Unit 1 Flashcards

1
Q

absolute frequency

A

number, directly from data

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2
Q

relative frequency

A

percentage

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3
Q

marginal relative frequency

A

margin/total
ex. % of all students who took PE

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4
Q

joint relative frequency

A

join of categories / total
ex. % of all students who chose math and chose art

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5
Q

conditional relative frequency

A

category / total limited by a condition
ex. % of the students who chose technology given they chose math

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6
Q

association

A

knowing the value of one variable helps predict the other
- will have different segmented bar graphs

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7
Q

quantitative variable

A

takes numerical value for measured/counted quality

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8
Q

categorical variable

A

values are category names / group labels

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9
Q

what can cause graphs to be misleading

A
  • vertical axis not starting at 0
  • using irregularly sized images for bar graphs
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10
Q

segmented bar graph

A

different categorical results shown as relative frequency out of a whole bar
- bars stacked up to make 100%

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11
Q

mosaic plot

A

Segmented bar graph where width of bars is proportional to group size

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12
Q

discrete data

A

type of quantitative data which has a countable number of values

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13
Q

continuous data

A

type of quantitative data that has an infinite number of possible values

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14
Q

when is a graph skewed left/right

A

higher values on right = skewed left
higher values on left = skewed right

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15
Q

describing distribution

A

SOCVaC
shape
outliers
center
variability
context

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16
Q

how to describe shape of a graph

A

unimodal or bimodal
right or left skewed or symmetric

17
Q

how to describe center of graph

A

mean and median values

18
Q

how to describe variability of graph

A

range, IQR, SD

19
Q

How to interpret standard deviation

A

“The [context] typically varied by [SD] from the mean of [mean]”

20
Q

Nonresistant statistics

A

Mean, standard deviation
Very impacted by outliers

21
Q

Resistant statistics

A

Median
Not greatly impacted by outliers

22
Q

Statistics to use for symmetric distribution

A

Mean, SD (nonresistant)

23
Q

Statistics to use for skewed distributions or those with outliers

A

Median, IQR (resistant)

24
Q

How to find outliers

A

IQR method:
Low outliers <Q1 - 1.5IQR
High outliers >Q3 + 1.5IQR

SD method:
Low < mean - 2SD
High > mean + 2SD