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What else can I help you with?
What is an example of a outlier range?
1,2,3,4,20 20 is the outlier range
How do you work out outliers on a box plot?
the number in your piece of data = n lower quartile, n+1 divided by 4 upper quartile, n+1 divded by 4 and times by three interquartile range(IQR) = upper quartile - lower quartile outliers(O) = interquartile range x 1.5 lower than IQR-O is an outlier (h) above IQR+O is an outlier (h) the outliers on your box plot are any numbers that are the value i have named (h) ^
What is considered measures of variabilty is it mean interquartile range or mean absolute deviation?
interquartile range or mean absolute deviation.
How do you determine how the outlier affects the mean median mode and range?
Calculate the mean, median, and range with the outlier, and then again without the outlier. Then find the difference. Mode will be unaffected by an outlier.
What is the best measure of center and measure of variation (spread) to use with a data set that has an outlier?
When a data set has an outlier, the best measure of center to use is the median, as it is less affected by extreme values compared to the mean. For measure of variation (spread), the interquartile range (IQR) is preferable, since it focuses on the middle 50% of the data and is also resistant to outliers. Together, these measures provide a more accurate representation of the data's central tendency and variability.
Does an outlier have a greater effect on the standard deviation or interquartile range?
On the standard deviation. It has no effect on the IQR.
How does the outlier affect the interquartile range of the data?
cuz when it does it gon mess it up in a way where u cant use it no more * * * * * That is a rubbish answer. By definition, all outliers lie outside the interquartile range and therefore cannot affect it.
What is the value of a data set most likely to be affected by an outlier?
The range.
What is the interquartile range of 16171922232527363840404546?
what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46
Why do you multiply the interquartile range by 1.5 to find the outlier?
By definition a quarter of the observations are below the lower quartile and a quarter are above the upper quartile. In all, therefore, half the observations lie outside the interquartile range. Many of these will be more than the inter-quartile range (IQR) away from the median (or mean) and they cannot all be outliers. So you take a larger multiple (1.5 times) of the interquartile range as the boudary for outliers.
Why is the interquartile range a more appropriate measure for spread than the range?
the interquartile range is not sensitive to outliers.
What is an example of a outlier range?
1,2,3,4,20 20 is the outlier range
How does the outlier affect the interquartilerange of data?
Providing that the number of outliers is small compared to sample size, their effect on the interquartile range should be limited since their effects are realised mainly in the extremes of the sample.
How do you work out outliers on a box plot?
the number in your piece of data = n lower quartile, n+1 divided by 4 upper quartile, n+1 divded by 4 and times by three interquartile range(IQR) = upper quartile - lower quartile outliers(O) = interquartile range x 1.5 lower than IQR-O is an outlier (h) above IQR+O is an outlier (h) the outliers on your box plot are any numbers that are the value i have named (h) ^
What is the meaing of interquartile range in math?
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
What is considered measures of variabilty is it mean interquartile range or mean absolute deviation?
interquartile range or mean absolute deviation.
Does a box plot represent an interquartile range?
If presents you with the upper and lower quartile range, although you have to do calculations in order to find the interquartile range, so no, it does not,
