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.
None. The data set has no elements and so there cannot be any central tendency.
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When a data set has an outlier, the median is often the best measure of center to describe the data. This is because the median is resistant to extreme values and provides a better representation of the central tendency in the presence of outliers. In contrast, the mean can be significantly skewed by outliers, making it less reliable in such cases.
The mode is often the least used measure to describe a data set because it only identifies the most frequently occurring value, which may not provide a comprehensive understanding of the data's distribution. Unlike the mean and median, the mode can be less informative, especially in datasets with multiple modes or no repeating values. Additionally, in many cases, the mean and median offer a better representation of central tendency, particularly in skewed distributions, making them more commonly referenced in statistical analysis.
It describes it by showing an example of measures that is equal to a number down in a variations of sequaled numbers.
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.
None. The data set has no elements and so there cannot be any central tendency.
It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.
jnjnnin
You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.
Metadata is the text used to describe data. It provides information such as data source, data type, date created, and any other relevant details about the data set. Metadata helps users understand and interpret the data accurately.
what is used to describe data and what is used to display data in compuier
The standard deviation is a measure of the spread of data.
Data definition is the term used to describe expected data value.
They all describe data set or data sets,hey tell you how far apart they are from each other.
xml uses tags to describe data, any computer can then read the data using the tags.