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Two different sets of data that each have six values and a mean of 21 could be:
- Set A: {18, 20, 21, 22, 23, 16} — The sum of these values is 126, and dividing by 6 gives a mean of 21.
- Set B: {15, 25, 20, 22, 23, 14} — This set also sums to 126, resulting in a mean of 21 when divided by 6.
Both sets demonstrate that different combinations of numbers can yield the same mean.
What else can I help you with?
Would you consider two data sets similar or different if they have the same mean median and range but one is positively skewed and other negatively skewed?
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
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.
Do extreme values affect mean?
Yes, extreme values, also known as outliers, can significantly affect the mean of a data set. Since the mean is calculated by summing all values and dividing by the number of values, a single extreme value can disproportionately skew the result. This is why the mean may not always be the best measure of central tendency for data sets with outliers; alternatives like the median can provide a more accurate representation of the typical value.
What values do scientists often use when evaluating data sets?
Those that are statistically significant.
How are 381 and 813 different?
The two sets of digits have different place values.
Is it true that in large data sets the mean is always one of the data values?
No. Here's one set of data where the mean is not one of the values: a set of 250,000 numbers. 125,000 of them are "1", 125,000 are "3". The mean of this data set is "2", which is not among the data.
How can two data sets with different numbers have the same mean median and mode?
(10,10,30,30,30,50,50) (20,20,30,30,30,40,40) These two sets have the same mean, median and mode.
Does all data have a mean median or mode?
No, not all data sets have a mode but all data sets have a mean and median.
What is the relationship between two data sets when their data values increase or decrease together?
It is a positive relationship.
Will a set of data always have a mode?
No, because sometimes sets of data can have different numbers and other sets of data can have modes in them.
Would you consider two data sets similar or different if they have the same mean median and range but one is positively skewed and other negatively skewed?
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
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 characteristics do data sets share when they have the same range?
The minimum and maximum are the same. The mean, median, and mode can be different.
Can you make dual barcharts on Microsoft Excel?
You can have several series which results in lots of bars in sets for different values. The type of chart you have is partially depending on the data you have.
What values do scientists often use when evaluating data sets?
Those that are statistically significant.
How are 381 and 813 different?
The two sets of digits have different place values.
When there is no relationship between two data sets when one set of data values increases while the other decreases?
negative correlation
