Data Transformations: Definition & Example


Choose an answer and hit 'next'. You will receive your score and answers at the end.

question 1 of 3

Frank collects a bunch of data for a science project, After he has calculated all the measures of center and spread for his data, he discovered that all of his measurements are 3 inches too short. Which statement will be true about his corrected set of data?

Create Your Account To Take This Quiz

As a member, you'll also get unlimited access to over 79,000 lessons in math, English, science, history, and more. Plus, get practice tests, quizzes, and personalized coaching to help you succeed.

Try it risk-free
Try it risk-free for 30 days. Cancel anytime
Already registered? Log in here for access

1. Wendy collects data for a school project and calculates the median of her data to be 53.5 inches. She finds out that the data is supposed to be measured in centimeters, not inches. She knows that there are 2.54 cm for every inch. What is the median for the transformed data?

2. The values in a data set are all increased by 38. Which of the following statements is true?

Create your account to access this entire worksheet
A Premium account gives you access to all lesson, practice exams, quizzes & worksheets
Access to all video lessons
Quizzes, practice exams & worksheets
Certificate of Completion
Access to instructors
Create an account to get started Create Account

About This Quiz & Worksheet

With this worksheet/quiz, you can assess what you know about data transformations. The multiple-choice questions will include some examples and sample problems you'll need to work through, like interpreting a corrected set of data for a given problem and finding the median for transformed data.

Quiz & Worksheet Goals

You'll be required to answer questions on the following:

  • Result of increasing all values in a data set by 38
  • The effect on the standard deviation after multiplying a data set by two
  • Transformation that would make the largest median for a set of data

Skills Practiced

  • Problem solving - use acquired knowledge to solve data transformation practice problems
  • Information recall - access the knowledge you've gained regarding what happens to the standard deviation when data is multiplied by a number like two
  • Knowledge application - use your knowledge to answer questions about the outcome of adding the same value to a set of data

Additional Learning

Get a better understanding of this concept by reviewing the lesson titled Data Transformations: Definition & Example. These key points will be covered:

  • An explanation of what data transformations are
  • Calculations for the measures of spread with a new data set
  • Data set examples with multiplication