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Q: What is the mean mode median standard deviation and standard error of 10 24 35 44 10 and 35?

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The mean, median, and mode of a normal distribution are equal; in this case, 22. The standard deviation has no bearing on this question.

From what ive gathered standard error is how relative to the population some data is, such as how relative an answer is to men or to women. The lower the standard error the more meaningful to the population the data is. Standard deviation is how different sets of data vary between each other, sort of like the mean. * * * * * Not true! Standard deviation is a property of the whole population or distribution. Standard error applies to a sample taken from the population and is an estimate for the standard deviation.

When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.

Information is not sufficient to find mean deviation and standard deviation.

Standard deviation can be greater than the mean.

Related questions

In the same way that you calculate mean and median that are greater than the standard deviation!

Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.

msd 0.560

characteristics of mean

The mean deviation from the median is equal to the mean minus the median.

The mean, median, and mode of a normal distribution are equal; in this case, 22. The standard deviation has no bearing on this question.

mean | 32 median | 32 standard deviation | 4.472 ========================================================================

3 (mean − median) / standard deviation.

The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.

Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.

mean

Let sigma = standard deviation. Standard error (of the sample mean) = sigma / square root of (n), where n is the sample size. Since you are dividing the standard deviation by a positive number greater than 1, the standard error is always smaller than the standard deviation.

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