{"{0} degrees of freedom":"{0} 個自由度","±{0} points":"±{0} 分","1 to 4":"1 到 4","1 to 5":"1 到 5","1 to 7":"1 到 7","Agree (top {0})":"同意（最高{0}個分數）","Agreement expected by chance":"機率造成的預期一致程度","Agreement table: rater A's categories as rows, rater B's as columns":"一致性表：評分者A的類別為列，評分者B的類別為欄","almost perfect":"幾乎完美","At or above the usual 80% target":"達到或高於通常的80%目標","Below the usual 80% target":"低於通常的80%目標","Chance of missing a real effect (β)":"漏掉真實效果的機率（β）","Cohen's kappa":"Cohen's kappa","Cohen's kappa calculator":"Cohen's kappa計算機","Confidence interval calculator":"信賴區間計算機","Confidence level":"信賴水準","Critical t":"臨界t值","Desired power (%)":"期望檢定力（%）","Disagree (bottom {0})":"不同意（最低{0}個分數）","Each column is one question answered on a scale from 1 (strongly disagree) to the top value (strongly agree); answers outside the scale are ignored. The table gives each question's mean and median and the share agreeing (the top two points on a 5- or 7-point scale) and disagreeing, and the bars show the full distribution. Likert answers are ordered categories, so many analysts prefer the median and the distribution to the mean.":"每一欄代表一個問題，回答尺度從1（非常不同意）到最高值（非常同意）；超出尺度的回答會被忽略。表格會顯示每個問題的平均數和中位數，以及同意的比例（在5點或7點尺度中，最高的兩個分數）和不同意的比例；長條則顯示完整的分布。Likert回答屬於有序類別，因此許多分析人員會偏好中位數和分布，而不是平均數。","Effect size (Cohen's d)":"效果量（Cohen's d）","Enter a group size of at least 2.":"請輸入至少為2的組別大小。","Enter a mean, a standard deviation, and a sample size of at least 2.":"請輸入平均數、標準差，以及至少為2的樣本數。","Enter a power between 0 and 100%.":"請輸入介於0和100%之間的檢定力。","Enter a square table of counts, at least 2 × 2, one row per line.":"請輸入方形計數表，至少為2 × 2，每列一行。","Enter an effect size above zero and α between 0 and 0.5.":"請輸入大於0的效果量，以及介於0和0.5之間的α。","Enter the number of successes and a sample size at least that large.":"請輸入成功次數，以及至少同樣大的樣本數。","fair":"普通","For a mean, the interval is mean ± t × SD ÷ √n, with t from Student's distribution. For a proportion, the Wilson score interval is shown first because it behaves well near 0% and 100% and for small samples; the simple Wald interval, p ± z√(p(1 − p) ÷ n), is shown for comparison. A 95% interval is built by a method that captures the true value in 95% of samples; it is not a 95% chance for this particular interval.":"對於平均數，區間為mean ± t × SD ÷ √n，其中t來自Student's分布。對於比例，會先顯示Wilson分數區間，因為它在接近0%和100%以及小樣本時表現良好；簡單的Wald區間p ± z√(p(1 − p) ÷ n)則作為比較。一個95%的區間，是透過能在95%的樣本中涵蓋真實值的方法建立；這不代表這個特定區間有95%的機率包含真實值。","For comparing two group means with an independent t-test. Power is the chance of finding a significant result when the true effect is the size you entered; 80% is the usual target. Smaller effects need far more people: d = 0.5 needs 64 per group for 80% power at α = 0.05, d = 0.2 needs 394. The calculation follows the noncentral t distribution closely and matches dedicated power software to the nearest person in typical cases.":"用於比較兩組平均數的獨立t檢定。檢定力是在真實效果等於您輸入的大小時，找到顯著結果的機率；通常的目標是80%。較小的效果需要多得多的受試者：在α = 0.05時，d = 0.5需要每組64人才能達到80%的檢定力，而d = 0.2需要394人。此計算會密切依循非中心t分布，在一般情況下，結果與專用檢定力軟體相差不超過1人。","Interval":"區間","Interval for":"區間類型","Kappa measures how much two raters agree beyond what chance alone would give: κ = (observed − expected) ÷ (1 − expected), where expected agreement comes from each rater's overall category shares. For ordered categories, weighted kappa gives partial credit to near misses. Landis and Koch's labels call 0.41–0.60 moderate, 0.61–0.80 substantial, and above 0.80 almost perfect; they are conventions, not tests.":"Kappa衡量兩位評分者的一致程度超出單靠機率所能達到的程度：κ = (observed − expected) ÷ (1 − expected)，其中預期一致程度來自每位評分者各類別在整體中的比例。對於有序類別，加權kappa會對接近但不完全一致的結果給予部分分數。Landis和Koch的標準將0.41–0.60稱為中等、0.61–0.80稱為高度，並將高於0.80稱為幾乎完美；這些只是慣例，不是檢定。","Likert scale analyzer":"Likert尺度分析工具","Linear (ordered categories)":"線性（有序類別）","Margin of error":"誤差範圍","Mean":"平均數","Mean (from data)":"平均數（來自資料）","Mean (from summary)":"平均數（來自摘要）","Mean and SD":"平均數和SD","Median":"中位數","moderate":"中等","Observed agreement":"觀察到的一致程度","One-sided":"單尾","Paste the responses, one person per line, with answers separated by commas or tabs.":"請貼上回答，每行一人，答案以逗號或定位字元分隔。","poor":"差","Power":"檢定力","Power of a design":"研究設計的檢定力","Power reached":"達到的檢定力","Proportion":"比例","Quadratic (ordered categories)":"二次（有序類別）","Question":"問題","Question {0}":"問題{0}","Questions":"問題數","Respondents":"受訪者","Responses: one person per line, one column per question; an optional first line of question names":"回答：每行一人，每欄一個問題；第一行可選填問題名稱","Sample mean":"樣本平均數","Sample size":"樣本數","Sample size needed":"所需樣本數","Sample values":"樣本值","Scale":"尺度","Significance level α":"顯著水準α","Simple (Wald) interval":"簡單（Wald）區間","Size of each group":"每組大小","slight":"輕微","Standard deviation":"標準差","Statistical power calculator":"統計檢定力計算機","substantial":"高度","Successes (number who said yes)":"成功次數（回答是的人數）","Test":"檢定","Total":"總計","Two-sided":"雙尾","Unweighted (categories)":"未加權（類別）","Weighted kappa":"加權kappa","Weights":"權重","Wilson interval":"Wilson區間","Work out":"計算"}