Everfi Data Science Foundation

Everfi Data Science Foundation

9th - 12th Grade

64 Qs

quiz-placeholder

Similar activities

Data Science Quiz

Data Science Quiz

Data Science and Analytics Quiz

Data Science and Analytics Quiz

Data Science

Data Science

Data Science Quiz

Data Science Quiz

Data Science Foundations

Data Science Foundations

Data Science Quiz

Data Science Quiz

Data Science Quiz

Data Science Quiz

Everfi Data Science Foundation

Everfi Data Science Foundation

Assessment

Quiz

Instructional Technology

9th - 12th Grade

Practice Problem

Hard

Created by

brandi joice

Used 15+ times

FREE Resource

About this resource

This quiz comprehensively covers foundational concepts in data science, making it appropriate for grades 9-12 students in an introductory technology or statistics course. The questions systematically progress through the data science workflow, beginning with basic definitions and terminology, then advancing to data collection methods, data types (qualitative vs. quantitative, primary vs. secondary), data cleaning processes, and various analytical approaches. Students need to understand the distinction between descriptive analytics (observations based on existing data) and predictive analytics (forecasting future outcomes), along with mastering data visualization techniques including when to use specific chart types like histograms, scatter plots, line graphs, and pie charts. The quiz also requires comprehension of business applications, including how data scientists support decision-making through trend identification, probability assessment, and the creation of dashboards versus reports for different stakeholder needs. Created by Brandi Joice, an Instructional Technology teacher in the US who teaches grades 9-12. This assessment serves as an excellent tool for measuring student comprehension of data science fundamentals and can be effectively used as a pre-assessment to gauge prior knowledge, a formative assessment during instruction, or a summative evaluation following a data science unit. The repeated self-assessment questions embedded throughout make it particularly valuable for tracking student confidence and understanding as they progress through the material. Teachers can use this quiz for homework assignments, review sessions before exams, or as a warm-up activity to reinforce key concepts. The content aligns with Common Core Mathematical Practices MP4 (modeling with mathematics) and MP5 (using appropriate tools strategically), while also supporting CSTA Computer Science Standards 3A-DA-10 and 3A-DA-11, which focus on data collection, organization, and analysis for identifying patterns and making predictions.

See more

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

64 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • Ungraded

Rate your understanding of Data Engineering.

1* I am super lost

2** I get some things but not others

3*** I feel pretty good; I just need more practice

4**** I feel super Confident

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The practice of collecting data and finding insights from data is called ________________.

data collection

data visualization

data science

data analysis

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data science refers to _______________.

the practice of collecting data and finding insights from data

presenting data in a visually appealing way

designing, setting up, and maintaining large collections of data called databases

gathering and measuring data, which can include surveys and other collection tools

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is data science?

A term synonymous with data collection

A term referring to the practice of collecting and finding insights from data

Both answers

Neither Answers

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data collection, database management, and data visualization are the _______________.

steps a research analyst takes before starting their research

steps a data scientist takes before determining usable results

practices a data analyst must use to be credible

None of these answers

6.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Which of the following steps does a data scientist take before determining usable results?

data visualization

data collection

database management

Data deletion

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A data scientist takes the following steps before determining usable results:

data collection, machine learning, and data visualization

data collection, machine learning, and database management

data collection, database management, and data visualization

data collection, machine learning, and data analysis

Create a free account and access millions of resources

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?