If you compute the arithmetic mean, the sum of deviations of scores from that mean are always equal to: a) 1 b) 0 c) 0 or a positive number d) a squared number e) none of the above
If you compute the arithmetic mean, the sum of deviations of scores from that mean are always equal to: a) 1 b) 0 c) 0 or a positive number d) a squared number e) none of the above
If you compute the arithmetic mean, the sum of deviations of scores from that mean are always equal to: a) 1 b) 0 c) 0 or a positive number d) a squared number e) none of the above
. If you compute the arithmetic mean, the sum of deviations of scores from that mean are always equal to:
a) 1
b) 0
c) 0 or a positive number
d) a squared number
e) none of the above
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
Expert Solution
Step 1
Introduction:
Consider a data set that consists of n observations, x1, x2, ..., xn.
The arithmetic mean of these observations is given by the formula:
x̅ = (Σ xi) / n, where the sum is taken over all i = 1, 2, ..., n.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
