Respuesta :
Answer:
Step-by-step explanation:
Variance: measure of spread around the mean, but its units are not the same as those of the data points
Median: It always has exactly 50% of the observations on either side
IQR: gives the spread of the central 50% of the dataset
Range: it is the measure of spread that is most affected by outliers ( extremely values)
Standard deviation: is smaller for the distributions where the points are clustered around the middle
Mode: it represent most common observations, or class of observations
Mean: distance from the data points to the mean always add up to zero i:e summation (x - μ) always add up to zero where x is each data and μ is the mean.
The correct description of the given terms would be:
- A. Variance
- B. Median
- C, Interquartile Range
- D, Range
- E. Standard deviation
- F. Mode
- G. Mean
The aforementioned items are all related to the area of statistics and they are used to measure and represent data from a list of data as they are used to show data is distributed.
With this in mind, we can see that interquartile range for example has to do with the coverage of 50% of data which is found in the middle and they have lower and upper points.
Read more about interquartile range here:
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