table of normal distribution

简明释义

正常分配表

英英释义

例句

1.When conducting hypothesis testing, researchers often consult the table of normal distribution（正态分布表） to determine critical values.

在进行假设检验时，研究人员通常会查阅table of normal distribution（正态分布表）以确定临界值.

2.To find the probability of a score falling within a certain range, we can refer to the table of normal distribution（正态分布表）.

要找出某个分数落在特定范围内的概率，我们可以参考table of normal distribution（正态分布表）.

3.In statistics class, we learned how to use the table of normal distribution（正态分布表） to calculate z-scores.

在统计课上，我们学习了如何使用table of normal distribution（正态分布表）来计算z分数.

4.The table of normal distribution（正态分布表） helps us understand the likelihood of different outcomes in a given experiment.

通过table of normal distribution（正态分布表），我们可以理解在给定实验中不同结果的可能性.

5.The table of normal distribution（正态分布表） is essential for understanding how data is distributed in a bell curve.

理解数据在钟形曲线中如何分布，table of normal distribution（正态分布表）是必不可少的.

作文

The concept of the normal distribution is fundamental in statistics and plays a crucial role in various fields such as psychology, finance, and natural sciences. At the heart of this concept lies the table of normal distribution, which serves as a valuable tool for statisticians and researchers alike. Understanding how to read and utilize this table of normal distribution can significantly enhance one's ability to interpret data and make informed decisions based on statistical analysis.The normal distribution, often referred to as the Gaussian distribution, is characterized by its bell-shaped curve. This curve is symmetric around the mean, indicating that data points are equally likely to occur above or below the average. The table of normal distribution provides a comprehensive overview of the probabilities associated with different z-scores, which represent the number of standard deviations a data point is from the mean.To fully grasp the importance of the table of normal distribution, one must first understand the concept of z-scores. A z-score is calculated by subtracting the mean from a data point and then dividing by the standard deviation. This process standardizes the data, allowing for comparisons across different datasets. The table of normal distribution lists these z-scores alongside their corresponding probabilities, which indicate the likelihood of a value falling below a certain point in a normally distributed dataset.For instance, if a researcher is analyzing test scores from a large population, they may find that the scores are normally distributed. By calculating the z-score for a specific score, the researcher can use the table of normal distribution to determine the percentage of students who scored below that particular score. This information can be invaluable when assessing student performance or determining cutoff scores for assessments.Moreover, the table of normal distribution is not only useful for understanding individual data points but also for making predictions about future outcomes. In business, for example, companies often rely on normal distribution to forecast sales trends or customer behavior. By analyzing historical data and applying the table of normal distribution, businesses can estimate the probability of achieving certain sales figures in the upcoming quarters.In addition to its practical applications, the table of normal distribution also serves an educational purpose. It helps students and practitioners develop a deeper understanding of statistical concepts and encourages critical thinking when it comes to data interpretation. By engaging with the table of normal distribution, individuals can learn to recognize patterns, identify outliers, and assess the reliability of their data.In conclusion, the table of normal distribution is an essential resource in the field of statistics. Its ability to provide insights into the probabilities associated with different data points makes it a powerful tool for researchers, educators, and business professionals. By mastering the use of the table of normal distribution, individuals can enhance their analytical skills and improve their decision-making processes. As we continue to navigate a world increasingly driven by data, understanding the principles behind the normal distribution and its accompanying table will undoubtedly remain a critical competency for success in various disciplines.

正态分布的概念在统计学中是基础，并在心理学、金融和自然科学等多个领域发挥着重要作用。在这一概念的核心是正态分布表，它为统计学家和研究人员提供了一个有价值的工具。理解如何阅读和利用这个正态分布表可以显著增强一个人解读数据和基于统计分析做出明智决策的能力。正态分布，通常称为高斯分布，其特征是钟形曲线。该曲线围绕平均值对称，表明数据点在平均值之上或之下出现的可能性相等。正态分布表提供了与不同z分数相关的概率的全面概述，这些z分数表示数据点距离均值的标准差数量。要充分理解正态分布表的重要性，首先必须了解z分数的概念。z分数通过从数据点中减去均值，然后除以标准差来计算。这个过程将数据标准化，使得可以跨不同的数据集进行比较。正态分布表列出了这些z分数及其对应的概率，这些概率表示某个值在正态分布数据集中低于某一点的可能性。例如，如果研究人员正在分析来自一个大人口的测试分数，他们可能会发现这些分数呈正态分布。通过计算特定分数的z分数，研究人员可以使用正态分布表来确定有多少学生的分数低于该特定分数。这些信息在评估学生表现或确定评估的截止分数时极为宝贵。此外，正态分布表不仅对理解单个数据点有用，还用于预测未来结果。在商业中，例如，公司通常依赖正态分布来预测销售趋势或客户行为。通过分析历史数据并应用正态分布表，企业可以估计在即将到来的季度中实现某些销售数字的概率。除了其实际应用外，正态分布表还具有教育意义。它帮助学生和从业者更深入地理解统计概念，并鼓励在数据解释时进行批判性思考。通过与正态分布表互动，个人可以学习识别模式、识别异常值并评估数据的可靠性。总之，正态分布表是统计学领域的一个基本资源。它提供的与不同数据点相关的概率的见解使其成为研究人员、教育工作者和商业专业人士的强大工具。通过掌握使用正态分布表，个人可以增强他们的分析技能，改善他们的决策过程。随着我们继续在一个日益由数据驱动的世界中航行，理解正态分布及其附带表格背后的原则无疑将继续成为各个学科成功的关键能力。