Unit 1 Topic 1 Study Guide

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Vocabulary flashcards covering measurement concepts, data types, units, and basic experimental design.

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23 Terms

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Accuracy

How close a measurement is to the true value.

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Precision

The consistency or reproducibility of repeated measurements.

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Qualitative data

Descriptive data that describes qualities or attributes (not numerical).

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Quantitative data

Numerical data that involves numbers and measurements.

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Observation

Information gathered using the senses during an experiment.

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Inference

A conclusion drawn from observations and prior knowledge.

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Objective data

Facts measured or observed that are not influenced by personal feelings.

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Subjective data

Data based on personal feelings, opinions, or perceptions.

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Independent Variable (IV)

The variable deliberately changed by the researcher to test its effects.

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Dependent Variable (DV)

The variable measured in response to changes in the IV.

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Constants

Factors kept the same for all test conditions to ensure a fair test.

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Control group

Group not exposed to the IV; serves as a baseline for comparison.

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Experimental group

Group exposed to the IV to test its effects.

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Standard units for length, mass, time, temperature, amount of substance

Length: meter (m); Mass: kilogram (kg); Time: second (s); Temperature: Kelvin (K); Amount of substance: mole (mol).

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Kelvin (K)

SI unit of temperature; 0 K is absolute zero; relation to Celsius: K = C + 273.15.

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Celsius (°C)

Temperature scale with 0 °C at the freezing point of water.

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Fahrenheit (°F)

Temperature scale with water freezing at 32 °F; relation: F = (9/5)°C + 32.

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Significant figures

Digits that carry meaning about a measurement's precision; rules define which zeros and digits are significant.

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Conversion factor

A ratio used to convert from one unit to another by multiplying.

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Kelvin-Celsius relation

Conversion between Celsius and Kelvin: K = °C + 273.15.

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135°C to Kelvin

135°C equals 408.15 K (K = °C + 273.15).

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Data organization and analysis

Organizing data into charts/tables/graphs and interpreting to draw conclusions.

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Experimental design example (coffee study)

IV: drinking coffee; DV: amount of work completed; Constants: same environment, sleep, etc.; Control group: no coffee; Experimental group: coffee.