sample means sentence in Hindi
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- The standard deviation of all possible sample means of size 16 is the standard error.
- I think there is another way of understanding what the 72 hour urine sample means.
- Using a larger sample means it takes longer for the fixative to reach the deeper tissue.
- A comparison is then made between the largest and smallest sample means within the largest range.
- Conversely, for the normal distribution, the sample mean is the UMVU estimator of the mean.
- Where n _ A and n _ B represent the sample sizes of the two sample means.
- Note that the result of this will be different from the sample mean of the ungrouped data.
- As will be shown, the mean of all possible sample means is equal to the population mean.
- That is, independent 10-sample means should themselves have a standard deviation of 0.0316.
- For the normal distribution, the Hodges-Lehmann statistic is nearly as efficient as the sample mean.
- Also let, and denote, respectively, the sample means of the, the, and the.
- This percentage quickly increased to 82 % several hours later, 11 times higher than the sample mean.
- Let \ overline { X } and S ^ 2 be the sample mean and the sample variance.
- Where s ^ 2 is the sample variance and \ bar { H } is the sample mean.
- I'm curious though about how the sample mean changes as you increase the number of observations.
- The distribution of both the sample mean and the sample median were determined by Laplace in the early 1800s.
- It is especially useful for discrete data over an unbounded positive range whose sample variance exceeds the sample mean.
- The maximum likelihood estimator only exists for samples for which the sample variance is larger than the sample mean.
- Because of this the usual sample mean ( arithmetic mean ) is a biased estimator of the true mean.
- The Hodges Lehmann estimator is much better than the sample mean when estimating mixtures of normal distributions, also.
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