{"{0} degrees of freedom":"{0}个自由度","±{0} points":"±{0}点","1 to 4":"1至4","1 to 5":"1至5","1 to 7":"1至7","Agree (top {0})":"同意（最高{0}项）","Agreement expected by chance":"随机情况下的预期一致率","Agreement table: rater A's categories as rows, rater B's as columns":"一致性表：评定者A的类别为行，评定者B的类别为列","almost perfect":"几乎完美","At or above the usual 80% target":"达到或高于通常的80%目标","Below the usual 80% target":"低于通常的80%目标","Chance of missing a real effect (β)":"漏掉真实效应的概率（β）","Cohen's kappa":"Cohen's kappa","Cohen's kappa calculator":"Cohen's kappa计算器","Confidence interval calculator":"置信区间计算器","Confidence level":"置信水平","Critical t":"临界t值","Desired power (%)":"目标统计功效（%）","Disagree (bottom {0})":"不同意（最低{0}项）","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.":"每一列代表一个问题，采用从1（非常不同意）到最高值（非常同意）的量表；超出量表范围的回答会被忽略。表格显示每个问题的平均值和中位数，以及同意和不同意的比例（在5点或7点量表中，同意指最高的两档），条形图显示完整分布。Likert回答属于有序类别，因此许多分析人员更倾向于使用中位数和分布，而不是平均值。","Effect size (Cohen's d)":"效应量（Cohen's d）","Enter a group size of at least 2.":"请输入至少为2的组大小。","Enter a mean, a standard deviation, and a sample size of at least 2.":"请输入平均值、标准差，以及至少为2的样本量。","Enter a power between 0 and 100%.":"请输入介于0和100%之间的统计功效。","Enter a square table of counts, at least 2 × 2, one row per line.":"请输入方形计数表，至少为2 × 2，每行一行。","Enter an effect size above zero and α between 0 and 0.5.":"请输入大于0的效应量，以及介于0和0.5之间的α。","Enter the number of successes and a sample size at least that large.":"请输入成功次数，以及不小于该次数的样本量。","fair":"一般","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.":"对于平均值，区间为平均值±t×SD÷√n，其中t来自Student分布。对于比例，首先显示Wilson评分区间，因为它在接近0%和100%以及样本量较小时表现良好；同时显示简单的Wald区间p±z√(p(1−p)÷n）以供比较。95%区间采用一种在95%的样本中涵盖真实值的方法构建；这并不表示该特定区间包含真实值的概率为95%。","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.":"用于比较两个组的平均值，采用独立t检验。统计功效是指真实效应达到所输入大小时发现显著结果的概率；通常目标为80%。效应越小，所需人数就越多：在α=0.05时，d=0.5要达到80%的统计功效，每组需要64人；d=0.2则需要394人。该计算紧密遵循非中心t分布，在典型情况下与专用统计功效软件的结果相差不超过1人。","Interval":"区间","Interval for":"区间类型","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衡量两位评定者的一致程度超出随机一致程度的部分：κ=（观察值−预期值）÷（1−预期值），其中预期一致率来自每位评定者的总体类别比例。对于有序类别，加权kappa会对接近但不完全一致的结果给予部分分值。Landis和Koch的分级将0.41–0.60称为中等，0.61–0.80称为较高，超过0.80称为几乎完美；这些只是约定，并非检验。","Likert scale analyzer":"Likert量表分析工具","Linear (ordered categories)":"线性（有序类别）","Margin of error":"误差范围","Mean":"平均值","Mean (from data)":"平均值（来自数据）","Mean (from summary)":"平均值（来自汇总数据）","Mean and SD":"平均值和SD","Median":"中位数","moderate":"中等","Observed agreement":"观察一致率","One-sided":"单侧","Paste the responses, one person per line, with answers separated by commas or tabs.":"粘贴回答，每人一行，并用逗号或制表符分隔答案。","poor":"较差","Power":"统计功效","Power of a design":"设计的统计功效","Power reached":"达到的统计功效","Proportion":"比例","Quadratic (ordered categories)":"二次（有序类别）","Question":"问题","Question {0}":"问题{0}","Questions":"问题数","Respondents":"受访者","Responses: one person per line, one column per question; an optional first line of question names":"回答：每人一行，每个问题一列；可选的第一行用于填写问题名称","Sample mean":"样本平均值","Sample size":"样本量","Sample size needed":"所需样本量","Sample values":"样本值","Scale":"量表","Significance level α":"显著性水平α","Simple (Wald) interval":"简单（Wald）区间","Size of each group":"每组大小","slight":"轻微","Standard deviation":"标准差","Statistical power calculator":"统计功效计算器","substantial":"较高","Successes (number who said yes)":"成功次数（回答“是”的人数）","Test":"检验","Total":"总计","Two-sided":"双侧","Unweighted (categories)":"未加权（类别）","Weighted kappa":"加权kappa","Weights":"权重","Wilson interval":"Wilson区间","Work out":"计算"}