sample standard deviation वाक्य
उदाहरण वाक्य
मोबाइल
- Where \ hat \ sigma is the sample standard deviation.
- Important examples include the sample variance and sample standard deviation.
- \hat { \ sigma } is estimated using the sample standard deviation.
- The sample standard deviations are 15.81 and 28.46, respectively.
- Thus for very large sample sizes, the uncorrected sample standard deviation is generally acceptable.
- This estimator also has a uniformly smaller mean squared error than the corrected sample standard deviation.
- Similarly, the sample standard deviation will very rarely be equal to the population standard deviation.
- The RMSD represents the sample standard deviation of the differences between predicted values and observed values.
- Where is the sample correlation coefficient between and; and and are the sample standard deviation of and.
- The sample standard deviations for the two samples are approximately 0.05 and 0.11, respectively.
- Both can be applied either to parametrically based estimates of the standard deviation or to the sample standard deviation.
- A simple example is the process of dividing a sample mean by the sample standard deviation when data arise from a location-scale family.
- The sample standard deviation s = 10.23 is greater than the true population standard deviation " ? " = 9.27 years.
- The sample standard deviations are still 15.81 and 28.46, respectively, because the standard deviation is not affected by a constant offset.
- To clarify noise is referring to the sample Standard deviation and signal is referring to the difference between i's sample mean and the best sample mean.
- However, the fact that a sample standard deviation is used, rather than the unknown population standard deviation, complicates the mathematics of finding the probability distribution of a Studentized statistic.
- Depending on the type of variation chart used, the average sample range or the average sample standard deviation is used to derive the X-bar chart's control limits.
- The following is an efficient method, known as the " Koay inversion technique " . for solving the estimating equations, based on the sample mean and the sample standard deviation, simultaneously.
- Because these 16 runners are a sample from the population of 9, 732 runners, 37.25 is the sample mean, and 10.23 is the sample standard deviation, s.
- In the special case of " Z "-tests for the one or two sample location problem, the usual sample standard deviation is only appropriate if the data were collected as an independent sample.
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