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What else can I help you with?
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.
Outlier is unusually small or large data value?
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.
What statement about the data is true 724 727 996 712 725 704 730 710 Both the median and mode are appropriate measures of center. The median is the only appropriate measure of center. The mean media?
In this dataset, the median and mode are both appropriate measures of center. The median is the middle value when the numbers are arranged in numerical order, while the mode is the value that appears most frequently. The mean, or average, can also be calculated for this dataset, but it is not mentioned in the given options.
Is it possible for the mean and the median of a set of data to be the same data?
no it can not because if you try to do it then i cannot be the same answer
Can a mean average ever be higher than a median average?
Yes. If the predominant data are higher than the median, the mean average will be higher than the median average. For example, the median average of the numbers one through ten is five. The mean average is five and one-half.
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.
Which of the following is least affected if an extreme high outlier is added to your data mean median or standard deviation or ALL?
The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.
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 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 does an outliner affect the median of a set of data?
An outlier can significantly affect the median of a data set, although its impact is less pronounced compared to measures like the mean. The median is the middle value when data is arranged in order, so if an outlier is added or removed, it may not change the median unless it is situated among the middle values. For instance, in a data set with an odd number of values, an extreme outlier at one end will not affect the median as long as it does not enter the central position. However, in a smaller data set, the presence of an outlier can shift the median if it changes the arrangement of the middle values.
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
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.
How does the outlier affect the mean and median?
The mean is better than the median when there are outliers.
Between Mean Median and Mode which are affected most by an outlier?
The mean is affected the most by an outlier.
How does an outlier affect the mean and media for a data set?
An outlier can significantly affect the mean of a data set by pulling it in the direction of the outlier, leading to a potentially misleading representation of the central tendency. In contrast, the median, which is the middle value of a sorted data set, is less affected by outliers, providing a more robust measure of central tendency. Therefore, while the mean may change dramatically with the presence of an outlier, the median remains relatively stable, making it a preferred measure in skewed distributions.
What happens to the mean median and mode for the data shown if the outlier is eliminated 8 3 5 3 23 4 7?
The mean and median become smaller, the mode does not change.
