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What is the formula for the standard error of the median for small samples?
Wiki User
∙ 15y ago
1.25 * Std error of the mean(SEM) = 1.25*sigma/sqrt(N)
Wiki User
∙ 15y ago
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How does sample size affect the size of your standard error?
The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.
Which of the following samples will produce the largest value for the estimated standard error?
A small sample size and a large sample variance.
The standard error of the mean is the standard deviation of the sampling distribution of the sample mean?
a large number of samples of size 50 were selected at random from a normal population with mean and variance.The mean and standard error of the sampling distribution of the sample mean were obtain 2500 and 4 respectivly.Find the mean and varince of the population?
What is the standard error if the population standard deviation is 100 and the sample size is 25?
Formula for standard error (SEM) is standard deviation divided by the square root of the sample size, or s/sqrt(n). SEM = 100/sqrt25 = 100/5 = 20.
Difference between standard error and sampling error?
Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.
How do you calculate the error of a median for a non-parametric distribution?
You would need to take repeated samples, find their median and then calculate the standard error of these values.
How does sample size affect the size of your standard error?
The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.
What is the mean mode median standard deviation and standard error of 10 24 35 44 10 and 35?
Mean: 26.33 Median: 29.5 Mode: 10, 35 Standard Deviation: 14.1515 Standard Error: 5.7773
Which of the following samples will produce the largest value for the estimated standard error?
A small sample size and a large sample variance.
The standard error of the mean is the standard deviation of the sampling distribution of the sample mean?
a large number of samples of size 50 were selected at random from a normal population with mean and variance.The mean and standard error of the sampling distribution of the sample mean were obtain 2500 and 4 respectivly.Find the mean and varince of the population?
What is the standard error if the population standard deviation is 100 and the sample size is 25?
Formula for standard error (SEM) is standard deviation divided by the square root of the sample size, or s/sqrt(n). SEM = 100/sqrt25 = 100/5 = 20.
Difference between standard error and sampling error?
Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.
A common formula error?
There are two common formula errors. One error is that the formula is read wrong. The other error is that the formula is written down incorrectly.
What is the relationship of the standard error of the mean to the standard error of the difference?
It would help to know the standard error of the difference between what elements.
What is the fractional error formula?
What is the formula for percent fractional error? (Physics)
Is accuracy or precision related to standard error?
Standard error is a measure of precision.
Why is standard deviation of a statistic called standard error?
The standard error is the standard deviation divided by the square root of the sample size.
