英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：

candelabrum    
n. 枝状大烛台

枝状大烛台

candelabrum
n 1: branched candlestick; ornamental; has several lights [synonym:
{candelabrum}, {candelabra}]


请选择你想看的字典辞典：
单词字典翻译
candelabrum查看　candelabrum　在百度字典中的解释百度英翻中〔查看〕
candelabrum查看　candelabrum　在Google字典中的解释Google英翻中〔查看〕
candelabrum查看　candelabrum　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • Causation and Experimental Design - SAGE Publications Inc
    Causal effect: The finding that change in one variable leads to change in another variable, ceteris paribus (other things being equal) Example: Individuals arrested for domestic assault tend to commit fewer subsequent assaults than similar individuals who are accused in the same circum-stances but are not arrested
  • Correlation vs. Causation in Experimentation and Data Analysis
    In this guide, we’ll break down the difference between correlation and causation and show how tools like Eppo can help teams accurately test and uncover causal effects via experimentation
  • Correlation vs. Causation | Difference, Designs Examples
    Correlation means there is a statistical association between variables Causation means that a change in one variable causes a change in another variable In research, you might have come across the phrase “correlation doesn’t imply causation ”
  • What Are Order Effects? (Explanation Examples) - Statology
    Often in experimental studies, researchers will have participants provide responses to several different treatments In these types of studies, order effects refer to differences in participant responses as a result of the order in which treatments are presented to them
  • 3. 1. 3. 6. Experiments and Experimental Design - NIST
    Two variables are said to be correlated if an observed change in the level of one variable is accompanied by a change in the level of another variable The change may be in the same direction (positive correlation) or in the opposite direction (negative correlation)
  • Finding and Using Health Statistics
    One way to determine whether a relationship between variables is causal is based on three criteria for research design: Temporal Precedence - The hypothesized cause happens before the measured effect Covariation of the Cause and Effect - There is an established relationship between the two variables regardless of causation
  • 6. 1 Correlation and Causation - Sense Sensibility Science
    We explain the mantra that "correlation does not equal causation" by defining causation as "correlation under intervention " We introduce randomized controlled trials, a widely used type of experiment that can tell us with a high degree of confidence whether two variables are causally linked
  • Understanding Experimental Order Effects - Stats with R
    Understanding order effects is essential for designing experiments that minimize these unwanted influences and produce reliable findings This post will explain what order effects are, why they occur, and how to manage them in experimental research
  • Association, Correlation, and Causation - Data 102
    We’ll start by looking at three mistakes that one can make when thinking about association, correlation, and causation Then, we’ll review a few different ways of measuring association, which we’ll use in our later discussion of causality
  • Causalityandexperiments. rev. fall15 - mechanism. ucsd. edu
    Strategy: break the correlation—thereby breaking the effect of the confounding variable Random assignment of subjects is a strategy for breaking the correlation





中文字典-英文字典  2005-2009