To determine the accurate conclusion from the statements provided, we need to analyze each option based on what is typically understood about study habits and outcomes.
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It is more likely that a student who studied alone will take less time to study overall.
- This statement may be inferred if data supports a correlation between studying alone and less time spent studying. However, the data must specifically show shorter study times for students studying alone for this to be true.
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A student that studies in a group will work faster and study less.
- This statement suggests that studying in a group reduces study time; such a conclusion would also depend on specific data showing a faster pace in group study. Without supporting data, this could be misleading.
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Students who study more than 2 hours account for the largest group surveyed out of the total number surveyed.
- This statement can be verified by looking at the distribution of study hours in the table. If the data shows that the largest portion of students studied for more than 2 hours, this would be an accurate conclusion.
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A student who studies more will do better on tests.
- This conclusion implies a causal relationship between study time and test success, which typically requires additional data to confirm. Correlation does not equal causation.
Without seeing the actual data from the two-way table, it's challenging to definitively determine which statement is accurate. However, based on general principles, statement 3 about students studying more than 2 hours could be potentially verifiable using data.
If the table shows that the majority of students studied more than 2 hours, then the third statement is the most accurate conclusion to draw from that hypothetical scenario.
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