Reading 2, Organizing, Visualizing, and Describing Data Flashcards

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1
Q

A) What is numerical/quantitative data?

B) Which two types can it be split into? Describe them.

A

A) Numerical data are values that represent measured or counted quantities.
B) Continuous and discrete data. Continuous data can be measured and take on any numerical value in a specified range of values. Discrete data are numerical values that result from a counting process and is limited to a finite number of values.

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2
Q

A) What is categorical data?

B) Name two types of categorical data. Describe them.

A

A) Categorical/qualitative data are values that describe a quality of characteristic of a group of observations.
B) Nominal and Ordinal data. Nominal data are not amenable to being organised in a logical order. Ordinal data can be logically ordered or ranked.

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3
Q

There are classification based on how data are collected.
A) Describe cross-sectional data.
B) Describe time-series data.
C) Describe panel data.

A

A) Cross-sectional data are a list of the observations of a specific variable from multiple observational units at a given point in time.
B) Time-series data are a sequence of observations for a single observational unit of a specific variable collected over time and of discrete and typically equally spaced intervals of time.
C) Panel data are a mix of time-series and cross-sectional data. Panel data consist of observations through time on one or more variables for multiple observational units.

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4
Q

A) What is absolute frequency?

B) What is relative frequency?

A

A) Absolute frequency is the actual number of observations counted for each unique value of a variable.
B) Relative frequency is the absolute frequency of each unique value of the variable divided by the total number of observations.

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