Advantages and Disadvantages of Mean, Median, Mode.

_______is called a data set containing all members of a specified group.

________ is a data set that contains a part, or a subset of a population.

Mean does not require sorting of data, as sorting of data is costly so it can be used for __________numeric data.

The mean cannot be calculated for ________ data, as the values cannot be summed.

Median is __________ by the outliers and for a symmetric distribution, the mean _________median.

In skewed data, the mean lies further towards the ______ then the median.

Median is ________affected by outliers and skewed data.

Median cannot be identified for the _________ nominal data, as it cannot be logically ordered.

Is it possible for the data set to be multimodal (have more than one mode) ?

Mode can be obtained for _____________ data. Can be graphically represented with a ____________.

For floating data it will be difficult to calculate the _____.

Range is ____________ to outliers and does not use all the observations in a data set.

What can be used as a measure of variability if the extreme values are not being recorded exactly?

IQR is ___________ by extreme values.

The advantage of variance is that it treats all deviations from the mean the same regardless of their direction. The squared deviations cannot sum to zero and give the appearance of no variability at all in the data.

Variance gives added weight to outliers, the numbers that are far from the mean. Squaring these numbers can skew the data.

Variance is not easily interpreted as we square the data, changing its dimensions from original one.

Standard Deviation can be used to detect ___________.