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observation experiment and physical theory

Learning objectives

  • Outcome

    Distinguish observation from experiment by stating whether the researcher interferes with the phenomenon and controls the independent variable.

  • Outcome

    Formulate a testable hypothesis from a given observation and specify a measurement whose outcome would falsify that hypothesis.

  • Outcome

    Classify a described study as observation, experiment, or a test of a theoretical prediction, and justify the choice with three criteria.

Understand the idea

Observation, Experiment, and Physical Theory

Text

Observation is a purposeful perception of a phenomenon without interfering with it: an astronomer records a star's position and does not affect its motion. Experiment is observation under controlled conditions, where the researcher sets the values of the independent variable (for example, the length of a pendulum) and measures the system's response. The key difference is intervention and reproducibility: an experiment can be repeated under the same conditions, while passive observation depends on what nature provides.

A physical theory is a system of concepts, laws, and equations that connects many results and predicts new ones. A theory is not derived from experience mechanically: it is built as a model, and its consequences are tested by experiment. A confirmed prediction strengthens the theory; a refuted one forces it to be refined or replaced. This closes the cycle: observation →\to hypothesis →\to experiment →\to theory →\to new predictions.

Worked examples

Direct

Problem

A student hangs a mass on a string and, for five different lengths LL, measures the time of ten complete oscillations. The student chooses both the length LL and the initial displacement. Is this work an observation or an experiment? Justify your answer.

Solution

This is an experiment. The mark of an experiment is intervention: the researcher sets the independent variable LL and the initial displacement, and tries to hold the other conditions constant (mass of the load, amplitude). The measured quantity is the period, computed as T=t/10T = t/10. The work is reproducible: another student can repeat the same conditions and obtain the same values. Pure observation does not fit here, because without intervention one cannot obtain a set of values of LL.

Application

Problem

Observations show that a metal rod lengthens when heated. Formulate a testable hypothesis about the relation between the elongation and the temperature change, and describe an experiment that could falsify it.

Solution

Hypothesis: the relative elongation is proportional to the temperature change,

ΔLL0=α ΔT,\frac{\Delta L}{L_0} = \alpha \,\Delta T,

where α\alpha is a coefficient constant for the given material, and ΔT=T−T0≥0\Delta T = T - T_0 \ge 0.

Test:

  1. Measure the initial length L0L_0 at room temperature T0T_0.
  2. Heat the same rod in a water bath to several temperatures; after the temperatures equalize, measure LL.
  3. Plot ΔL/L0\Delta L / L_0 against ΔT\Delta T.

The falsification condition is set in advance: if the points do not lie on a straight line through the origin within measurement uncertainty, the linear hypothesis is falsified and a nonlinear model is needed. If they do lie on it, the hypothesis is supported in the temperature range studied.

Transfer

Problem

In 1919, during a solar eclipse, the apparent displacement of star positions near the Sun's disk was measured. The measurement itself is a passive recording of light. Why is it nevertheless called a test of a theory rather than a simple observation?

Solution

Because the measurement was planned around a quantitative prediction of general relativity. For a ray passing at a distance bb from the Sun's centre, the theory gives the deflection angle

δ=4GMc2b,\delta = \frac{4GM}{c^2 b},

which at the limb of the disk is about 1,75′′1{,}75'' — twice the Newtonian value 2GM/(c2b)2GM/(c^2 b).

A critical experiment differs from a simple observation in three ways:

  • the predicted value and its admissible uncertainty are known in advance;
  • the outcome that would falsify the theory is known in advance (for instance, agreement with the Newtonian value);
  • the procedure and analysis (shooting geometry, reduction of the photographic plates) are subordinated to this test, not to a free description of the sky.

The result: data alone do not create a theory — they test one of its consequences.

Practice

Text

Self-study plan (30–40 minutes; work in a simulation if you cannot fix the support rigidly).

  1. Observation (5 min). Start a pendulum simulation (for example, Pendulum Lab) or use a safe pendulum made of a string and a small load at the edge of a table. Change nothing: describe in your notebook what you see and record only qualitative features (the period is roughly constant, the amplitude slowly decreases).
  2. Hypothesis (5 min). Write down the model T=2πL/gT = 2\pi\sqrt{L/g} and its falsification condition: if the graph of T2T^2 versus LL is not linear within uncertainty, the model is wrong.
  3. Experiment (15 min). Choose five values of the length LL (for example, from 0,200{,}20 to 0,600{,}60 m). For each one measure the time tt of ten complete oscillations, compute T=t/10T = t/10, repeat the measurement three times, and average.
  4. Analysis (10 min). Plot T2T^2 against LL. Check whether the line passes through the origin, and compare the slope with 4π2/g≈4,02 s2/m4\pi^2/g \approx 4{,}02\ \text{s}^2/\text{m}.
  5. Reflection (5 min). State which step was observation, which was experiment, and which was a test of a theoretical consequence.

Safety: with a real pendulum, fix the support so that it cannot fall, and do not use heavy or damaged loads; if in doubt, work only in the simulation.

Visual reference

Purpose

Show how passive observation differs from an experiment with a controlled variable, and indicate the place of theory in the closed cycle of inquiry.

Representation

Block diagram (boxes and arrows). On the left, a box labelled observation (no intervention) with an example: a star, a pendulum at rest. An arrow leads down to a box labelled hypothesis: a testable statement, for example ΔL/L0=αΔT\Delta L / L_0 = \alpha \Delta T. From it an arrow goes to a box labelled experiment: set the independent variable, measure the response, repeat. This box has two outgoing arrows labelled supported (into a box labelled theory: model and predictions) and falsified (back to the hypothesis box as a dashed loop). From the theory box an arrow returns to observation, labelled new predictions. At the bottom, a dashed frame lists three criteria of distinction: presence of intervention, reproducibility, and a falsification condition fixed in advance.

Real-world examples

Slow-motion video of a basketball free throw

Scenario

A player releases the ball from 2.10 m2.10\ \mathrm{m} above the floor with speed 7.0 m/s7.0\ \mathrm{m/s} at 50∘50^\circ to the horizontal. A phone films at 240 frames/s240\ \mathrm{frames/s}, that is one frame every 4.2 ms4.2\ \mathrm{ms}. Marking the centre of the ball on each frame gives its coordinates with an uncertainty of about ±0.02 m\pm 0.02\ \mathrm{m}. The team checks whether the path of the ball matches the parabola y=y0+vyt−12gt2y = y_0 + v_y t - \tfrac12 g t^2 with g=9.8 m/s2g = 9.8\ \mathrm{m/s^2}.

Connection

This shows the whole cycle of the physical method: a hypothesis (the ball is a point mass in free fall), a prediction taken from theory (the same parabola y(t)y(t) for every throw), a measurement with a stated uncertainty, and a comparison. Filming alone is an observation, because nothing is changed in the throw; the numerical check of the parabola is the experiment part, and the theory of projectile motion supplies a prediction that can fail and therefore can be tested.

Braking distance measured with a phone accelerometer

Scenario

A car travels at 50 km/h=13.9 m/s50\ \mathrm{km/h} = 13.9\ \mathrm{m/s} on dry asphalt (μ≈0.7\mu \approx 0.7). Theory gives the braking distance s=v2/(2μg)=(13.9)2/(2⋅0.7⋅9.8)≈14 ms = v^2/(2\mu g) = (13.9)^2/(2\cdot 0.7\cdot 9.8) \approx 14\ \mathrm{m}. On a closed track the driver brakes fully and a phone records the deceleration: the measured distance is 16 m16\ \mathrm{m} and the largest deceleration is 6.4 m/s26.4\ \mathrm{m/s^2} instead of the predicted 6.9 m/s26.9\ \mathrm{m/s^2}. A reaction time of 0.9 s0.9\ \mathrm{s} adds another 12.5 m12.5\ \mathrm{m} before the brakes act at all.

Connection

The theory of uniformly decelerated motion together with the law of dry friction gives the formula s=v2/(2μg)s = v^2/(2\mu g), and the experiment tests it with concrete numbers. The gap between 14 m14\ \mathrm{m} and 16 m16\ \mathrm{m} is data, not a failure: it points to worn tyres and to a μ\mu smaller than the one used in the model. That is how a theory is corrected rather than discarded.

A pressure cooker and the boiling point of water

Scenario

At normal pressure 101 kPa101\ \mathrm{kPa} water boils at 100 ∘C100\ ^\circ\mathrm{C}. In a pressure cooker the pressure inside rises to about 180 kPa180\ \mathrm{kPa} and a kitchen thermometer reads 117 ∘C117\ ^\circ\mathrm{C}; potatoes that need 20 min20\ \mathrm{min} in an open pan are soft after 6 min6\ \mathrm{min}. At an altitude of 2240 m2240\ \mathrm{m} (Mexico City, about 77 kPa77\ \mathrm{kPa}) the same pan boils water at 93 ∘C93\ ^\circ\mathrm{C} and the potatoes take 30 min30\ \mathrm{min}.

Connection

An observation — water boils at a different temperature in the mountains — becomes an experiment when the pressure is changed on purpose in a sealed pot and the temperature is measured with a thermometer. The theory of saturated vapour pressure and of the equilibrium between liquid and vapour explains why the boiling temperature tracks the pressure, and it gives a numerical prediction (about 120 ∘C120\ ^\circ\mathrm{C} at 200 kPa200\ \mathrm{kPa}) that the thermometer reading can confirm or refute.