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The answer will depend on what PLOT A and PLOT B are. But since you have chosen not to provide that information the answer is

Q: How does the addition of a possible outlier on PLOT B affect the center of PLOT B relative to the center of PLOT A?

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Yes.

it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.

The outlier is capable of affecting mean median mode and range it affects mean because the average has changed if affects median because you have to cross out 1 more letter it doesn't affect mode it does affect range because an outlier is a number that i far away from the other numbers * * * * * It does not affect the median.

The outlier 57 affects the measure of central tendency by increasing the numbers and making the problems difficult.

Range subtracts the lowest value from the value in your data set. If you have an outlier, meaning a number either obviously outside the data, your range will be incorrect because one of the values will not represent the average pattern of the data. For example: if your data values include 1,2,3,4,and 17, 17 would be the outlier. The range would be 16 which is not truly representative of the rest of the data.

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An outlier pulls the mean towards it. It does not affect the median and only affects the mode if the mode is itself the outlier.

An outlier can increase or decrease the mean and median It usually doesn't affect the mode

The outlier skews the mean towards it.

An outlier can significantly impact the median by pulling it towards the extreme value of the outlier, especially when the dataset is small. This can distort the central tendency measure that the median represents and provide a misleading representation of the typical value in the dataset.

Yes.

The outlier could affect the mean by making it drastically larger or smaller.

Outlier: an observation that is very different from the rest of the data.How does this affect the data: outliers affect data because it means that your calculations might be off which makes it a possibility that more than the outlier is off.

it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.

An outlier will have a huge affect on the range as the range is the largest value minus the smallest value.

No. The IQR is a resistant measurement.

An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).

Yes, they would.