confidence level

简明释义

置信度

英英释义

例句

1.Our findings are based on a confidence level of 85%, which is acceptable for preliminary studies.

我们的发现基于85%的置信水平，这对于初步研究是可以接受的。

2.The survey results show a 95% confidence level that the majority of people prefer online shopping.

调查结果显示有95%的置信水平，大多数人更喜欢在线购物。

3.A lower confidence level might suggest that further data collection is needed.

较低的置信水平可能表明需要进一步的数据收集。

4.In our research, we achieved a confidence level of 90%, indicating strong support for our hypothesis.

在我们的研究中，我们达到了90%的置信水平，这表明我们的假设得到了强有力的支持。

5.The confidence level of the statistical model was set at 99% to ensure high reliability.

统计模型的置信水平设置为99%，以确保高可靠性。

作文

In today's world, where data-driven decisions dominate various fields, understanding the concept of confidence level (置信水平) is crucial. The confidence level refers to the probability that a statistical measure will fall within a specified range of values. It is commonly expressed as a percentage, such as 90%, 95%, or 99%. For instance, if a survey reports a confidence level of 95%, it means that if the same survey were conducted multiple times, 95% of the time, the results would reflect the true population parameter within a certain margin of error.The importance of confidence level (置信水平) can be seen in various fields, including healthcare, marketing, and social sciences. In medical research, for example, a clinical trial may report that a new drug has a 95% confidence level in its effectiveness. This indicates a high degree of certainty that the drug will work for the majority of patients based on the sample studied. Such information is vital for healthcare professionals when making treatment decisions and for patients when considering their options.Similarly, in marketing, businesses often conduct surveys to understand consumer preferences. A survey might find that 70% of respondents prefer a particular product, with a confidence level of 95%. This means that marketers can be confident that the preference for that product is not just a random occurrence but reflects a true trend among the larger population. This helps companies allocate resources effectively and tailor their strategies to meet consumer demands.Moreover, the confidence level (置信水平) plays a significant role in scientific research. Researchers use statistical methods to analyze data and draw conclusions. When they present their findings, they often include the confidence level to indicate the reliability of their results. For instance, if a study finds a correlation between two variables with a confidence level of 99%, it suggests a very strong relationship, whereas a confidence level of 90% might imply a weaker association.Understanding the confidence level (置信水平) also helps individuals critically evaluate the information presented to them. In an era of misinformation, being able to discern the confidence level behind claims can empower consumers and citizens to make informed decisions. For example, when reading news articles about scientific studies, knowing the confidence level can help readers assess the validity of the claims being made.In conclusion, the concept of confidence level (置信水平) is fundamental in interpreting data and making informed decisions across various domains. Whether in healthcare, marketing, or scientific research, understanding the confidence level allows us to gauge the reliability of information and enhances our ability to make sound judgments. As we navigate through a world increasingly reliant on data, grasping this concept will undoubtedly serve us well in both personal and professional contexts.