arithmetic mean

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Related to Sample mean: Sample median

arithmetic mean

an average value of a set of integers, terms, or quantities, expressed as their sum divided by their number

arithmetic mean

[¦a·rith¦med·ik ′mēn]
(mathematics)
The average of a collection of numbers obtained by dividing the sum of the numbers by the quantity of numbers. Also known as arithmetic average; average (av).

arithmetic mean

(mathematics)
The mean of a list of N numbers calculated by dividing their sum by N. The arithmetic mean is appropriate for sets of numbers that are added together or that form an arithmetic series. If all the numbers in the list were changed to their arithmetic mean then their total would stay the same.

For sets of numbers that are multiplied together, the geometric mean is more appropriate.
References in periodicals archive ?
As a first attempt at estimating the sample mean, [?
For layered cases, Figures 5(a) and 5(b) show the normalized discrepancies in sample mean and STD for [E.
The problem in using Sample Mean Estimates (SME) is described followed by the proposed method using Population Mean Estimate.
The bottom window displays the current probability distribution of the sample means as a histogram, the location of the next sample mean (should the same as the location of the sample mean in the top window), the expected normal distribution according to the CLT (the blue bell), as well as the actual and expected means and standard deviations.
However, when the data come from an exponential ([lambda]) distribution, the sample median, and the sample mean are equally efficient.
Table 1 shows the sample mean scores on the Duke subscales compared to the mean scores of two reference populations (Parkerson et al.
9 percent (about the same as the sample mean for 1959-2005), whereas from the inflation-gap model it was 2.
The LLN ensures that as the number of random samples collected from a probability distribution is increased, the sample mean converges to the true population mean, and the CLT guarantees that the sampling distribution of the mean will be Gaussian, provided there are a sufficient number of independent observations.
Sample mean is not equal to population mean but is a good estimate of it.
This reveals that the standardized mean difference between a sample mean and the population mean is typically >MID for a group sample size <25.
When this is done, sample mean rent is a more accurate estimate of population mean rent.
The specimen remnant vectors obtained after laboratory AF demagnetization have been averaged to obtain the sample mean ChRM vectors using Fisher's (1953) method.