Question

The variance and standard deviation describe the amount of spread, dispersion, or variability of

the items in a distribution
1. How can we describe the spread or dispersion in a probability distribution?

2. How can we calculate the spread or dispersion in a probability distribution?

3. How do we interpret the spread or dispersion in a probability distribution?​

Answer 1

Step-by-step explanation:

In statistics, dispersion (also called variability, scatter, or spread) is the extent to which a distribution is stretched or squeezed. Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range.

Answer 2

Answer:

1. It describes the variability or scatterness of the data

2. Various measures are: range, quartile deviation, mean deviation and standard deviation (absolute measures).

The relative measures are coefficient of range, coefficient of quartile deviation, coefficient of mean deviation and coefficient of variation.

3. The interpretation is mainy done using coefficient of variation

Step-by-step explanation:

1.

• It describes the variability or scatterness of the data.
• It indicates how the values in a distribution differ from the central values
• Other measures can also be used to interpret like the relative measures of dispersion but the one mainly used is coefficient of variation

2.

• Various measures are: range, quartile deviation, mean deviation and standard deviation (absolute measures).
• The relative measures are coefficient of range, coefficient of quartile deviation, coefficient of mean deviation and coefficient of variation.

3.

• The interpretation is mainy done using coefficient of variation.
• if coefficient of variation is greater it indicates greater variability among the values of data
• If coefficient of variation is less then data is said to be more consistent