Free Online Flashcard Deck

3 Data Types and Data Structures Free Online FlashCards

Study 3 Data Types and Data Structures with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

How do a variable’s meaning and representation differ?

Back

Meaning describes what a variable represents, such as a category or quantity; representation describes how it is stored, such as an integer or string.

02
Front

What is a discrete quantitative variable?

Back

A discrete quantitative variable takes countable values, such as the number of visits.

03
Front

What defines a binary variable?

Back

A binary variable has two possible categories, often represented as True/False or 0/1. Numeric coding alone does not make it a measurement.

04
Front

What comparisons does a nominal scale support?

Back

A nominal scale distinguishes categories with no inherent order. Useful summaries include counts, proportions, and the most common category.

05
Front

How is a table organized in a common tidy format?

Back

In a common tidy format, each column represents a variable, each row an observation, and each table one kind of observational unit.

06
Front

How do you count students when each student has multiple result rows?

Back

If each row is a student-course result, counting rows counts results, not students. Count distinct student IDs to count students.

07
Front

How are repeated measurements arranged in long format?

Back

In long format, repeated measurements appear on separate rows, often making grouping or plotting by category convenient.

08
Front

Why isn’t a numeric postal code necessarily quantitative?

Back

A postal code is a label, even if stored as an integer. Arithmetic such as averaging postal codes has no useful meaning.

09
Front

What is a continuous quantitative variable?

Back

A continuous quantitative variable can vary along a continuum, as a measured quantity such as height can.

10
Front

What distinguishes an ordinal scale?

Back

An ordinal scale has ordered categories, but the spacing between ranks is not established as equal. A median or rank comparison may be useful.

11
Front

What can an interval scale tell you, and what can’t it justify?

Back

An interval scale has ordered values with equal intervals but no absolute zero. Differences can be meaningful, but ratios are not; 20°C is not twice as warm as 10°C.

12
Front

What makes a measurement scale a ratio scale?

Back

A ratio scale has equal intervals and a meaningful zero, so differences and ratios are meaningful.