Question

Question 1: If we were to divide 1 point
the standard deviation of a
population by the mean of the
same population and multiply
this value by 100 we would
have calculated
of
the population.
O Standard deviation and Variance
Coefficient of Variance
O Range
O Mean deviation​

Answer 1

Answer:

please answer As soon as possible

Answer 2

Answer:

If we were to divide the standard deviation of a population by the mean of the same population and multiply this value by 100, we would have calculated the coefficient of variance of the population.

Standard Deviation:

• Standard deviation is the measure of how far the data is spread from the mean value.
• A small value of the standard deviation means that the data is less spread out.
• A high value of the standard deviation means that the data is more spread out.

Mean:

• Mean is defined as the average value of a given set of data.
• It is calculated by dividing the sum of all the observations by the number of total observations.

Coefficient of Variance:

• Coefficient of variance is a statistical measure of the relative dispersion of data points in a data series around the mean.
• It is calculated as the ratio of standard deviation to the mean value.
• A high value of the coefficient of variance implies more dispersion.
• A low value of the coefficient of variance implies less dispersion.

Therefore, when the standard deviation is divided by the mean and then multiplied by 100, we get the coefficient of variance.

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