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Vocabulary flashcards covering key statistical terms, variable classifications, and study roles based on the lecture transcript.
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Raw Data
Data in its starting, unsummarized form where rows represent cases and columns represent variables.
Cases
The individual units of observation or subjects being measured and reported about in a dataset, represented across the rows of raw data.
Variables
Characteristics recorded about each case in a dataset that vary from one individual to another, represented in columns.
Features
A term used by data science and computer science professionals to describe variables as characteristics or attributes of cases.
Categorical Variable
A variable that divides cases into distinct categories or groups, with values often consisting of words, symbols, or category-defining numbers like ZIP codes.
Nominal Categorical Variable
A categorical variable whose categories serve as unordered labels or names.
Ordinal Categorical Variable
A categorical variable whose categories possess a natural, logical ordering.
Quantitative Variable
A variable that measures a numerical quantity or count for each case.
Discrete Quantitative Variable
A quantitative variable that can only take on a countable set of possible results.
Continuous Quantitative Variable
A quantitative variable that can theoretically take on any numerical value within a given range, typically obtained via a measurement tool.
Index Variable
A specific type of categorical variable used to uniquely identify individuals, where exactly one case exists in each category.
Response Variable
The outcome variable of interest in a study or statistical analysis.
Explanatory Variable
A variable used to predict, explain, or help understand the values of the response variable.