stats review Flashcards

1
Q

exploratory data analysis (EDA)

A

first step in data analysis - allows for understanding of structure, quality and patterns

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2
Q

numerical data types

A

continuous: a value within a range
discrete: fixed values, usually counts

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3
Q

categorical data types

A

nominal: unordered categories
ordinal: ordered categories

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4
Q

research process

A

Develop a scientific question.
Collect data.
Analyze data (EDA first, then statistical tests).
Make conclusions based on findings.

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5
Q

summarizing numerical data

A

measures of center: mean, median
measures of spread: range, IQR, standard deviation
five number summary: min, Q1, median, Q3, max

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6
Q

summarizing categorical data

A

summarized using counts and proportions, visualized with bar charts

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7
Q

unimodal

A

one peak

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8
Q

multimodal

A

multiple peaks

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9
Q

right skewed

A

mean > median

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10
Q

left skewed

A

median > mean

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11
Q

standard deviation and variance

A

measures how spread out the data is around the mean, larger standard deviation=wider distribution

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12
Q

BRFSS data set

A

Age distribution: Right-skewed (more younger participants).
Gender: Slightly more females than males.
General health: Most participants reported good to excellent health.
Weight: Some extreme values, but not biologically unrealistic.

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