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What does a box and whisker chart show?
It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.
When should you throw out an outliers?
If the result is 1.5 x Inter Quartile Range (or more) above the Upper Quartile or 1.5 x Inter Quartile Range (or more) below the Lower Quartile.
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 are the five points of a box and whiskers graph?
Both ends of the the box (the "whiskers") plot determine the range of your data, without including outliers. (Outliers are marked by an asterisk). The end of the left side of the box is the lower quartile. The line in the box is the median. The other end of the box represent the upper quartile.
What is data which is more than 1.5 times the inter quartile range away from the quartiles?
These are sometimes considered outliers but there is no formal definition for them.
What does a box and whisker chart show?
It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.
When should you throw out an outliers?
If the result is 1.5 x Inter Quartile Range (or more) above the Upper Quartile or 1.5 x Inter Quartile Range (or more) below the Lower Quartile.
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 range of the data set in the box and whisker plot?
The whiskers go from the minimum to the maximum though outliers may be excluded. The box, itself, goes from the lower quartile to the upper quartile.
What are the five points of a box and whiskers graph?
Both ends of the the box (the "whiskers") plot determine the range of your data, without including outliers. (Outliers are marked by an asterisk). The end of the left side of the box is the lower quartile. The line in the box is the median. The other end of the box represent the upper quartile.
When to use quartile deviation?
When you are looking for a simple measure of the spread of the data, but one which is protected from the effects of extreme values (outliers).
What are the 5 values for a box plot?
They are 1: the minimum 2: the lower quartile 3: the median 4: the upper quartile 5: the maximum. Sometimes the extrema (minimum and maximum) are plotted AFTER excluding outliers.
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.
What is data which is more than 1.5 times the inter quartile range away from the quartiles?
These are sometimes considered outliers but there is no formal definition for them.
What is the outlier in 64 67 68 69 73 75 79?
There is no agreed definition of outliers. However two common criteria to identify outliers are: Method I: If Q1 is the lower quartile and Q3 the upper quartile then any number smaller than Q1 - 1.5*(Q3 - Q1) or larger than Q3 + 1.5*(Q3 - Q1) is an outlier. By that criterion there is no outlier. Method II: Assume the numbers are normally distributed. then outliers are with absolute z-scores greater than 1.96. Again, there are no outliers.
What is resistant measure?
Ohms
What is the relation between quartile deviation and standard deviation?
Strictly speaking, none. A quartile deviation is a quick and easy method to get a measure of the spread which takes account of only some of the data. The standard deviation is a detailed measure which uses all the data. Also, because the standard deviation uses all the observations it can be unduly influenced by any outliers in the data. On the other hand, because the quartile deviation ignores the smallest 25% and the largest 25% of of the observations, there are no outliers.
