It is one measure - not the only one - of a "central tendency". It is the same as the "average". To calculate the average, just add all the numbers, and divide the result by the amount of numbers.
standard deviation
In this dataset, the median and mode are both appropriate measures of center. The median is the middle value when the numbers are arranged in numerical order, while the mode is the value that appears most frequently. The mean, or average, can also be calculated for this dataset, but it is not mentioned in the given options.
It is not possible to place 8 arithmetic means between two numbers since they can have only one arithmetic mean not eight! The one-and-only arithmetic mean of 2 and 17 is (2+17)/2 = 9.5
mean
The arithmetic mean is the average of all values. Add all of the values together and divide by the number of values.Suppose you want to find the arithmetic mean of n numbers, which are x1, x2, x3, ... , xn.Then the arithmetic mean = (x1 + x2 + x3 + ... + xn)/n , that is, the sum of all the values whose mean you want, divided by the number of values.Example: values 2, 8, 11The sum of the three is 21, divided by three gives the mean = 7
mean does not mean the center of the data
mean does not mean the center of the data
Yes.
Let me clarify. I only have the arithmetic mean. I don't have the data from which it was determined.
arithmetic mean
The measure of center is a single value that represents the middle or central tendency of a dataset. Common measures of center include the mean, median, and mode, which each describe different aspects of the data's distribution. The choice of measure depends on the characteristics of the data and the specific question being addressed.
There is no meaningful average wen data are categorical (qualitative). Also, the arithmetic mean is not a good measure of central tendency when the data distribution is skewed.
It is the [arithmetic] mean.
The mean. Strictly, the arithmetic mean.
Mean.
An arithmetic mean is a measure of central tendency of a set of values computed by dividing the sum of the values by the number of values.
The quadratic mean is a measure of the spread of values about their arithmetic mean. By definition, the arithmetic mean of the differences will be zero and so adds no information. Another measure is required and that is the quadratic mean.