Correct option is C
Explanation:
Measures of dispersion quantify the extent of variation or spread in a dataset. The correct measures include:
- A. Standard Deviation:
- Represents the average distance of each data point from the mean.
- B. Quartile Deviation:
- Also known as the semi-interquartile range, it measures the spread of the middle 50% of the data.
- D. Variance:
- Represents the average of the squared deviations from the mean and is a foundational measure of dispersion.
- E. Range:
- The difference between the maximum and minimum values in a dataset.
Information Booster :
· Measures of dispersion help identify the degree of spread in data, which can highlight how consistent or variable the data is.
· In analysis, dispersion is useful for:
o Assessing reliability: Low dispersion (e.g., small standard deviation) suggests data points are close to the mean, indicating consistency.
o Comparing datasets: It helps compare how spread out two datasets are, even if their means are similar.
o Identifying outliers: High dispersion can signal the presence of outliers or extreme values in the data.
Additional Information (Incorrect Option):
- C. Mode:
- Represents the most frequently occurring value in a dataset.
- It is a measure of central tendency, not dispersion.