average error的音標是["?v?r?d? ??st??(r)],基本翻譯是平均誤差,速記技巧可以考慮用字母縮寫法,即把每個單詞的字母分別縮寫到最少的必要字母。例如,可以把單詞“average”縮寫為“a.r.v.”,把“error”縮寫為“e.r.。這樣就可以輕松地記住和拼寫單詞了。
Average error這個詞的英文詞源可以追溯到拉丁語“aequus”和“error”,意思是“平等”和“錯誤”。
變化形式:
1. 復數形式“averages”
2. 過去式“averaged”
3. 過去分詞“averaged”
相關單詞:
1. “average”意為“平均”,來源于拉丁語“aequus”,意為“平等”。
2. “deviation”意為“偏差”,來源于拉丁語“error”,意為“錯誤”。
3. “standard deviation”意為“標準偏差”,是“deviation”的衍生詞。
平均誤差在統計學中是一個重要的概念,它描述了數據分布的平均值和實際觀測值之間的差異。這個詞在英語中廣泛使用,并且經常出現在各種統計文獻中。這個詞的詞源和變化形式也反映了英語語言的歷史和文化背景。
常用短語:
1. average error 平均誤差
2. error rate 錯誤率
3. deviation error 偏差誤差
4. root mean square error 均方根誤差
5. cumulative error 累積誤差
6. error tolerance 誤差容忍度
7. error correction 誤差修正
例句:
1. The average error of our data analysis is about 5%.
2. The error rate in this experiment is relatively high, which may affect the accuracy of the results.
3. The deviation error of the weather forecast is usually within a certain range, but it may vary depending on the weather conditions.
4. The root mean square error of this model is much lower than that of the previous one, indicating better prediction accuracy.
5. The cumulative error of our project is increasing, and we need to find ways to reduce it.
6. The error tolerance of this product is very high, so it can withstand some minor defects without affecting its overall performance.
7. Error correction is an essential part of software development, as it ensures that the final product meets the required standards.
英文小作文:
Title: Error Analysis and Correction
In any scientific or engineering endeavor, errors are inevitable, and it is essential to identify and correct them to ensure accurate results. There are various types of errors that can occur in data analysis, weather forecasting, software development, and more. However, with the help of advanced tools and techniques, we can reduce the impact of errors and improve the accuracy of our work.
One such technique is error analysis, which involves identifying the sources of errors and determining their magnitudes. Through error analysis, we can identify systematic errors that occur repeatedly and are related to specific factors, such as equipment malfunction or data collection issues. Once these errors are identified, they can be corrected through various methods, such as data recalculation or using alternative methods.
Error correction is another crucial aspect of error management that ensures that the final product meets the required standards. This involves identifying errors in the final product and implementing appropriate corrections to eliminate them. This process ensures that the product is free from significant errors and can be safely used by end users.
Error analysis and correction are essential parts of any quality control process, as they ensure that our work is accurate and reliable. By using these techniques, we can improve our workmanship and reduce the impact of errors on our projects and products, thereby achieving better results and higher customer satisfaction.