NTA UGC NET Dec 2023 Paper-1
January 8, 2024NTA UGC NET Dec 2023 Paper-1
January 8, 2024NTA UGC NET Dec 2023 Paper-1
| Question 8 |
Given below are two statements:
Statement (I): Pearson’s coefficient of correlation ‘r’ is a very useful measure of the strength and direction of the relationship between two nominal variables.
Statement (II): Pearson’s coefficient of correlation ‘r’ always lies between 0 and 1
In the light of the above statements, choose the most appropriate answer from the options given below:
Statement (I): Pearson’s coefficient of correlation ‘r’ is a very useful measure of the strength and direction of the relationship between two nominal variables.
Statement (II): Pearson’s coefficient of correlation ‘r’ always lies between 0 and 1
In the light of the above statements, choose the most appropriate answer from the options given below:
| Both statement I and Statement II are correct | |
| Both statement I and Statement II are incorrect | |
| Statement I is incorrect but Statement II are correct | |
| Statement I is correct but Statement II are incorrect |
Question 8 Explanation:
Statement I is incorrect because Pearson’s coefficient of correlation ‘r’ is typically used for measuring the strength and direction of the relationship between two continuous variables, not nominal variables.
Statement II is incorrect because the range of Pearson’s correlation coefficient ‘r’ is from -1 to 1, not 0 to 1. A correlation of 1 indicates a perfect positive linear relationship, -1 indicates a perfect negative linear relationship, and 0 indicates no linear relationship.
Statement II is incorrect because the range of Pearson’s correlation coefficient ‘r’ is from -1 to 1, not 0 to 1. A correlation of 1 indicates a perfect positive linear relationship, -1 indicates a perfect negative linear relationship, and 0 indicates no linear relationship.
Correct Answer: D
Question 8 Explanation:
Statement I is incorrect because Pearson’s coefficient of correlation ‘r’ is typically used for measuring the strength and direction of the relationship between two continuous variables, not nominal variables.
Statement II is incorrect because the range of Pearson’s correlation coefficient ‘r’ is from -1 to 1, not 0 to 1. A correlation of 1 indicates a perfect positive linear relationship, -1 indicates a perfect negative linear relationship, and 0 indicates no linear relationship.
Statement II is incorrect because the range of Pearson’s correlation coefficient ‘r’ is from -1 to 1, not 0 to 1. A correlation of 1 indicates a perfect positive linear relationship, -1 indicates a perfect negative linear relationship, and 0 indicates no linear relationship.