Free SAT One-Variable Data Mock

From Overwhelmed to Outstanding in Data Analysis with just a practice test Take a quick SAT practice test on One-Variable Data to level up your skills, tackle tougher problems, and discover your strengths.
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Try out these One-Variable Data Practice Questions

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One-Variable Data

One-Variable

1.

The standard deviation of the numbers a, b, c and d is 5. What will be the standard deviation of the numbers a+1, b+1, c+1 and d+1?

2.

The median of the numbers 15, x, 23, 29, 17 and 14 is 16. Which of the following can be a possible value of x?


I. 14
II. 15
III. 16

3.

In a photography contest, the median score of 9 submissions was 82 points. If the lowest-scoring submission is disqualified due to a rule violation, the median score of the remaining 8 submissions becomes 85 points. Which of the following cannot be a score in the contest?

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How to solve questions from One-Variable Data?

Identify Data Type

Always determine if you're working with categorical or numerical data before calculating any measures

Calculate Systematically

Use the proper formulas for mean (sum÷count), median (middle value), and standard deviation step-by-step

Interpret Context

Connect your calculated measures back to the real-world scenario described in the question

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Why One-Variable Data matter for SAT?

EdisonOS conducted a detailed Bluebook analysis to help tutors design SAT tests mirroring official Bluebook test challenges. Findings show Advanced Math dominates SAT Math after algebra, and One-Variable Data shares 0-2 questions making this skill easier to appear in hard modules.

I Need Detailed Analysis

Avoid These Common Mistakes In One-Variable Data!

1

Confusing Measures

Students frequently mix up median and mean calculations, especially when data sets have outliers

2

Skipping Data Organization

Many students calculate median without first arranging data in ascending order, leading to incorrect answers

3

Misreading Graphs

Students often misinterpret frequency tables or histograms, missing important details about data distribution

4

Ignoring Outliers

Students fail to recognize how extreme values significantly affect mean but minimally impact median

5

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