5.3 Reading Tables, Bar Graphs & Pie Charts for Trend Conclusions

Key Takeaways

  • IOS states that NCJOSI² inductive items give tables of information, bar graphs or pie graphs and ask for general conclusions.

  • IOS's sample uses a bar graph of daily calls over three weeks and asks for the fewest-call day and the largest increase from week 1 to week 3.

  • Read the title, units, axis scale and legend before comparing bars, because a mislabeled series is the fastest route to a wrong answer.

  • A pie chart shows shares of one total; multiply the share by the total to get a count, and never compare raw slices across pies with different totals.

  • To judge whether a strategy worked, compare the change where it was used with the change where it was not, and avoid claiming proof of cause.

Last updated: October 2026

Note

OpenExamPrep provides this independent study guide to help prospective law enforcement officers prepare for the National Criminal Justice Officer Selection Inventory (NCJOSI). OpenExamPrep is an independent educational publisher and is not associated with, affiliated with, or endorsed by Industrial/Organizational Solutions (IOS) or any municipal civil service commission.

What IOS Says These Items Look Like

The IOS study guide describes the NCJOSI² inductive reasoning items in one sentence: you will be given tables of information, bar graphs or pie graphs and asked to make general conclusions based on them. It frames the questions as "What trends do you notice? Have specific strategies been successful or unsuccessful?"

IOS's sample shows a grouped bar graph titled Number of Calls Received Daily, with one bar per week (Week 1, Week 2 and Week 3) for each weekday from Monday to Friday. Its two sample questions ask:

  1. When were the fewest calls received? (a single smallest value)
  2. Which day of the week saw the largest increase between Week 1 and Week 3? (the biggest difference between two series)

The bars you compare and the arithmetic you need are simple. Most errors come from reading the wrong bar, the wrong week or the wrong direction of change. The method below prevents that.


The Five-Step Reading Order

Use the same order on every table or graph, before you look at the answer choices:

  1. Title: What is being counted, and over what period? (calls per day, burglaries per quarter, percent of arrests)
  2. Units: Are values raw counts, percentages, dollars or rates per 1,000 residents? Never mix units in one comparison.
  3. Axis scale: Where does the vertical axis start, and what is the interval between gridlines? A bar graph that starts at 4,000 instead of 0 makes small differences look huge.
  4. Legend: Which color or shading is which series (Week 1, Week 2, District A)? Point at the legend, then at the bar.
  5. The question's exact comparison: Is it asking for a largest value, a smallest value, a largest increase, a decrease, a total or a share?

Tip

Write the comparison as a tiny formula in the booklet margin before reading the options, for example "W3 minus W1, each day, biggest positive." This stops you from answering the question you expected instead of the one asked.


Worked Example 1: Grouped Bars and "Largest Increase"

Suppose a bar graph shows traffic-crash reports for one city over two months. Read off the values into a quick table:

DayMarchAprilChange (April minus March)
Monday4247+5
Tuesday3852+14
Wednesday4541−4
Thursday5058+8
Friday6166+5
  • Most crashes in a single bar: Friday in April (66).
  • Fewest crashes in a single bar: Tuesday in March (38).
  • Largest increase from March to April: Tuesday (+14), even though Tuesday never has the tallest bar.
  • Only decrease: Wednesday (−4).

The trap here is choosing Friday for "largest increase" because Friday's bars are tallest. Height and change are different questions.

Percentage Change

Some items ask for a percentage increase. Use the original value as the denominator:

Percent change=New−OldOld×100\text{Percent change} = \frac{\text{New} - \text{Old}}{\text{Old}} \times 100

Tuesday: 52−3838×100≈36.8%\frac{52 - 38}{38} \times 100 \approx 36.8\%. Thursday: 58−5050×100=16%\frac{58 - 50}{50} \times 100 = 16\%. Tuesday has both the largest raw increase and the largest percentage increase here, but that is not always true: a small base can produce a large percentage from a small raw change.


Worked Example 2: Pie Charts

A pie chart shows how one total is divided. Suppose a pie chart shows the 1,200 calls for service handled by one shift in a month:

Call TypeShare of TotalCount (Share × 1,200)
Traffic30%360
Disturbance25%300
Theft20%240
Alarm15%180
Medical assist10%120
Total100%1,200

Typical questions and how to answer them:

  • "How many theft calls were there?" 0.20×1,200=2400.20 \times 1{,}200 = 240.
  • "How many more traffic calls than alarm calls?" (30%−15%)×1,200=0.15×1,200=180(30\% - 15\%) \times 1{,}200 = 0.15 \times 1{,}200 = 180.
  • "Which two categories together make up more than half of all calls?" Traffic + Disturbance = 55%.

Warning

If two pie charts have different totals (for example, 1,200 calls on day shift and 800 on night shift), a bigger slice does not mean a bigger count. 25% of 800 is 200, which is fewer than 20% of 1,200 (240). Convert each slice to a count before comparing across pies.


Worked Example 3: "Was the Strategy Successful?"

IOS specifically mentions questions about whether strategies were successful. The key is comparison. Suppose a table shows residential burglaries before and after a foot-patrol program:

DistrictProgram?Year 1Year 2ChangePercent Change
AYes12084−36−30%
BNo110105−5about −4.5%
CYes9081−9−10%

What the data supports:

  • Burglaries fell in both program districts by a larger percentage than in the district without the program.
  • District A had the largest drop in both count (−36) and percentage (−30%).

What the data does not support:

  • "The program caused the drop." Other changes could explain it; one year of numbers shows association, not proof.
  • "Burglaries will keep falling next year." The table says nothing about the future.
  • "District C's program failed." Its burglaries still fell more than District B's, just less than District A's.

The best answer to a strategy question usually sounds like the first list: specific, comparative and no stronger than the numbers allow.


Common Errors on Table and Graph Items

ErrorExamplePrevention
Wrong seriesReading the Week 2 bar when the question asks about Week 3Touch the legend, then the bar
Height vs. changePicking the tallest bar for "largest increase"Compute each difference
Wrong directionTreating a decrease as an increaseAlways compute later minus earlier
Truncated axisAssuming a bar twice as tall means twice as manyRead the actual values from the scale
Share vs. countComparing percentages from pies with different totalsConvert shares to counts first
OverreachChoosing "proves" or "always" conclusionsPrefer the most limited answer the data supports
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Reading Order for NCJOSI² Table and Graph Items
Test Your Knowledge

A table shows the number of noise complaints received by a police district each week:

DayWeek 1Week 2Week 3
Monday645861
Tuesday404771
Wednesday555063
Thursday726966

Which day of the week saw the largest increase in complaints between Week 1 and Week 3?

A

Monday

B

Thursday

C

Wednesday

D

Tuesday

Test Your Knowledge

A pie chart shows how 800 arrests in one year were divided by offense type: property offenses 35%, traffic offenses 25%, drug offenses 20%, violent offenses 15% and other offenses 5%. How many more property-offense arrests were there than violent-offense arrests?

A

120

B

160

C

20

D

280

Test Your Knowledge

A table shows vehicle break-ins before and after a parking-lot lighting project. Lots 1 and 2 received new lighting; Lot 3 did not.

LotNew Lighting?BeforeAfter
Lot 1Yes5030
Lot 2Yes4034
Lot 3No4544

Which conclusion is best supported by the table?

A

The lighting project proved that new lighting eliminates vehicle break-ins

B

Break-ins fell more, by count and by percentage, in both lighted lots than in the unlighted lot

C

Lot 2's lighting failed, because its decrease of 6 break-ins was much smaller than Lot 1's decrease of 20

D

Break-ins in Lot 3 will rise next year because it did not receive lighting

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