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NotesMath AI HLTopic 4.1Data Reliability and Outliers
Back to Math AI HL Topics
4.1.41 min read

Data Reliability and Outliers

IB Mathematics: Applications and Interpretation • Unit 4

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Contents

  • What is an outlier?
  • Causes of outliers
  • IQR method for identifying
  • Effect on statistics

What is an outlier?

Big Idea: An outlier is a data value that is much larger or much smaller than the other values in the dataset.

Unusual or extreme.
Example dataOutlier?Why?
85, 87, 89, 91, 93NoAll close together
85, 87, 89, 91, 150Yes150 much larger
2, 3, 4, 5, 6NoAll consecutive
2, 3, 4, 5, −50Yes−50 much smaller

Causes of outliers

Legitimate: Real extreme values: World records, rare events.

Keep.
Error: Measurement mistakes, wrong units.

Investigate and consider removing.
Key point: Never blindly remove outliers.

Investigate first.

Worked example — investigate before removing

A class of 25 students records their daily screen-time hours: most values are between 2 and 6, but one student records 50 hours.

Is this an outlier, and what should you do?

Step by step

  1. Identify: 50 is far above the other values (2-6), so it IS an outlier numerically.
  2. Investigate the cause. A real day has only 24 hours, so 50 is impossible — this is a measurement / data-entry ERROR, not a true extreme value.
  3. Decide: remove the impossible value (or correct it if the true entry can be recovered). Do NOT silently drop true extreme values.
  4. Report: state in your write-up that the value 50 was excluded as an obvious data-entry error (>24 hours).

Final answer

Yes, 50 is an outlier. It is a data-entry error (impossible value) and should be removed or corrected, with a note in the report explaining the exclusion.

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IQR method for identifying outliers

Worked example

Data: 12, 14, 15, 16, 18, 19, 20, 21, 25, 45 Identify outliers.

Solution

  1. Q1 = 14.75, Q3 = 21.25, IQR = 6.5
  2. Lower bound = 14.75 − 1.5(6.5) = 5
  3. Upper bound = 21.25 + 1.5(6.5) = 31
  4. 45 > 31, so 45 is outlier

Final answer

Outlier: 45

IB-style question — largest non-outlier

A data set has Q1 = 20 and Q3 = 32.

Find the largest value that would NOT be classed as an outlier.

Step by step

  1. IQR first, then the upper fence Q3 + 1.5·IQR — anything at or below it is not an outlier.

Final answer

50 — any value above 50 is an outlier.

[Diagram: math-box-plot] - Available in full study mode

How outliers affect statistics

StatisticOutlier effect
MeanHighly affected
MedianResistant
RangeHighly affected
IQRResistant
SDHighly affected
Strategy: With outliers: Use median and IQR. Without: Can use mean and SD.

IB Exam Questions on Data Reliability and Outliers

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How Data Reliability and Outliers Appears in IB Exams

Examiners use specific command terms when asking about this topic. Here's what to expect:

Define

Give the precise meaning of key terms related to Data Reliability and Outliers.

AO1
Describe

Give a detailed account of processes or features in Data Reliability and Outliers.

AO2
Explain

Give reasons WHY — cause and effect within Data Reliability and Outliers.

AO3
Evaluate

Weigh strengths AND limitations of approaches in Data Reliability and Outliers.

AO3
Discuss

Present arguments FOR and AGAINST with a balanced conclusion.

AO3

See the full IB Command Terms guide →

Related Math AI HL Topics

Continue learning with these related topics from the same unit:

4.1.1Population and Samples
4.1.2Data Classification
4.1.3Sampling Techniques
4.1.5Data Quality Management
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30 practice questions on Data Reliability and Outliers

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