Binary Basics
Data Representation
Data Collection
Data Storage and Compression
Data Interpretation
100

What number system does a computer use to represent all data?

Binary

100

What is a bit?

The smallest unit of data in a computer, representing a 0 or 1.

100

What is a source of data that programs often use?

User input, sensors, databases, or the internet.

100

Why is data compression useful?

It reduces file size for faster transmission and less storage.

100

What is a data visualization?

A graphical representation of data to help people understand patterns.

200

What are the two digits used in binary?

0 and 1.

200

What is a byte?
 

A group of 8 bits.

200

Why is metadata important in data collection?

It describes other data, like when and how data was collected.

200

What is the role of redundancy in data compression?  

Redundancy is removed to reduce file size.

200

Why is it important to clean data before analyzing it?

To remove errors, duplicates, or inconsistencies.

300

What is the binary equivalent of the decimal number 53?

00110101

300

How is text represented in binary?

Using character encoding systems like ASCII or Unicode.

300

What is sampling in data collection?

Measuring or recording data points at regular intervals.

300

What does lossy compression do to an image or audio file?

It reduces file size by permanently removing some details.

300

How can data bias affect decision-making?

It can lead to incorrect conclusions or unfair results.

400

What happens when a binary number overflows its available bits?

It wraps around or causes data loss (overflow error).

400

What is the difference between lossy and lossless compression?

Lossy removes some data permanently; lossless retains all original data.

400

What is a possible downside of collecting too much data?

Storage issues, privacy concerns, or difficulty analyzing it all.

400

Why might a company choose to use a compressed file format?

To save bandwidth and improve loading times.

400

What is the benefit of using large datasets?

More accurate insights and patterns emerge with more data.

500

How many different values can be represented with 5 bits?
 

32 values.

500

Why do images use different file types like PNG and JPEG?

Different file types use different encoding and compression methods depending on the need.

500

What is one ethical concern in data collection?

Collecting personal data without consent.

500

What is a trade-off of using high compression?

You may lose quality or processing speed.

500

What is a possible danger of misinterpreting data visualizations?

It can lead to false assumptions or poor decisions.

M
e
n
u