nonsignificant

简明释义

英[ˌnɒnsɪɡˈnɪfɪkənt]美[ˌnɑnsɪɡˈnɪfɪkənt]

adj. 无意义的；无足轻重的；不重要的

英英释义

单词用法

同义词

反义词

例句

1.Nonsignificant influence of pressure on the experimental result was further confirmed by the experiment.

实验进一步验证了压强对实验结果的非显著性影响。

2.Similar results were observed in the static stretch group, but the difference of label density between the control and the static stretch in the areas beyond M-line was nonsignificant.

静力牵张组在M线及M线两侧的标记结果与针刺组一致。仅在M线两侧以外区域牵张腿与运动对照腿之间标记密度的差异没有统计学意义。

3.A Syllable is a nonsignificant composite sound, made up of a mute and a Letter having a sound (a vowel or semivowel); for GR, without an a, is just as much a Syllable as GRA, with an a.

音节是由一个哑音字母和一个发声字母(元音或者半元音)构成的无意义的复合声音，没有A时GR是一个音节，而有a时gra也是一个音节。

4.A Syllable is a nonsignificant composite sound, made up of a mute and a Letter having a sound (a vowel or semivowel); for GR, without an a, is just as much a Syllable as GRA, with an a.

音节是由一个哑音字母和一个发声字母(元音或者半元音)构成的无意义的复合声音，没有A时GR是一个音节，而有a时gra也是一个音节。

5.Syllable is a nonsignificant composite sound, made up of a mute and a Letter having a sound (a vowel or semivowel ); for GR, without an A, is just as much a Syllable as GRA, with an A.

音节是由一个哑音字母和一个发声字母（元音或者半元音）构成的无意义的复合声音，没有A时GR是一个音节，而有A时GRA也是一个音节。

6.The results indicate that the water quality shows nonsignificant deviation among underground runoff, the near little rivers, the near reservoir and the town rivers;

结果表明：集水区地下水、集水区旁小河水、水库水、县城河流水之间的水质无显著性差异；

7.When data were categorized based on antibiotics used, which included amoxicillin and cotrimoxazole, the differences remained nonsignificant.

对于按照抗生素不同进行分析，应用阿莫西林和磺胺甲基异恶唑同样没有显著差异。

8.Mean total testosterone, serum hormone binding globulin, free androgen index, dehydroepiandrosterone sulfate in all arms were comparable and statistically nonsignificant.

平均总睾酮、血清激素结合球蛋白、游离雄激素指数、硫酸脱氢雄酮水平再所有组中也是相似的，没有统计学差异。

9.The differences of the heat rate before, during and after the operation were nonsignificant.

心率术前组、术中组、术后组之间的差别无统计学意义。

10.The study found that the differences in test scores were nonsignificant 不显著.

研究发现测试分数的差异是不显著的。

11.The medication showed nonsignificant 不显著 effects on the patients' recovery times.

该药物对患者恢复时间的影响是不显著的。

12.The correlation between the two variables was found to be nonsignificant 不显著.

这两个变量之间的相关性被发现是不显著的。

13.In the clinical trial, the side effects were deemed nonsignificant 不显著 compared to the benefits.

在临床试验中，副作用被认为与益处相比是不显著的。

14.After analyzing the data, the researchers concluded that the results were nonsignificant 不显著.

在分析数据后，研究人员得出结论结果是不显著的。

作文

In the realm of scientific research and statistical analysis, the term nonsignificant is frequently encountered. It refers to results that do not show a statistically meaningful effect or relationship between variables. Understanding this concept is crucial for interpreting data accurately and making informed decisions based on research findings. For instance, when researchers conduct experiments, they often seek to determine whether their results are significant enough to warrant attention. If the results are deemed nonsignificant (不显著), it suggests that any observed effects could be due to chance rather than a true underlying relationship.One common scenario where nonsignificant results arise is in clinical trials. Imagine a new drug being tested to treat a specific condition. Researchers might compare the outcomes of patients receiving the drug against those receiving a placebo. If the difference in recovery rates is found to be nonsignificant (不显著), it indicates that the drug may not have a meaningful impact on patient health compared to the placebo. This outcome can be disappointing for both researchers and patients hoping for a breakthrough treatment.However, it is essential to recognize that nonsignificant results do not imply that the research is worthless. In fact, they can provide valuable insights. For example, a nonsignificant (不显著) finding might suggest that further investigation is needed or that the initial hypothesis requires reevaluation. Researchers may need to adjust their methodologies, sample sizes, or even consider alternative explanations for their observations.Moreover, the interpretation of nonsignificant results can vary depending on the context of the study. In some fields, such as psychology or social sciences, the threshold for significance may be set at a more lenient level. As a result, what is considered nonsignificant (不显著) in one study might be viewed differently in another. Therefore, understanding the nuances of statistical significance is essential for drawing accurate conclusions.Additionally, the notion of nonsignificant findings can be misleading if not communicated properly. Media reports often sensationalize research results, focusing only on significant findings while glossing over those that are nonsignificant (不显著). This can lead to misinformation and misinterpretation among the public. It is vital for scientists and journalists alike to convey the full spectrum of research results, including the nonsignificant (不显著) ones, to foster a better understanding of scientific inquiry.In conclusion, the term nonsignificant (不显著) plays a crucial role in the interpretation of research findings. While it may denote a lack of statistical significance, it does not diminish the value of the research itself. Instead, nonsignificant results can guide future studies, encourage critical thinking, and highlight the complexities of scientific exploration. Embracing both significant and nonsignificant (不显著) outcomes is essential for advancing knowledge and fostering a more nuanced understanding of the world around us.

在科学研究和统计分析领域，术语不显著经常被提及。它指的是结果未显示出变量之间有统计学上有意义的影响或关系。理解这一概念对于准确解读数据和根据研究发现做出明智决策至关重要。例如，当研究人员进行实验时，他们通常希望确定其结果是否足够显著以引起关注。如果结果被认为是不显著（不显著），这表明任何观察到的效果可能是由于偶然，而不是潜在的真实关系。一个常见的场景是临床试验中，设想一种新药被测试用于治疗特定疾病。研究人员可能会比较接受该药物的患者与接受安慰剂的患者的结果。如果恢复率的差异被发现是不显著（不显著），这表明该药物对患者健康的影响可能不大于安慰剂。这一结果可能令希望获得突破性治疗的研究人员和患者感到失望。然而，必须认识到，不显著的结果并不意味着研究毫无价值。事实上，它们可以提供有价值的见解。例如，一个不显著（不显著）的发现可能表明需要进一步调查，或者初始假设需要重新评估。研究人员可能需要调整他们的方法论、样本大小，甚至考虑对他们观察结果的替代解释。此外，不显著结果的解释可能因研究的背景而异。在某些领域，如心理学或社会科学，显著性阈值可能设定得更加宽松。因此，在一项研究中被认为是不显著（不显著）的结果在另一项研究中可能会有不同的看法。因此，理解统计显著性的细微差别对于得出准确结论至关重要。此外，不显著结果的观念如果没有适当传达，可能会产生误导。媒体报道往往对研究结果进行夸大，专注于显著结果，而忽略那些不显著（不显著）的结果。这可能导致公众的误解和错误解读。科学家和记者都必须传达研究结果的全貌，包括不显著（不显著）的结果，以促进对科学探究的更好理解。总之，术语不显著（不显著）在研究结果的解释中发挥着至关重要的作用。虽然它可能表示缺乏统计显著性，但这并不减少研究本身的价值。相反，不显著的结果可以指导未来的研究，鼓励批判性思维，并突出科学探索的复杂性。接纳显著和不显著（不显著）的结果对于推动知识进步和促进对我们周围世界的更细致理解至关重要。