A random variable assigns a numerical outcome to each event in an experiment.
The value of a random variable changes according to probability distributions assigned.
Proper combinations of number of outcomes, discrete step size, and scaling of the random variable, the discrete cumulate percentage distribution and discrete percentage density will converge to the continuous cumulative probability distribution and probability density function respectively.
适当之出现或试验次数或取样数量、散化阶梯大小、随机变数缩放比例可使离散累积百分比分布及离散百分比密度趋近于连续的累积机率分布及机率密度函数。
Each outcome corresponds to a random variable, which can be measured in different ways.
每一种可能的结果都对应一个可以用不同方式度量的随机变量。
Statisticians use a random variable to model unpredictable events in data sets.
统计学家利用随机变量来刻画数据中难以预料的事件。
The error term is treated as a random variable.
误差项被视为一个随机变量。
Converts a random variable to a normalised value.
将随机变量转换成标准值。
Researchers observe how the random variable behaves across repeated sampling in studies.
研究者通过反复抽样来考察随机变量在样本之间的变化情况。
The behavior of a random variable can help predict the likelihood of future occurrences.
研究随机变量的行为有助于推断将来事件发生的可能性。
The random variable in this process determines the range of possible results.
在这个过程中,随机变量决定了结果可能出现的取值范围。
In probability theory, a random variable represents uncertain outcomes with specific values.
在概率论中,随机变量用具体的数值来刻画不确定的结果。
Probability experiments produce a random variable that can be continuous or discrete.
一次概率试验产生的随机变量可以是连续型的,也可以是离散型的。
Each trial's outcome is mapped to a random variable to analyze possible deviations.
每次试验得到的结果都会被映射成一个随机变量,用来分析可能的偏差。