Qualitative Data
Quantitative Data
Data Representation
International System of Units
Reliability and Validity
100

What type of data uses the 5 senses?

Qualitative Data

100

What type of data uses numbers?

Quantitative Data

100

What is one way data can be represented?

Through graphs or charts.

100

What does SI stand for?

International System of Units

100

What does reliability mean in data?

The consistency of data and evidence.

200

What is an example of qualitative data?

Colors, textures, smells, tastes, sounds

200

Give an example of quantitative data.

The height of a plant measured in centimeters.

200

How can oral tradition be a form of data representation?

It involves sharing stories and information verbally over generations.

200

Why is the SI system important?

It provides a standard way to measure and communicate data worldwide.

200

What is validity in the context of data?

The accuracy of data and evidence.

300

How can you describe a flower using qualitative data?

You can describe it as colorful, fragrant, or soft.

300

What could be measured using quantitative data?

Temperature, weight, distance, or time.

300

What is a diagram?

A visual representation that explains data or concepts.

300

Give an example of a unit in the SI system.

Meters, liters, or grams.

300

Why is it important to use reliable sources?

To ensure that the data collected is accurate and trustworthy.

400

What kind of information might you gather through interviews?

Personal opinions or feelings.

400

How would you record the number of students in a class?

By counting them and writing the total.

400

Why would someone use tables to represent data?

To organize information clearly and make it easy to understand.

400

How does using SI units help scientists?

It helps them share and compare data easily across different countries.

400

How can tools improve the validity of data?

They can help to collect data more accurately.

500

How does qualitative data differ from quantitative data?

Qualitative data is descriptive and based on senses, while quantitative data is numerical.

500

Why is quantitative data important?

It helps us make precise measurements and comparisons.

500

What is the purpose of using models in data representation?

To create a physical representation of data for better understanding.

500

What is one challenge of not using SI units?

It can lead to confusion and errors in measurements.

500

What happens if data is not reliable?

The conclusions drawn from it may be incorrect.