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Each outlier is a single point in the outcome space.
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∙ 10y ago
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Can outliers affect the symmetry of the data?
an outliers can affect the symmetry of the data because u can still move around it
What is the term that is used to describe data that does not fit with the rest of the data?
Outliers
How do you Create a box plot of data that does not have any outliers?
Go into your data to determine which values are outliers and if they're significant and random (not an apparent group), eliminate them. This will take them out of your boxplot.
Advantages and disadvantages of mean in statistics?
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
When the median and mean are substantially different what does that tell you about the data?
I think it means that our data includes outliers.
What is the primary disadvantage of using the range to compare the variability of data sets?
The range is very sensitive to outliers. Indeed if there are outliers then the range will be unrelated to any other elements of the sample.
Can there be 2 outliers in a set of data?
There is no limit to the number of outliers there can be in a set of data.
Does outliers affects data?
No. Outliers are part of the data and do not affect them. They will, however, affect statistics based on the data and inferences based on the data.
Can outliers affect the symmetry of the data?
an outliers can affect the symmetry of the data because u can still move around it
Is the median particularly sensitive to outliers in the data?
It is not.
What is the term that is used to describe data that does not fit with the rest of the data?
Outliers
Do they have outliers in a data set?
If the data numbers are all really close together than no. But if the data has numbers; for example: 12,43,45,51,57,62,90 (12 and 90 are the outliers) which are really far aprt, than yes.
What do outliers indicate?
In statistics, outliers are values outside the norm relative to the rest of collected data. Many times they can skew the results and distort the interpretation of data. They may or may not indicate anything significant; they might just be an anomalous data point that is not significant. It is difficult to tell.
How do you Create a box plot of data that does not have any outliers?
Go into your data to determine which values are outliers and if they're significant and random (not an apparent group), eliminate them. This will take them out of your boxplot.
What data that does not fit well with the rest of a data set.?
They are called extreme values or outliers.
When is each measure of central tendency most useful?
Mode: Data are qualitative or categoric. Median: Quantitative data with outliers - particularly if the distribution is skew. Mean: Quantitative data without outliers, or else approx symmetrical.
When the median and mean are substantially different what does that tell you about the data?
I think it means that our data includes outliers.
