Statistical Misuse and Real-World Applications
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Statistical Misuse and Real-World Applications — Free MYP3 Mathematics Practice Questions

1QuestionCommon Errors in Average InterpretationConcept Practice
2 marks~3 minCriterion A
The bar chart below shows the favourite sports of students in a class.

Football: 8 students
Basketball: 5 students
Swimming: 3 students
Tennis: 5 students
a
State the mode of the favourite sports data. [1]
b
Explain why Football is the mode and not Basketball or Tennis, even though both have the same frequency as each other. [1]
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Solutions

2QuestionManipulating Data for PersuasionAssessment Practice
6 marks~9 minCriterion C
A toothpaste advertisement claims: "Preferred by 4 out of 5 dentists!" The company surveyed only 10 dentists, all of whom were paid consultants for the company.
a
Describe what is meant by a representative sample and explain why this survey may not produce one. [2]
b
Explain how reporting 45\dfrac{4}{5} (80%) rather than "8 out of 10 dentists" could mislead consumers. [2]
c
A consumer sees the advertisement and says: "80% of dentists prefer it — that's strong evidence!" Analyse this statement using the survey's sample size and data collection method. [2]
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Solutions

3QuestionCommon Errors in Average InterpretationAssessment Practice
6 marks~9 minCriterion D
A company claims that the average salary at their firm is 75 00075\,000 dollars per year. Further investigation reveals that the median salary is 52 00052\,000 dollars and the mode is 45 00045\,000 dollars.
a
Identify which measure of central tendency the company is most likely using to support their claim. [1]
b
Explain why the company might prefer this measure over the median or the mode. [2]
c
Analyse the limitations of using a single average to represent the salary data, and suggest two pieces of additional information that would give a more complete picture of the distribution. [3]
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4QuestionRecognizing Misleading GraphsAssessment Practice
8 marks~12 minCriterion B
A small business records monthly sales (in thousands of dollars) for January to April: 50, 55, 60, 65.

Three bar charts display these data using different y-axis starting values:
Chart A starts at 0, Chart B starts at 40, Chart C starts at 48.

The bar height for any month == actual value −- y-axis start.
a
Calculate the perceived percentage increase from January to April for Charts A and B, using:

Perceived % increase=April bar height−January bar heightJanuary bar height×100%\text{Perceived \% increase} = \frac{\text{April bar height} - \text{January bar height}}{\text{January bar height}} \times 100\% [2]
b
Explain how raising the y-axis start value affects the visual impression of the increase shown in the charts. [2]
c
Analyse Chart C: using the formula from part (a), calculate the perceived percentage increase, then compare it with the actual percentage increase and explain what this reveals about the effect of a truncated y-axis. [4]
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