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.
There are many advantages and disadvantages of variance in statistics. One disadvantage is that you never know what answer you'll get.
the mean is important in statistics because you will find out your average and can compare that mean to other things..
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.
Probability/ 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.
There are many advantages and disadvantages of variance in statistics. One disadvantage is that you never know what answer you'll get.
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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.
In statistics, this is the symbol for the "Variance"
Mean is the average.
the mean is important in statistics because you will find out your average and can compare that mean to other things..
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.
descriptive statistics
They are statistics of central tendency.
What do you mean by statistics? Re-Ask the question.
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