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A set of values is said to be relatively uniform if it has_______.
- a)High Dispersion
- b)Zero Dispersion
- c)Low Dispersion
- d)Negative Dispersion
Correct answer is option 'C'. Can you explain this answer?
Most Upvoted Answer
A set of values is said to be relatively uniform if it has_______.a)Hi...
Explanation:
To understand why a set of values is said to be relatively uniform if it has low dispersion, let's first define what dispersion means in the context of statistics. Dispersion refers to the degree of spread or variability in a dataset. It provides information about how much the values deviate from the central tendency (mean, median, or mode) of the dataset.
Low Dispersion
When a set of values has low dispersion, it means that the values are closely clustered around the central tendency. In other words, there is little variation or spread among the values in the dataset. This can be visualized by a narrow distribution or a small range of values.
Relatively Uniform
When we say that a set of values is relatively uniform, we mean that the values are evenly distributed or balanced. In this context, uniformity refers to an equal representation of values across the dataset. This can be visualized by a histogram or bar chart where each category or bin has a similar frequency or count.
Connection between Low Dispersion and Relatively Uniform
Now, the connection between low dispersion and relatively uniform becomes evident. If a set of values has low dispersion, it means that the values are closely clustered or have little variation. In this case, the values are likely to be evenly distributed or relatively uniform across the dataset.
Answer: Option C - Low Dispersion
Therefore, a set of values is said to be relatively uniform if it has low dispersion. This implies that the values are evenly distributed, and there is little variation or spread among them.
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A set of values is said to be relatively uniform if it has_______.a)Hi...
Dispersion refers to the extent to which the values in a dataset are spread out or scattered around a central value. It is a measure of the variability or spread of the data points.
When a set of values is described as being relatively uniform, it means that the values are close to each other and do not vary greatly. In other words, there is little variability or spread among the values.
Low dispersion indicates that the data points are tightly clustered around a central value, such as the mean or median. This suggests that the values in the dataset are similar or have similar magnitudes, resulting in a more uniform distribution.
On the other hand, high dispersion refers to a dataset with values that are more spread out or widely scattered. This implies greater variability or differences among the data points.
Therefore, a set of values is said to be relatively uniform if it has low dispersion. The values are close to each other, indicating little variability or spread among the data points.
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A set of values is said to be relatively uniform if it has_______.a)High Dispersionb)Zero Dispersionc)Low Dispersiond)Negative DispersionCorrect answer is option 'C'. Can you explain this answer?
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