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Sagot :
Answer:
The mean absolute deviation is the arithmetic average of the absolute deviation of all sample data around the mean. ... MAD = (∑|Xi-(X-bar)|/n. The variance is defined as the average of the squared deviations from the mean.
The variability of a data set as measured by the number R=xmax−xmin. The variability of sample data as measured by the number √Σ(x−ˉx)2n−1. The variability of population data as measured by the number σ2=Σ(x−μ)2N.
1. •°•°•°•°•
Range = the difference between the highest and lowest numbers.
Variance = how spread out (far away) a number is from the mean.
Standard Deviation = loosely defined as the average amount a number differs from the mean.
ABSOLUTE DEVIATION
The average absolute deviation of a data set is the average of the absolute deviations from a central point. It is a summary statistic of statistical dispersion or variability.
MEAN
add all the member then divide by the amount of numbers.
2.★★★
The measures of variability allows us to know how spread our scores/ data ma'am. The measures of variability for ungrouped and grouped data ma'am are range, mean deviation, variance, and standard deviation.


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