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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One-Variable Data

One-Variable

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?

A Between 2 and 4 B Between 4 and 6 C Between 6 and 8 D Between 8 and 10

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

A None B Only two C Only one D All three

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?

A 76 B 80 C 84 D 88

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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!

Confusing Measures

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

Skipping Data Organization

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

Misreading Graphs

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

Ignoring Outliers

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

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