Definitions 1
Definitions 2
Qualitative Vs. Quantitative
Vocabulary 1
Vocabulary 2
100

An observable event that can be explained using scientific facts. 

Phenomenon 

100

Sets of data that cause each other to increase or decrease. 

Causation

100

The candy was sour. 

Qualitative 

100

A set of interacting part that form a whole structure. 

Systems 

100

Conducting multiple tests during an investigation in order to get accurate results. 

Trials 

200

Recording what you see, hear, smell, taste, feel. 

Observation 

200

The act of convincing someone of something by stating a claim and providing evidence. 

Argument 

200

She is 150 CM Tall. 

Quantitative 

200

An imitation, or "mock" version of a real world process or system over time. 

Simulation 

200

Make an observation- form a question-gather materials-identify variables. 

Planning

300

Body of facts that help prove a belief or suggestions. 

Evidence 

300

Part 1 of an argument; an arguable statement or assertion that something is true. 

Claim

300
The mass of the beaker was 122g. 

Quantitative 

300

facts, statistics, or measured numbers that you gather during an investigation. 

Data 

300

Conduct trails-gather data-draw a conclusion-repeat investigation. 

Carrying Out 

400

Explaining what you think will happen based on evidence you have seen. 

Hypothesis 

400

part 2 of an argument; the body of facts that help prove a belief or suggestion. 

Evidence 

400

The slug was slimy. 

Qualitative 

400

A visual display using lines, bars, or points that helps you make sense out of data. 

Graph 

400

Constructions that explain patterns, predict, outcomes, and activate more questioning. 

Models

500

During an investigation, things that are deliberately changed or kept the same.  

Variables 

500

Discussing your argument with peers; comparing and contrasting your evidence. 

Peer Review 

500

You have 3 sisters. 

Quantitative

500

Sets of data that seems to increase or decrease together. 

Correlation

500

To judge or determine the quality of a model and how well it works.

Evaluate