Q: How do you determine how the outlier affects the mean median mode and range?

Write your answer...

Submit

Still have questions?

Continue Learning about Math & Arithmetic

The Interquartile Range because it affects how much space is left between the median on either side....So there you go! I hope that I helped You... : D

an outlier can be found with this formula... Q3-Q1= IQR( inner quartile range) IQR*1.5=x x+Q3= anything higher than this # is an outlier Q1-x= anything smaller than this # is an outlier

1,2,3,4,20 20 is the outlier range

An outlier, in a set of data, is an observation whose value is distant from other observations. There is no exact definition but one commonly used definition is any value that lies outside of Median Â± 3*IQR IQR = Inter-Quartile Range.

There is no agreed definition of an outlier. There are some definitions based on the median (Q2) and the quartiles Q1, and Q3.Let the inter-quartile range, IQR = Q3 - Q1.A number is a n outlier if it is:less than Q1 - k*IQR orgreater than Q3 + k*IQR.A popular choice for k is 1.5

Related questions

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 Interquartile Range because it affects how much space is left between the median on either side....So there you go! I hope that I helped You... : D

an outlier can be found with this formula... Q3-Q1= IQR( inner quartile range) IQR*1.5=x x+Q3= anything higher than this # is an outlier Q1-x= anything smaller than this # is an outlier

Mean: 15.5 Median: 16.5 Mode: 20 Range: 15

1,2,3,4,20 20 is the outlier range

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

An outlier, in a set of data, is an observation whose value is distant from other observations. There is no exact definition but one commonly used definition is any value that lies outside of Median Â± 3*IQR IQR = Inter-Quartile Range.

There is no agreed definition of an outlier. There are some definitions based on the median (Q2) and the quartiles Q1, and Q3.Let the inter-quartile range, IQR = Q3 - Q1.A number is a n outlier if it is:less than Q1 - k*IQR orgreater than Q3 + k*IQR.A popular choice for k is 1.5

On the standard deviation. It has no effect on the IQR.

Range is the largest minus the smallest value in the data set. An outlier is a value that is far away from the majority of the data.

Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.

An outlier is 1.5 times the mean, when you are taking an average it may give an inaccurate representation of the data. It usually does not affect the median.* * * * * The above definition of an outlier is total rubbish! It is necessary to have a measure of the central tendency (mean or median) AND spread (standard deviation or inter quartile range - IQR) to define an outlier.If Q1 and Q3 are the lower and upper quartiles, then outliers are normally defined as observations lying below Q1 - k*IQR or above Q3 + k*IQR. There is no universally agreed definition of outliers and hence no fixed value for k. But k = 1.5 is often used.