Standard deviation would be used in statistics.
Generally, the standard deviation (represented by sigma, an O with a line at the top) would be used to measure variability. The standard deviation represents the average distance of data from the mean. Another measure is variance, which is the standard deviation squared. Lastly, you might use the interquartile range, which is often the range of the middle 50% of the data.
less quality variability,did not have a capacity to do work in more unit.
a tape measure
The answer is 13. x=13 13*5+13*2=91 Thank you.
C) What is the goal of the firm? Discuss how to measure achievement of this goal?
Yes. The greater the range, the greater the variability.
Biodiversity
range
The best measure of variability depends on the specific characteristics of the data. Common measures include the range, standard deviation, and variance. The choice of measure should be made based on the distribution of the data and the research question being addressed.
The IQR gives the range of the middle half of the data and, in that respect, it is a measure of the variability of the data.
It measures the error or variability in predicting Y.
Which measure of variability is the most appropriate for this set of values?13, 42, 104, 36, 28, 6, 17
A measure used to describe the variability of data distribution is the standard deviation. It quantifies the amount of dispersion or spread in a set of values, indicating how much individual data points differ from the mean. A higher standard deviation signifies greater variability, while a lower standard deviation indicates that the data points are closer to the mean. Other measures of variability include variance and range.
the range influences the extreme
Yes.
With the minimum, maximum, and the 25th (Q1), 50th (median), and 75th (Q3) percentiles, you can determine several measures of central tendency and variability. The median serves as a measure of central tendency, while the interquartile range (IQR), calculated as Q3 - Q1, provides a measure of variability. Additionally, you can infer the range (maximum - minimum) as another measure of variability. However, you cannot calculate the mean without more information about the data distribution.
One drawback of using the range as a measure of variability is that it only considers the extreme values in a dataset, which can be heavily influenced by outliers. This makes the range sensitive to fluctuations in the data, potentially providing a misleading representation of the overall spread. Additionally, it does not account for how data points are distributed within the range, leading to a lack of insight into the data's central tendency or variability.