Data Visualization Flashcards

1
Q

Why do we need data description?

A

Raw data is messy; we need summary measures to compare different groups and units effectively.

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2
Q

What is the difference between a percentage and a proportion?

A

Proportion: Standardized to a base of 1.
Percentage: Standardized to a base of 100.
Both compare a part to a whole

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3
Q

When should percentages and proportions be avoided?

A

When dealing with a small number of cases, as small changes can cause large distortions.

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4
Q

What is a ratio?

A

A ratio compares one category of a variable to another category (part-to-part comparison).

Example:
“For every 1 male student, there are 1.2 female students.”

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5
Q

What is a rate?

A

A rate compares actual occurrences to possible occurrences within a given time and is often multiplied by a power of 10.

Example:
Crude Death Rate (CDR) = (Number of deaths / Population) × 1,000

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6
Q

What is a frequency distribution?

A

A summary that reports how often each value of a variable occurs.

Key properties:

Categories must be mutually exclusive and exhaustive.
Includes a title, category labels, counts for each category, and total cases.

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7
Q

How do frequency distributions differ by variable type?

A

Nominal & Ordinal: Simple tally of cases per category.
Interval/Ratio: Often grouped into intervals for summarization.

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8
Q

What are midpoints, stated limits, and real limits in frequency distributions?

A

Midpoint: The value exactly between the upper and lower limits of an interval.

Stated limits: The discrete categories as they appear.

Real limits: The actual boundaries considering continuity.

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9
Q

What is cumulative frequency and percentage?

A

The number or percentage of cases at or below each category, useful for ordinal or higher-level data.

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10
Q

Why are graphs important in statistics?

A

They visually summarize data, show distribution shape, and highlight clustering or patterns.

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11
Q

When should you use a pie chart?

A

For nominal or ordinal variables.
When the number of categories is low. (4 or less)

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12
Q

When should you use a bar chart?

A

For nominal or ordinal variables.
When the number of categories is higher (>4-5 categories).
Use clustered bar charts to compare multiple variables.

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13
Q

When should you use a histogram?

A

For interval/ratio variables.
Unlike bar charts, bars touch to show continuous data.

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14
Q

What is a frequency polygon?

A

A line graph that represents frequencies for interval/ratio data, similar to a histogram but using dots and lines instead of bars.

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