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the mean is affected by outliers
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What are the advantages and disadvantages of data collection methods in statistics?
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
What are the advantanges and disadvantages of variance in statistics?
There are many advantages and disadvantages of variance in statistics. One disadvantage is that you never know what answer you'll get.
Advantages and disadvantages of mean in statistics?
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
What are the importance of the mean in statistics?
the mean is important in statistics because you will find out your average and can compare that mean to other things..
What is differ of mean?
Probability/ Statistics
What are the advantages and disadvantages of data collection methods in statistics?
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
What are the advantanges and disadvantages of variance in statistics?
There are many advantages and disadvantages of variance in statistics. One disadvantage is that you never know what answer you'll get.
What are the advantages and disadvantages of parametric statistics?
no
What are the advantages and disadvantages of inferential statistics?
One advantage of inferential statistics is that large predictions can be made from small data sets. However, if the sample is not representative of the population then the predictions will be incorrect.
What does Sx2 mean in statistics?
In statistics, this is the symbol for the "Variance"
What does mean mean in statistics?
Mean is the average.
What are the importance of the mean in statistics?
the mean is important in statistics because you will find out your average and can compare that mean to other things..
Advantages and disadvantages of mean in statistics?
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
The mean median and mode are examples of what type of statistics?
descriptive statistics
What type of statistics are mean median and mode?
They are statistics of central tendency.
What are the statistics on water-skiing?
What do you mean by statistics? Re-Ask the question.
Do you round the mean in statistics?
no
