List - I (Concepts) List - II (Characteristic) (a) Descriptive Statistics (i) Process of generalizations (b) Inferential Statistics (ii) Development of certain indices from the raw data (c) Skewness (iii) Pointing to the nature of distribution of items in middle of series (d) Kurtosis (iv) Showing the manner in which items are clustered around the average
Code :
Match the concepts in List-I with their corresponding characteristics in List-II.
| List-I (Concept) | List-II (Characteristic) | Explanation |
|---|---|---|
| (a) Descriptive Statistics | (i) Process of generalizations | Descriptive statistics summarize raw data, providing the foundation upon which generalizations are made. |
| (b) Inferential Statistics | (ii) Development of certain indices from the raw data | Inferential statistics utilizes indices derived from sample data to make inferences about a larger population. |
| (c) Skewness | (iii) Pointing to the nature of distribution of items in middle of series | Skewness measures asymmetry, affecting the central tendency measures (mean, median, mode) in the distribution's middle section. |
| (d) Kurtosis | (iv) Showing the manner in which items are clustered around the average | Kurtosis quantifies the peakedness or tail heaviness of a distribution relative to the average, indicating data clustering. |
The final matching according to the provided correct answer is: