Assertion (A) : There is a positive co-relation between literacy and primary education. Reason (R) : It has been found that total literate districts have shown increase in enrolment at primary level. Codes :
Assertion Analysis: Literacy and Primary Education
Assertion (A) states there is a positive co-relation between literacy and primary education. This is generally accepted, as improved access to and completion of primary education contributes significantly to increasing literacy rates, and higher literacy levels often reflect better educational infrastructure and outcomes at the primary level.
Reason Analysis: Enrollment in Literate Districts
Reason (R) provides supporting evidence: total literate districts have shown an increase in enrollment at the primary level. This observation directly links higher overall literacy achievement in a district with greater participation in primary schooling, reinforcing the connection mentioned in the Assertion.
Explanation of Correlation
Reason (R) serves as a valid explanation for Assertion (A). The finding that districts with higher literacy rates also experience increased primary school enrollment demonstrates a practical, observable link between the two concepts. This suggests that improvements in primary education are a factor in achieving higher literacy, and conversely, areas with established higher literacy often show stronger primary education engagement.
Conclusion
Based on the analysis:
- Assertion (A) is correct: A positive correlation exists.
- Reason (R) is correct: Literate districts show higher primary enrollment.
- Reason (R) correctly explains Assertion (A): The evidence in (R) supports the claimed correlation in (A).
Therefore, both statements are correct, and (R) is the correct explanation of (A).
Important Questions from Correlation Analysis - Teaching
- Arrange the following in terms of increasing order of the minimum number of variables required for their
computation:
A. Mean
B. First order correlation
C. Correlation coefficient
D. Second order correlation
Choose the correct answer from the options given below: - Which of the following correlation coefficient represents the variables with the weakest degree of relationship?
- Match List I with List IIChoose the correct answer from the options given below:
LIST I LIST II A. An inferential test used to determine effect size for a chi-square test; the correlation used when both measured variables are dichotomous and nominal I. Point-biserial correlation coefficient B. The correlation used when one of its variables is measured on a dichotomous nominal scale and the other is measured on an interval or ratio scale II. Regression analysis C. A procedure that allows to predict an individual's score on one variable based on knowing one or more variables III. Partial correlation D. A correlational technique that involves measuring three variables and then statistically removing the effect of the third variable from the correlation of the remaining two variables IV. Phi-coefficient - Which of the following is correct about correlation coefficient
A. The Pearson correlation is used to score variables
B. The Spearman correlation is used for nominal variable
C. The numerical size of the correlation ranges from -0.1 to +0.1
D. The Spearman correlation is used for internal variable
Choose the correct answer from the options given below: - In a study, a researcher wants to eliminate the effect of one variable in a bid to find out the pure relationship between two variables of his/her interest. He/She should be advised to use which of the following methods of computing coefficient of correlation ?
