Binary Basics
What number system does a computer use to represent all data?
Binary
What is a bit?
The smallest unit of data in a computer, representing a 0 or 1.
What is a source of data that programs often use?
User input, sensors, databases, or the internet.
Why is data compression useful?
It reduces file size for faster transmission and less storage.
What is a data visualization?
A graphical representation of data to help people understand patterns.
What are the two digits used in binary?
0 and 1.
What is a byte?
A group of 8 bits.
Why is metadata important in data collection?
It describes other data, like when and how data was collected.
What is the role of redundancy in data compression?
Redundancy is removed to reduce file size.
Why is it important to clean data before analyzing it?
To remove errors, duplicates, or inconsistencies.
What is the binary equivalent of the decimal number 53?
00110101
How is text represented in binary?
Using character encoding systems like ASCII or Unicode.
What is sampling in data collection?
Measuring or recording data points at regular intervals.
What does lossy compression do to an image or audio file?
It reduces file size by permanently removing some details.
How can data bias affect decision-making?
It can lead to incorrect conclusions or unfair results.
What happens when a binary number overflows its available bits?
It wraps around or causes data loss (overflow error).
What is the difference between lossy and lossless compression?
Lossy removes some data permanently; lossless retains all original data.
What is a possible downside of collecting too much data?
Storage issues, privacy concerns, or difficulty analyzing it all.
Why might a company choose to use a compressed file format?
To save bandwidth and improve loading times.
What is the benefit of using large datasets?
More accurate insights and patterns emerge with more data.
How many different values can be represented with 5 bits?
32 values.
Why do images use different file types like PNG and JPEG?
Different file types use different encoding and compression methods depending on the need.
What is one ethical concern in data collection?
Collecting personal data without consent.
What is a trade-off of using high compression?
You may lose quality or processing speed.
What is a possible danger of misinterpreting data visualizations?
It can lead to false assumptions or poor decisions.