い場合に限られます。","Above this value":"この値より上","After (same subjects, same order)":"後（同じ対象、同じ順序）","Alternative":"対立仮説","Before (or first measurement)":"前（または1回目の測定）","Below this value":"この値より下","Between groups":"群間","both tails":"両側","Category":"カテゴリ","Chi-square calculator":"カイ二乗検定計算機","Counts: one row per line, columns separated by spaces":"度数：1行に1行分を入力し、列はスペースで区切ります","Cramér's V":"CramérのV","Degrees of freedom":"自由度","Enter a number.":"数値を入力してください。","Enter a table of at least 2 × 2 counts, with the same number of columns in every row.":"少なくとも2 × 2の度数表を入力してください。各行の列数は同じにしてください。","Enter a value, a mean, and a standard deviation above zero.":"値、平均、0より大きい標準偏差を入力してください。","Enter at least two counts of zero or more.":"0以上の度数を2つ以上入力してください。","Enter at least two groups, each with at least two values, one group per line.":"2つ以上の群を入力してください。各群には2つ以上の値を含め、1行に1群を入力します。","Enter at least two values in each group.":"各群に2つ以上の値を入力してください。","Enter the value to compare with.":"比較対象の値を入力してください。","Expected":"期待値","Expected counts if rows and columns were independent":"行と列が独立している場合の期待度数","Expected proportions (optional; equal if empty)":"期待比率（任意。空欄の場合は等しい比率）","Further from the mean":"平均からの距離が大きい","Give one expected proportion above zero for each count, or leave it empty.":"各度数に対して0より大きい期待比率を1つずつ入力するか、空欄にしてください。","Goodness of fit":"適合度","Greater (>)":"大きい（>）","Group":"群","Group A values":"群Aの値","Group B values":"群Bの値","Independence (table)":"独立性（分割表）","Less (<)":"小さい（<）","Mean":"平均","Mean difference":"平均差","Means":"平均値","Normal curve with the area below z shaded":"zより下の面積を色付けした正規曲線","Not significant at the 5% level (p ≥ 0.05): the data are consistent with no real difference.":"5%水準で有意ではありません（p ≥ 0.05）：データは実質的な差がないことと整合します。","Observed":"観測値","Observed counts":"観測度数","One group per line, values separated by spaces or commas":"1行に1群を入力し、値はスペースまたはカンマで区切ります","One sample":"1標本","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.":"一元配置分散分析は、群間変動と群内変動を比較して、複数の群の平均値がすべて等しいかどうかを検定します：F = MS between ÷ MS within。p値が小さい場合、少なくとも1つの平均値が異なることを示しますが、どれかは示しません。その後、Tukey法やBonferroni法などによる補正を用いたペアごとの検定を行ってください。独立した観測値、概ね正規分布に従うデータ、類似した分散を前提とします。","One-way ANOVA calculator":"一元配置ANOVA計算機","p-value":"p値","Paired samples":"対応のある標本","Paired samples need the same number of values in both lists ({0} and {1}).":"対応のある標本では、両方のリストの値の数を同じにしてください（{0}と{1}）。","percentile":"パーセンタイル","Percentile (%)":"パーセンタイル（%）","Percentile to z":"パーセンタイルからzへ","Sample mean":"標本平均","Sample values":"標本値","SD {0} and {1}":"SD {0}と{1}","SD {0}, n = {1}":"SD {0}、n = {1}","share of variance between groups":"群間分散の割合","Significant at the 5% level (p < 0.05): the result would be unlikely if there were no real difference.":"5%水準で有意です（p < 0.05）：実質的な差がなければ、この結果が得られる可能性は低いと考えられます。","Source":"変動要因","Standard deviation":"標準偏差","strength of association, 0 to 1":"関連の強さ（0～1）","T-test calculator":"t検定計算機","Test":"検定","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検定は、効果がない場合に期待される度数と観測度数を比較します：χ² = Σ (observed − expected)² ÷ expected。独立性の検定は、度数表から2つのカテゴリ変数に関連があるかどうかを調べます。適合度検定は、度数が指定された比率に従っているかどうかを調べます。パーセンテージではなく生の度数を使用し、連続性補正は適用されません。","Two samples (equal variances)":"2標本（等分散）","Two samples (Welch)":"2標本（Welch）","Two-sided (≠)":"両側（≠）","Value":"値","Value to compare with (μ₀)":"比較対象の値（μ₀）","Value to z":"値からzへ","Within groups":"群内","Work out":"計算","Z to percentile":"Zからパーセンタイルへ","Z-score":"Zスコア","Z-score calculator":"Zスコア計算機"}