Understanding the mean in research and what it represents
Mean is adding all the numbers and dividing by how numbers you have. Usually it is used to represent the quanity of a set of numbers.
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
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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Statistics is the study of collecting , organizing , and interpreting data!