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What is a measure of the width of a distribution of a set of numbers that includes the range the iqr and standard deviation?

The width of a distribution can be measured using several metrics, including range, interquartile range (IQR), and standard deviation. The range provides the difference between the maximum and minimum values, while the IQR represents the spread of the middle 50% of the data, indicating variability without being affected by outliers. Standard deviation quantifies the average distance of each data point from the mean, offering insights into the overall dispersion of the dataset. Together, these measures provide a comprehensive view of the distribution's width and variability.


What are two ways to measure flexibility?

flexibility is measured by the range of motion and the range of motion and the range of movements is measured by using a goniometer.....


What is the disadvantage of using the range to compare the variability of data sets?

The range depends only on the two extreme values. It does not distinguish between the cases where the remaining values are all clustered around the middle, or all are at either extreme or are evenly spread out between the extremes, or distributed according to some other pattern.


What is the measure of an angle using a protractor?

A protractor is a tool that may be used to measure an angle. The measure of the angle exists irrespective of the tool that is used to measure it. In the same way that you have a height and your height is a [mainly] fixed amount and whether it is measured with a rule or a tape measure or a laser range finder does not affect your height!


What does spread mean in math?

In mathematics, "spread" often refers to the range of a set of values or the extent of variation within a dataset. It can be quantified using different measures, such as the range (the difference between the highest and lowest values), variance, or standard deviation, which indicate how much the data points differ from the mean. Understanding the spread helps in analyzing the distribution and variability of data in statistics.

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