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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
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It does not affect the median.
What else can I help you with?
How does an outlier affect data?
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.
Why does an outlier affect the mean more than the median or mode?
An outlier affects the mean the most because... It doesn't affect the median much because it's really just another number in a sequence. The median has almost nothing to do with the actual value of the numbers because it's only the middle number in a sequence that's in order from least to greatest. It doesn't affect the mode very much because, again, it's really just another number in a sequence. The mode is only the umber that occurs most often in a sequence. It also has nothing to do with the actual value of the numbers in the sequence. It does affect the mean because an outlier is a number in a sequence outside of the limits (a totally different process that I will not explain). That means it's either lower than the lowest number within the limits or higher than the highest number within the limits. The mean is the average. To find the mean/average, you add up all of the numbers in a sequence and divide the sum by the amount of numbers in the sequence. If the outlier is lower than the limits, than the mean will be lower. If the outlier is higher than the limits, than the mean will be higher. The mean is the only one in this list of math terms (mean, median, and mode) that DOES have to do with the values of the numbers. I hope I was able to help you somehow :)
What five numbers have a range of 5 a median of 16 and a mean of 15?
What Five Numbers have a range of 5 a median of 16 and a mean of 15
Find the mean,median,mode and range of the following values:17,7,11,13,2,12,7.?
What is the answer
When is the median more useful than the mean?
When the distribution has outliers. They will skew the mean but will not affect the median.
How does outlier affect mean median mode?
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.
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.
How does the outlier affect the mean median mode?
An outlier can increase or decrease the mean and median It usually doesn't affect the mode
How does the outlier affect the mean and median?
The mean is better than the median when there are outliers.
How does an outlier affect data?
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.
How would the outlier affect the mean and median of the data?
An outlier will pull the mean and median towards itself. The extent to which the mean is affected will depend on the number of observations as well as the magnitude of the outlier. The median will change by a half-step.
What does the outlier affect the most out of mean median and mode?
The mean. Or the mode.
What is the outlier of the mean median and mode?
The median and mode cannot be outliers. For small samples a mode could be an outlier.
Between Mean Median and Mode which are affected most by an outlier?
The mean is affected the most by an outlier.
How does the outlier change the mean median mode and range with these numbers 5 13 13 15 18 20 20 20?
Mean: 15.5 Median: 16.5 Mode: 20 Range: 15
Does the outlier affect the mean median and mode?
Yes, no, and no. The mean uses all numbers so it WILL be influenced by an outlier (sometimes heavily). The median is the middle number, so it can't be. The mode is the most frequent number, so it really can't be.
How does the outlier effect the mean median and mode in a set of data?
There would be a difference to the median. The old number wouldn't be the median but the mode wouldn't change. If the outlier is a high value, it will cause the mean value to shift to the higher side, while a low valued outlier will drop the mean value to a lower number.
