Assessing Data Practice Flashcards

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This set of vocabulary flashcards covers key concepts from Chapter 2: Assessing Data, including the distinctions between stories and facts, definitions for statistical variables, and the principles of trial assessments.

Last updated 5:04 AM on 7/17/26
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14 Terms

1
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Story

An account of experiences or events presented by someone which may contain disproportionate weightage in favor of or against an idea and can vary based on individual experience.

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Fact

Something that has occurred or occurs; a truth that has happened or continues to happen in the universe and is generally used to derive a conclusion.

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Trial assessment

A set of steps executed to support, reject, or confirm an assumption, often referred to as an experiment.

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Correlation

In statistics, describes the direction of a relationship where the values of two or more variables alter so that the rise or fall in one is either directly or inversely proportional to the other.

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Causation

A relationship showing that one event's occurrence originates from another event's occurrence, demonstrating a cause-and-effect link.

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Treatment variable

The procedure variable in an experiment, generally considered an independent variable.

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Response variable

The dependent variable in an experiment that is measured to see the effect of the treatment variable.

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Experiment

A supervised study in which a researcher tries to understand the cause and effect relationship between treatment and response variables.

9
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Perception of time assessment

The study of a person's subjective experience of time duration within an ongoing event, which can alter significantly depending on the individual and circumstances.

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Categorical variables

Variables such as "Growth Bag" (11, 22, 33, or 44) and "Treatment" (11-Light, 22-Mixed, or 33-Dark) used to classify observations into distinct groups.

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Quantitative variable

A variable that measures a numerical quantity, such as "length" measured in millimeters (mmmm).

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Missing values

Values recorded as "x" for instances where a data point could not be collected, such as seeds that did not germinate during the experiment.

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Rejumbling

A manual or technological simulation process where measurements are shuffled and redistributed into groups to determine if observed differences in mean are due to chance.

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Standard Deviation

A statistical measure included in treatment summaries (e.g., 5.035.03 for Treatment 11-Light) to describe the spread of data points around the mean.