Alphabetical
variable
[noun]
In math, an expression that can be assigned any set of values. Variables are written as symbols, such as x, y or z, representing unspecified quantities or members of a set.
In science, the term refers to a condition or parameter that may be manipulated, fixed, measured, or observed in the course of scientific research. There are usually three categories of variables in science experiments; control, independent (experimental) and dependent (response). For more information, see our module Experimentation in Scientific Research.
Appears in modules:
- Animal Ecology Competition, predation, and cooperation
- Atomic Theory III Wave-particle duality and the electron
- Cell Division I The cell cycle
- Chemical Bonding Ionic and covalent bonds and polarity
- Chemical Reactions II Reaction kinetics
- Comparison in Scientific Research Uncovering statistically significant relationships
- Description in Scientific Research Observations and multiple working hypotheses
- Earth's Atmosphere Composition, temperature, and pressure
- Experimentation in Scientific Research Variables and controls in practice
- Exponential Equations I Growth and decay
- Exponential Equations II The constant e and limits to growth
- Franklin Chang Díaz Propulsion pioneer for future generations of astronauts
- From Stable Chromosomes to Jumping Genes The work of Barbara McClintock
- Introduction to Descriptive Statistics Using mean, median, and standard deviation
- Introduction to Inferential Statistics Describing patterns and relationships in datasets
- Linear Equations Relationships with two variables
- Mass Extinctions Major turning points in biodiversity
- Modeling in Scientific Research Simplifying a system to make predictions
- Properties of Gases The gas laws and the ideal gas equation
- Properties of Solids The influence of crystal structure on behavior
- Statistical Techniques Constructing a confidence interval
- Statistics in Science Origins of descriptive and inferential statistics
- The Practice of Science An introduction to research methods
- Uncertainty, Error, and Confidence Characterizing natural variability and human error
- Understanding Scientific Journals and Articles How to approach reading journal articles
- Unit Conversion Dimensional analysis
- Using Graphs and Visual Data in Science Reading and interpreting graphs
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