Final answer:
The questions relate to statistical measures describing a dataset, like the range showing the data spread, IQR indicating variability, population variance measuring data point spread in a population, sample standard deviation as a variation measure, and the sample coefficient of variation showing dispersion around the mean.
Step-by-step explanation:
Understanding the Statistical Values
When working with a set of data, it's important to understand various statistical measures to describe and make inferences about the dataset.
Range Value
The range value of a dataset is the difference between the maximum and minimum values. It gives us an idea of the spread of the data.
Interquartile Range (IQR)
The IQR is a measure of variability that describes the middle 50% of values when ordered from lowest to highest. It is calculated as the difference between the third quartile (Q3) and the first quartile (Q1).
Population Variance
Population variance is a measure of how data points in a certain population are spread out. It's the average of the squared differences from the mean.
Sample Standard Deviation
The sample standard deviation is a measure of the amount of variation or dispersion of a set of values. It is derived from the square root of the sample variance.
Sample Coefficient of Variation
The sample coefficient of variation (CV) is a statistical measure of the dispersion of data points in a data series around the mean, and it is expressed as a percentage.