1. As the process runs, further sample means are plotted on the control chart.

2. Uncertainty of Sample Mean and Standard Deviation.

3. One is to compare the sample mean and the sample variance.

4. In a simple random sampling, the sample mean is an unbiased estimate of the population mean.

5. The fundamental of ordered sample mean classification method is Concisely explained.

6. It is found that the sample mean is 4.21" and the standard deviation is 0.09" Find a 98% confidence interval for the true population variance.

7. Populations, random samples. Sample statistics, moments of the sample mean and variance.

8. Meanwhile,[http://] a recursive algorithm for computing the sample mean and covariance matrix with forgetting factors was also given to overcome the difficulties of storing the vast old training samples.

9. In this paper the method on T2 control chart, by which the sample mean vectors of several related quality characteristics are controlled simultaneously in a process, is introduced.

10. We can define it in a couple of different ways depending on whether we're talking about sample mean or population mean.

11. The suggested estimators have usually higher precision compared with the commonly used systematic sample mean.

12. Through analyzing corresponding anomaly composite on 500?hPa and grid sample mean significance test, result winter atmospheric circulation characteristics for rain belt patterns were discussed.