A function can connect one measured variable, such as time or altitude, to another, such as temperature or pressure. Each input is paired with an output, allowing a model to estimate how a condition changes as the balloon rises or as the flight continues. Comparing function values also helps identify relationships among atmospheric measurements.
The rate of change describes how quickly one measured quantity changes relative to another. For example, comparing temperature differences across altitude intervals can show whether the change is gradual or more pronounced. In mathematical terms, slopes from graphs or differences in tables provide a way to compare atmospheric trends and support quantitative interpretation.
Tables preserve the measured values and make specific comparisons straightforward, while graphs reveal patterns, direction, and possible changes in the relationship between variables. Using both representations lets students check whether a visual trend agrees with the recorded data. This combined view supports clearer interpretation than relying on either format alone.
Interpolation estimates a value between two recorded measurements. If data include atmospheric conditions at two altitudes, a mathematical model or graph can help estimate the condition at an altitude that was not directly listed. The estimate remains tied to nearby observations, making it useful for examining continuous trends between sampled points.
First, identify the variables and assign which quantity will serve as the input. Next, record paired measurements in a table, represent their relationship with a graph or function, and examine differences across values. The resulting representation can then support estimates, comparisons, and explanations grounded in the collected measurements.
The context requires conclusions to be linked to measured values rather than unsupported guesses. Students can compare observations, use graphs or functions to justify predicted values, and explain how a trend changes with altitude or time. This connects mathematical procedures with meteorological interpretation while emphasizing evidence, measurement, and transparent reasoning.