📚 Learning Guide
Quantitative Research Methods
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In a study exploring the relationship between education level and income, researchers found a strong correlation. Which of the following statements best explains this finding with respect to correlation vs. causation and descriptive statistics?

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Choose the Best Answer

A

Higher education directly causes higher income.

B

Higher education and higher income may be related, but one does not necessarily cause the other.

C

The relationship is purely coincidental and has no significance.

D

Descriptive statistics show that income is solely dependent on education.

Understanding the Answer

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Answer

The strong correlation found between education level and income suggests that as education increases, income tends to increase as well. However, correlation does not mean that one causes the other. For example, while higher education may lead to better job opportunities and higher salaries, it could also be that people with higher income can afford more education. Descriptive statistics help summarize and describe the data, but they don’t explain the reasons behind the relationship. Therefore, it’s important to be careful not to assume that education directly causes higher income without further research to explore this connection.

Detailed Explanation

This answer is right because it shows that while education and income are linked, one does not make the other happen. Other options are incorrect because This option suggests that education always leads to higher income; This choice claims there is no real connection.

Key Concepts

correlation vs. causation
descriptive statistics
Topic

Quantitative Research Methods

Difficulty

medium level question

Cognitive Level

understand

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