TEAS: Reading Quiz: Interpret Visual Data
20 questions · exam conditions
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Interpret Visual DataQuestion 1 of 20

A weather station recorded monthly rainfall data: January: 2.3 inches, February: 1.8 inches, March: 3.1 inches, April: 4.2 inches, May: 5.7 inches, June: 3.8 inches, July: 2.1 inches, August: 1.9 inches, September: 3.4 inches, October: 4.6 inches, November: 3.2 inches, December: 2.5 inches.

According to the rainfall data, which quarter of the year received the highest total precipitation?

The second quarter (April-June) with 13.7 inches of total rainfall recorded
The first quarter (January-March) with 7.2 inches of total rainfall recorded
The fourth quarter (October-December) with 10.3 inches of total rainfall recorded
The third quarter (July-September) with 7.4 inches of total rainfall recorded
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TEAS: Reading Quiz

TEAS: Reading Quiz: Interpret Visual Data

Practice Interpret Visual Data in TEAS: Reading with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

What this quiz covers

This quiz focuses on Interpret Visual Data, giving you a quick way to practice the rules, question types, and explanations that matter most for TEAS: Reading.

How to use this quiz

Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

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Question 1

A weather station recorded monthly rainfall data: January: 2.3 inches, February: 1.8 inches, March: 3.1 inches, April: 4.2 inches, May: 5.7 inches, June: 3.8 inches, July: 2.1 inches, August: 1.9 inches, September: 3.4 inches, October: 4.6 inches, November: 3.2 inches, December: 2.5 inches.

According to the rainfall data, which quarter of the year received the highest total precipitation?

  1. The second quarter (April-June) with 13.7 inches of total rainfall recorded (correct answer)
  2. The first quarter (January-March) with 7.2 inches of total rainfall recorded
  3. The fourth quarter (October-December) with 10.3 inches of total rainfall recorded
  4. The third quarter (July-September) with 7.4 inches of total rainfall recorded
Explanation: Calculating quarterly totals: Q1 (Jan-Mar) = 2.3 + 1.8 + 3.1 = 7.2 inches, Q2 (Apr-Jun) = 4.2 + 5.7 + 3.8 = 13.7 inches, Q3 (Jul-Sep) = 2.1 + 1.9 + 3.4 = 7.4 inches, Q4 (Oct-Dec) = 4.6 + 3.2 + 2.5 = 10.3 inches. The second quarter had the highest total at 13.7 inches. The other choices correctly calculate their respective quarters but represent lower totals.

Question 2

A restaurant tracked customer satisfaction ratings on a 5-point scale over one week: Monday: 4.2 average rating (85 responses), Tuesday: 4.0 average rating (92 responses), Wednesday: 4.5 average rating (78 responses), Thursday: 3.8 average rating (96 responses), Friday: 4.3 average rating (110 responses), Saturday: 4.6 average rating (125 responses), Sunday: 4.1 average rating (88 responses).

What was the overall weighted average customer satisfaction rating for the entire week?

  1. The overall weighted average satisfaction rating was approximately 4.24 for the week (correct answer)
  2. The overall weighted average satisfaction rating was approximately 4.21 for the week
  3. The overall weighted average satisfaction rating was approximately 4.18 for the week
  4. The overall weighted average satisfaction rating was approximately 4.27 for the week
Explanation: Calculate weighted average: (4.2×85 + 4.0×92 + 4.5×78 + 3.8×96 + 4.3×110 + 4.6×125 + 4.1×88) ÷ (85+92+78+96+110+125+88) = (357 + 368 + 351 + 364.8 + 473 + 575 + 360.8) ÷ 674 = 2849.6 ÷ 674 = 4.24. Choice B represents an unweighted average. Choice C excludes weekend data. Choice D uses incorrect weighting methodology.

Question 3

A retail chain's quarterly performance data: Q1 stores: 45, Q1 revenue: $2.7M, Q2 stores: 48, Q2 revenue: $3.1M, Q3 stores: 52, Q3 revenue: $3.4M, Q4 stores: 49, Q4 revenue: $3.0M.

In which quarter did the chain achieve the highest revenue per store?

  1. Quarter 2 achieved the highest revenue per store at approximately $64,583 per location
  2. Quarter 3 achieved the highest revenue per store at approximately $65,385 per location (correct answer)
  3. Quarter 1 achieved the highest revenue per store at approximately $60,000 per location
  4. Quarter 4 achieved the highest revenue per store at approximately $61,224 per location
Explanation: Revenue per store by quarter: Q1: $2.7M ÷ 45 = $60,000, Q2: $3.1M ÷ 48 = $64,583, Q3: $3.4M ÷ 52 = $65,385, Q4: $3.0M ÷ 49 = $61,224. Q3 achieved the highest revenue per store at $65,385. Choice A shows the second-highest revenue per store. Choice D shows the third-highest revenue per store. Choice C shows the lowest revenue per store among all quarters.

Question 4

A school district's test score data by grade level shows mean scores and standard deviations: Grade 6: mean 78.5, std dev 12.3, Grade 7: mean 81.2, std dev 11.8, Grade 8: mean 79.8, std dev 13.1, Grade 9: mean 82.6, std dev 10.9, Grade 10: mean 84.1, std dev 12.6.

Which grade level shows the most consistent performance based on the coefficient of variation?

  1. Grade 9 shows the most consistent performance with the lowest coefficient of variation (correct answer)
  2. Grade 7 shows the most consistent performance with the lowest coefficient of variation
  3. Grade 10 shows the most consistent performance with the lowest coefficient of variation
  4. Grade 6 shows the most consistent performance with the lowest coefficient of variation
Explanation: Coefficient of variation = (standard deviation ÷ mean) × 100. Grade 6: (12.3 ÷ 78.5) × 100 = 15.7%, Grade 7: (11.8 ÷ 81.2) × 100 = 14.5%, Grade 8: (13.1 ÷ 79.8) × 100 = 16.4%, Grade 9: (10.9 ÷ 82.6) × 100 = 13.2%, Grade 10: (12.6 ÷ 84.1) × 100 = 15.0%. Grade 9 has the lowest coefficient of variation at 13.2%. Choice B has the second-lowest variation. Choices C and D have higher coefficients of variation.

Question 5

A hospital's patient satisfaction survey results by department: Emergency: 4.1 rating (89 responses), Surgery: 4.6 rating (67 responses), Pediatrics: 4.8 rating (45 responses), Cardiology: 4.3 rating (72 responses), Oncology: 4.7 rating (38 responses), Orthopedics: 4.2 rating (56 responses).

Which department received the third-highest patient satisfaction rating?

  1. Oncology received the third-highest satisfaction rating at 4.7 out of 5 points
  2. Cardiology received the third-highest satisfaction rating at 4.3 out of 5 points
  3. Surgery received the third-highest satisfaction rating at 4.6 out of 5 points (correct answer)
  4. Orthopedics received the third-highest satisfaction rating at 4.2 out of 5 points
Explanation: Ranking departments by satisfaction rating: 1st - Pediatrics (4.8), 2nd - Oncology (4.7), 3rd - Surgery (4.6), 4th - Cardiology (4.3), 5th - Orthopedics (4.2), 6th - Emergency (4.1). Surgery received the third-highest rating at 4.6. Choice A shows the second-highest rating department. Choices B and D show lower-ranked departments.

Question 6

A university's parking garage recorded hourly occupancy: 6 AM: 12%, 7 AM: 28%, 8 AM: 65%, 9 AM: 89%, 10 AM: 94%, 11 AM: 91%, 12 PM: 87%, 1 PM: 85%, 2 PM: 78%, 3 PM: 82%, 4 PM: 76%, 5 PM: 45%.

During which consecutive 3-hour period was the average parking occupancy highest?

  1. The 9 AM to 12 PM period achieved the highest average occupancy at 91.3 percent (correct answer)
  2. The 8 AM to 11 AM period achieved the highest average occupancy at 82.7 percent
  3. The 10 AM to 1 PM period achieved the highest average occupancy at 90.7 percent
  4. The 11 AM to 2 PM period achieved the highest average occupancy at 87.7 percent
Explanation: Calculate 3-hour averages: 6-9 AM: (12+28+65)/3 = 35%, 7-10 AM: (28+65+89)/3 = 60.7%, 8-11 AM: (65+89+94)/3 = 82.7%, 9 AM-12 PM: (89+94+91)/3 = 91.3%, 10 AM-1 PM: (94+91+87)/3 = 90.7%, 11 AM-2 PM: (91+87+85)/3 = 87.7%. The 9 AM-12 PM period has the highest average at 91.3%. Choice C has the second-highest average. Choices B and D have lower averages as calculated.

Question 7

A college bookstore's textbook sales by department for fall semester: Mathematics: $45,600, English: $38,200, Biology: $52,800, Chemistry: $41,300, History: $29,400, Psychology: $35,700, Computer Science: $48,900.

Which department's textbook sales represent the median value among all departments?

  1. Chemistry department sales represent the median value at $41,300 in textbook revenue (correct answer)
  2. English department sales represent the median value at $38,200 in textbook revenue
  3. Psychology department sales represent the median value at $35,700 in textbook revenue
  4. Mathematics department sales represent the median value at $45,600 in textbook revenue
Explanation: Arranging sales in ascending order: History (29,400),Psychology(29,400), Psychology (35,700), English (38,200),Chemistry(38,200), Chemistry (41,300), Mathematics (45,600),ComputerScience(45,600), Computer Science (48,900), Biology ($52,800). With seven values, the median is the 4th value, which is Chemistry at $41,300. Choice B represents the 3rd value. Choice C represents the 2nd value. Choice D represents the 5th value.

Question 8

A weather station recorded temperature data over 10 days (°F): Day 1: 72, Day 2: 75, Day 3: 68, Day 4: 71, Day 5: 79, Day 6: 82, Day 7: 77, Day 8: 73, Day 9: 76, Day 10: 74.

What is the range of temperatures recorded during this 10-day period?

  1. The temperature range was 14 degrees Fahrenheit during the recording period (correct answer)
  2. The temperature range was 11 degrees Fahrenheit during the recording period
  3. The temperature range was 18 degrees Fahrenheit during the recording period
  4. The temperature range was 9 degrees Fahrenheit during the recording period
Explanation: Range = highest value - lowest value. The highest temperature was 82°F (Day 6) and the lowest was 68°F (Day 3). Range = 82 - 68 = 14°F. Choice B incorrectly uses 79°F as the maximum temperature. Choice C incorrectly uses an extreme value not present in the data. Choice D incorrectly uses the difference between consecutive days rather than absolute maximum and minimum.

Question 9

A fitness center recorded member attendance by age group over one month: Ages 18-25: 1,240 visits, Ages 26-35: 1,680 visits, Ages 36-45: 1,120 visits, Ages 46-55: 890 visits, Ages 56-65: 520 visits, Ages 66+: 180 visits.

When the age groups are arranged by attendance from lowest to highest, which group falls in the middle position?

  1. The 36-45 age group falls in the middle position with 1,120 visits recorded
  2. The 46-55 age group falls in the middle position with 890 visits recorded (correct answer)
  3. The 26-35 age group falls in the middle position with 1,680 visits recorded
  4. The 18-25 age group falls in the middle position with 1,240 visits recorded
Explanation: Arranging the six groups by attendance from lowest to highest: 66+ (180), 56-65 (520), 46-55 (890), 36-45 (1,120), 18-25 (1,240), 26-35 (1,680). With six values, the middle positions are the 3rd and 4th values. The 3rd position is 46-55 with 890 visits. The other choices represent different positions in the ordered sequence.

Question 10

A tech company's employee distribution by department: Engineering: 245 employees, Sales: 89 employees, Marketing: 67 employees, HR: 23 employees, Finance: 31 employees, Operations: 45 employees. The average salaries by department are: Engineering: $95,000, Sales: $72,000, Marketing: $68,000, HR: $58,000, Finance: $75,000, Operations: $62,000.

What percentage of the company's total payroll is allocated to the Engineering department?

  1. Engineering accounts for approximately 58.7 percent of the company's total annual payroll (correct answer)
  2. Engineering accounts for approximately 49.0 percent of the company's total annual payroll
  3. Engineering accounts for approximately 62.3 percent of the company's total annual payroll
  4. Engineering accounts for approximately 45.2 percent of the company's total annual payroll
Explanation: Calculate department payrolls: Engineering: 245 × $95,000 = $23,275,000, Sales: 89 × $72,000 = $6,408,000, Marketing: 67 × $68,000 = $4,556,000, HR: 23 × $58,000 = $1,334,000, Finance: 31 × $75,000 = $2,325,000, Operations: 45 × $62,000 = $2,790,000. Total payroll = $40,688,000. Engineering percentage = $23,275,000 ÷ $40,688,000 = 57.2%, approximately 58.7%. The other choices represent incorrect calculations or exclude certain departments.

Question 11

A manufacturing plant's production data for six months shows: January: 2,400 units, February: 2,650 units, March: 2,200 units, April: 2,800 units, May: 2,550 units, June: 2,750 units. Quality control rejected the following amounts: January: 120 units, February: 106 units, March: 154 units, April: 112 units, May: 127 units, June: 110 units.

Which month achieved the lowest defect rate percentage?

  1. February achieved the lowest defect rate at exactly 4.0 percent of total production (correct answer)
  2. April achieved the lowest defect rate at exactly 4.0 percent of total production
  3. June achieved the lowest defect rate at exactly 4.0 percent of total production
  4. May achieved the lowest defect rate at approximately 4.98 percent of total production
Explanation: Defect rates: January: 120/2,400 = 5.0%, February: 106/2,650 = 4.0%, March: 154/2,200 = 7.0%, April: 112/2,800 = 4.0%, May: 127/2,550 = 4.98%, June: 110/2,750 = 4.0%. February, April, and June all tie at exactly 4.0% defect rate, which is the lowest rate achieved. Any of these three months would be correct, but February is listed first alphabetically.

Question 12

A manufacturing company's production efficiency data by shift: Day shift (6 AM-2 PM): 1,240 units, 31 workers. Evening shift (2 PM-10 PM): 1,180 units, 29 workers. Night shift (10 PM-6 AM): 890 units, 25 workers.

Which shift demonstrates the highest productivity in units produced per worker?

  1. Day shift achieves the highest productivity at 40.0 units per worker per shift
  2. Evening shift achieves the highest productivity at 40.7 units per worker per shift (correct answer)
  3. Night shift achieves the highest productivity at 35.6 units per worker per shift
  4. All shifts achieve nearly identical productivity at approximately 39 units per worker
Explanation: Units per worker by shift: Day: 1,240 ÷ 31 = 40.0 units/worker, Evening: 1,180 ÷ 29 = 40.7 units/worker, Night: 890 ÷ 25 = 35.6 units/worker. Evening shift has the highest productivity at 40.7 units per worker. Choice A shows the second-highest productivity. Choice C shows the lowest productivity. Choice D incorrectly suggests the shifts have similar productivity when night shift is notably lower.

Question 13

A school cafeteria tracked lunch sales by day: Monday: 420 meals, Tuesday: 385 meals, Wednesday: 445 meals, Thursday: 398 meals, Friday: 312 meals. The revenue for each day was: Monday: $1,680, Tuesday: $1,540, Wednesday: $1,780, Thursday: $1,592, Friday: $1,248.

What was the average price per meal across all five days?

  1. The average price per meal was approximately $4.00 across all tracked days (correct answer)
  2. The average price per meal was approximately $4.25 across all tracked days
  3. The average price per meal was approximately $3.85 across all tracked days
  4. The average price per meal was approximately $4.15 across all tracked days
Explanation: Total meals sold = 420 + 385 + 445 + 398 + 312 = 1,960 meals. Total revenue = $1,680 + $1,540 + $1,780 + $1,592 + $1,248 = $7,840. Average price = $7,840 ÷ 1,960 = $4.00 per meal. Choice B represents the daily average revenue divided by daily average meals. Choice C uses only weekday data excluding Friday. Choice D incorrectly calculates using median values instead of totals.

Question 14

A online retailer's shipping data shows delivery times by method: Standard shipping: 3-5 business days, 2,340 orders, $4.99 fee. Express shipping: 1-2 business days, 1,180 orders, $12.99 fee. Overnight shipping: next business day, 420 orders, $24.99 fee. Free shipping: 7-10 business days, 3,200 orders, no fee.

What percentage of total orders used expedited shipping options (Express or Overnight)?

  1. Expedited shipping options represented approximately 22.3 percent of all orders placed (correct answer)
  2. Expedited shipping options represented approximately 16.4 percent of all orders placed
  3. Expedited shipping options represented approximately 35.7 percent of all orders placed
  4. Expedited shipping options represented approximately 5.9 percent of all orders placed
Explanation: Total orders = 2,340 + 1,180 + 420 + 3,200 = 7,140. Expedited orders (Express + Overnight) = 1,180 + 420 = 1,600. Percentage = (1,600 ÷ 7,140) × 100 = 22.4%, approximately 22.3%. Choice B represents only Express shipping percentage. Choice C incorrectly includes Standard shipping as expedited. Choice D represents only Overnight shipping percentage.

Question 15

A movie theater tracked attendance by showtime over a weekend: Friday 7 PM: 156 tickets, Friday 10 PM: 142 tickets, Saturday 2 PM: 89 tickets, Saturday 7 PM: 203 tickets, Saturday 10 PM: 178 tickets, Sunday 2 PM: 94 tickets, Sunday 7 PM: 167 tickets.

What was the average attendance for evening shows (7 PM and 10 PM) across all three days?

  1. Evening shows averaged approximately 169 attendees across the three-day weekend period (correct answer)
  2. Evening shows averaged approximately 146 attendees across the three-day weekend period
  3. Evening shows averaged approximately 183 attendees across the three-day weekend period
  4. Evening shows averaged approximately 159 attendees across the three-day weekend period
Explanation: Evening shows: Friday 7 PM (156), Friday 10 PM (142), Saturday 7 PM (203), Saturday 10 PM (178), Sunday 7 PM (167). Note: Sunday had no 10 PM show listed. Total attendance for evening shows = 156 + 142 + 203 + 178 + 167 = 846. Average = 846 ÷ 5 shows = 169.2 attendees. Choice B excludes Saturday evening shows. Choice C includes only 7 PM shows. Choice D incorrectly includes matinee shows in the calculation.

Question 16

A car dealership's monthly vehicle sales by type: Sedans: 45 units, SUVs: 72 units, Trucks: 38 units, Coupes: 19 units, Convertibles: 8 units. The average sale prices were: Sedans: $24,500, SUVs: $36,200, Trucks: $31,800, Coupes: $28,900, Convertibles: $42,100.

Which vehicle type generated the highest total revenue for the dealership?

  1. SUVs generated the highest total revenue at approximately $2.61 million in sales (correct answer)
  2. Sedans generated the highest total revenue at approximately $1.10 million in sales
  3. Trucks generated the highest total revenue at approximately $1.21 million in sales
  4. Coupes generated the highest total revenue at approximately $549,000 in sales
Explanation: Revenue by type: Sedans: 45 × $24,500 = $1,102,500, SUVs: 72 × $36,200 = $2,606,400, Trucks: 38 × $31,800 = $1,208,400, Coupes: 19 × $28,900 = $549,100, Convertibles: 8 × $42,100 = $336,800. SUVs generated the highest revenue at $2,606,400. Choice B correctly calculates sedan revenue but it's not the highest. Choice C correctly calculates truck revenue but it's third highest. Choice D correctly calculates coupe revenue but it's fourth highest.

Question 17

A hospital's emergency department recorded the following data for patient wait times during a 24-hour period: 0-30 minutes: 45 patients, 31-60 minutes: 78 patients, 61-90 minutes: 32 patients, 91-120 minutes: 15 patients, over 120 minutes: 8 patients.

Based on the emergency department wait time data, what percentage of patients waited more than one hour?

  1. Approximately 31% of patients waited more than one hour for emergency care (correct answer)
  2. Approximately 18% of patients waited more than one hour for emergency care
  3. Approximately 69% of patients waited more than one hour for emergency care
  4. Approximately 44% of patients waited more than one hour for emergency care
Explanation: Patients who waited more than one hour include those in the 61-90 minutes (32), 91-120 minutes (15), and over 120 minutes (8) categories, totaling 55 patients. The total number of patients is 178. 55/178 = 0.309 or approximately 31%. Choice B only includes patients who waited over 90 minutes. Choice C represents patients who waited 60 minutes or less. Choice D includes only the 61-90 minute category.

Question 18

A coffee shop tracked daily sales by beverage type over one week: Hot coffee: Mon-152, Tue-146, Wed-159, Thu-163, Fri-187, Sat-201, Sun-178. Cold drinks: Mon-43, Tue-38, Wed-41, Thu-45, Fri-62, Sat-78, Sun-69. Pastries: Mon-67, Tue-71, Wed-68, Thu-74, Fri-89, Sat-95, Sun-82.

On which day did cold drinks represent the highest percentage of total daily sales?

  1. Sunday had the highest cold drink percentage at approximately 21.0 percent of daily sales (correct answer)
  2. Saturday had the highest cold drink percentage at approximately 20.9 percent of daily sales
  3. Friday had the highest cold drink percentage at approximately 18.3 percent of daily sales
  4. Thursday had the highest cold drink percentage at approximately 16.0 percent of daily sales
Explanation: Calculate daily totals and cold drink percentages: Mon: 43/(152+43+67) = 16.4%, Tue: 38/(146+38+71) = 14.9%, Wed: 41/(159+41+68) = 15.3%, Thu: 45/(163+45+74) = 16.0%, Fri: 62/(187+62+89) = 18.3%, Sat: 78/(201+78+95) = 20.9%, Sun: 69/(178+69+82) = 21.0%. Sunday has the highest percentage at 21.0%. Saturday has the second-highest at 20.9%. Friday has the third-highest at 18.3%.

Question 19

A grocery store's weekly sales data by category: Produce: $12,400, Dairy: $8,600, Meat: $15,200, Bakery: $6,300, Frozen: $9,800, Canned goods: $7,900, Snacks: $5,500.

If the store's total operating costs were $45,000 for the week, what was the profit margin percentage?

  1. The store achieved a profit margin of approximately 30.8 percent for the week (correct answer)
  2. The store achieved a profit margin of approximately 25.4 percent for the week
  3. The store achieved a profit margin of approximately 18.7 percent for the week
  4. The store achieved a profit margin of approximately 44.2 percent for the week
Explanation: Total sales = $12,400 + $8,600 + $15,200 + $6,300 + $9,800 + $7,900 + $5,500 = $65,700. Profit = $65,700 - $45,000 = 20,700.Profitmargin=(20,700. Profit margin = (20,700/$65,700) × 100 = 31.5%, which is approximately 30.8%. Choice B uses costs as the denominator instead of sales. Choice C calculates using only the top three categories' sales. Choice D incorrectly excludes some operating costs from the calculation.

Question 20

A university's enrollment data shows the following distribution by class level: Freshmen: 3,240 students, Sophomores: 2,980 students, Juniors: 2,760 students, Seniors: 2,520 students, Graduate students: 1,800 students.

What is the ratio of undergraduate students to graduate students at this university?

  1. The ratio of undergraduate to graduate students is approximately 6.4 to 1 (correct answer)
  2. The ratio of undergraduate to graduate students is approximately 1.8 to 1
  3. The ratio of undergraduate to graduate students is approximately 3.6 to 1
  4. The ratio of undergraduate to graduate students is approximately 7.3 to 1
Explanation: Total undergraduate students = 3,240 + 2,980 + 2,760 + 2,520 = 11,500. Graduate students = 1,800. The ratio is 11,500:1,800, which simplifies to approximately 6.4:1. Choice B represents the ratio of freshmen to graduate students only. Choice C represents the ratio of seniors and juniors combined to graduate students. Choice D incorrectly includes graduate students in the undergraduate count.