Student Participation in Tutoring Programs by School District Income LevelDistrict median household incomePercentage of students using tutoring servic...
GMAT Information and Ideas : (Ideas) Questions
| District median household income | Percentage of students using tutoring services |
|---|---|
| $35,000 | 18% |
| $48,000 | 23% |
| $61,000 | 31% |
| $78,000 | 28% |
| $95,000 | 37% |
An education policy analyst examining tutoring program effectiveness across socioeconomic levels found that participation rates vary significantly by district income. The analysis reveals that even in the most engaged communities, tutoring program utilization reaches just ______
Which choice most effectively uses data from the table to complete the analyst's observation?
31%.
37%.
23%.
18%.
Step 1: Decode and Map the Passage
Create Passage Analysis Table
| Text from Passage | Analysis |
|---|---|
| 'Student Participation in Tutoring Programs by School District Income Level' |
|
| Table data showing income levels ($35k-$95k) and corresponding tutoring percentages (18%-37%) |
|
| 'An education policy analyst examining tutoring program effectiveness across socioeconomic levels found that participation rates vary significantly by district income.' |
|
| 'The analysis reveals that even in the most engaged communities, tutoring program utilization reaches just ______' |
|
Provide Passage Architecture & Core Elements
Visual Structure Map: TABLE DATA: Income levels: $35k to $48k to $61k to $78k to $95k. Tutoring rates: 18% to 23% to 31% to 28% to 37%. RESEARCH FINDING: Participation varies significantly by district income. SPECIFIC CONCLUSION - INCOMPLETE: Maximum utilization equals blank percent.
Main Point: An analyst's research shows that tutoring participation varies significantly across income levels, with a specific focus on identifying the maximum participation rate achieved.
Argument Flow: The data table provides concrete evidence of tutoring participation rates across five different income brackets. The analyst uses this data to make a broader point about variation across socioeconomic levels, then specifically highlights what the maximum participation rate reaches, even in the most engaged communities.
Step 2: Interpret the Question Precisely
This is a fill-in-the-blank question asking us to choose the best logical connector. The answer must create the right relationship between what comes before and after the blank.
Step 3: Prethink the Answer
- Looking at our table analysis, we need to identify which district has the highest participation rate
- The phrase 'most engaged communities' clearly refers to the districts with the highest tutoring usage
- From our data: 18%, 23%, 31%, 28%, and 37%
- The highest percentage is 37%, which corresponds to the $95,000 income district
- The word 'even' in the sentence structure suggests this percentage represents the upper limit
- So the right answer should be 37%, representing the highest tutoring participation rate found in the data
31%.
- This represents the participation rate for the \(\$61,000\) income district
- While this is a significant rate, it's not the highest in the table
- The phrase 'most engaged communities' requires the maximum value, not a middle-range value
37%.
- This is the highest participation rate shown in the table \(\$95,000\) district)
- Perfectly matches the phrase 'most engaged communities' which logically refers to districts with maximum participation
- The word 'even' suggests an upper limit, which \(37\%\) represents in this data set
23%.
- This represents the participation rate for the \(\$48,000\) income district
- This is a relatively low rate that wouldn't represent 'most engaged communities'
18%.
- This is the lowest participation rate in the table \(\$35,000\) district)
- Completely contradicts the phrase 'most engaged communities'