Page 2: Variables, Data Collection, and Analysis

The second page delves into the crucial aspects of experimental design, variable types, and data collection methods, emphasizing the importance of controlled experiments and proper measurement systems.

Definition: Independent variables are factors that scientists deliberately change, while dependent variables are the resulting outcomes of these changes.

Highlight: Controlled experiments require maintaining all variables constant except for the independent variable being tested.

Vocabulary:

• Quantitative data: Numerical information obtained through counting or measuring
• Qualitative data: Descriptive information about characteristics that typically cannot be counted

Example: In a plant growth experiment, the amount of fertilizer would be the independent variable, while plant height would be the dependent variable. All other factors like water, sunlight, and soil type would remain constant.

Quote: "Because researchers need to be able to replicate one another's experiments and many experiments involve gathering quantitative data, scientists need a common system of measurement."