An outlier can be very large or small. its usally 1.5 times the mean. they can be seen with a cat and whisker box * * * * * The answer to the question is YES. "Its usually 1.5 times the mean" is utter rubbish - apart from the typo. If a distribution had a mean of zero, such as the standard Normal distribution, then almost every observation would be greater than 1.5 times the mean = 0 and so almost every observation would be an outlier! No. There is no universally agreed definition for an outlier but one contender is values that are more than 1.5 times the interquartile range away from the median.
A picture graph uses pictures or symbols to show data. One picture often stands for more than one vote so a key is necessary to understand the symbols.
Plural is more than singular. Singular is only one and plural means more than one.
One line can have only one slope. It is possible to draw more than one line on a single graph, however.
3/12 is 50% more than 1/6 .
Yes, any data point outside thestandard deviation its an outlier
Of course. In a large sampling of data, a relatively small group of outliers is possible.
Yes, a data set can have more than one outlier. An outlier is a data point that significantly differs from the rest of the data. The presence of multiple outliers can impact the overall distribution and analysis of the data.
Yes.
There cannot be an outlier in a dataset that comprises only one number!
i can not tell you need to space it out and to find outlier try using a box and whisker plot. and if it is just one number there is no outlier
An outlier looks like a piece of data that does not fit the pattern of most of the data. However just because some data point "looks like an outlier" does not necessarily mean that it is - standards for deciding whether something is an outlier or not varies a lot from course to course (and how accurate you want to be), so one person's outlier is another persons normal data.
Then you treat the other one(s) as you would have done if there was only one.
No, it cannot. It must be at one of the extremes.
The answer will depend on whether the outlier is determined on the basis of one variable or both variables.
oulier means something that sticks out in math, like in the number 50, 51, 53, 54, & 100... 100 is the outlier
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.