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Q: What are the appropriate measures of variability for interval data?
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For interval ratio data the correct measure of central tendency is?

Interval-Ratio can use all three measures, but the most appropriate should be mean unless there is high skew, then median should be used.


What interval would be appropriate to graph data?

Hourly temperature


What interval would be appropriate to graph the data?

The time and the temperature


What is the pattern of a variability within a data set called?

The range, inter-quartile range (IQR), mean absolute deviation [from the mean], variance and standard deviation are some of the many measures of variability.


What is an appropriate scale and interval for a data set in a table?

The answer will depend on the data values: there is no rule that fits all situations.


What two data characteristics are usually measured using numerical descriptive measures?

Variability and Central Tendency (Stats Student)


What is the best measure of variability?

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.


Which is an appropriate display to show the measures of variation for a data set?

There are a number of appropriate displays to show the measures of variation for a data set. Different graphs can be used for this purpose which may include histograms, stemplots, dotplots and boxplots among others.


How does finding the IQR hep you identify the variability of set of data?

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.


Is elevation interval data or ratio?

interval


What measures are used to describe variability?

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.


Why are the measures of dispersion necessary to describe a set of data?

Sets of data have many characteristics. The central location (mean, median) is one measure. But you can have different data sets with the same mean. So a measure of dispersion is used to determine whether there is a little or a lot of variability within the set. Sometimes it is necessary to look at higher order measures like the skewness, kurtosis.