Analysis of a Single Variable Flashcards

1
Q

The distribution of a variable tells us

A

The distribution of a variable tells us what
values it takes and how often it takes those
values.

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2
Q

Two methods of visualizing categorical
distributions:

A

– Pie chart
– Bar graph

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2
Q

Categorical Variables

A

Variables that put the individual into
one of several groups or categories

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3
Q

Pie Chart

A

A pie chart shows how a
whole group (the sample)
is subdivided into smaller
groups (the categories).
* The size of a slice is
proportional to the
fraction of the sample in
that category.
– The sum of the
percentages shown by
each slice must add to
100%

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4
Q

Bar Graph

A

A bar graph
represents each
category as a
vertical bar.
* The height of the
bar shows the
category count or
percentage.
Bar Graph
* While every single
category must be
represented in a pie
chart (percentages
sum to 100%), we
can choose to omit
categories in a bar
graph depending on
our desired
comparisons.

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5
Q

Quantitative Variables

A

Variables that take values for which
arithmetic operations make sense

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6
Q

The distribution of a quantitative
variable tells us

A

The distribution of a quantitative
variable tells us what values the variable takes
and how often it takes these values

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7
Q

Methods of visualizing quantitative
distributions:

A

– Histogram
– Stemplot (Stem-and-leaf plot)
– Boxplot

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8
Q

A histogram

A

A histogram is graph of the distribution of a
quantitative variable whose values are grouped
together
* To make a histogram:
1. Divide the data range into classes of equal width,
such that each individual only falls into one class
2. Count the individuals in each class
3. Draw the histogram
* Classes on horizontal axis; count on vertical axis

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9
Q

– Stem:

A

consists of all but the
final digit

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10
Q

Leaf:

A

the final digit

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11
Q

stemplot advanatge

A

good for small dataset

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12
Q

histograms vs stemplot

A

– Unlike histograms, stemplots show the actual
values of the data
* Histograms are generally more flexible than
stemplots, because you can choose the width
of the classes.

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13
Q

Symmetric distribution

A

The right and left sides of
the histogram are approximately mirror images of
each other

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14
Q

Skewed to the right

A

The right side of the
histogram extends much further out than the left

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15
Q

Skewed to the left:

A

The left side of the histogram
extends much further out than the right

16
Q

– Unimodal

A

one peak

17
Q

bimodal

A

two peaks

18
Q

multimodal

A

multiple peaks

19
Q

ordered observation is the median

A

Sort n observations from smallest to largest. The
(n+1)/2 ordered observation is the median.

20
Q

The variance

A

The variance measures the dispersion (spread
about the mean) of all the observations

21
Q

The standard deviation

A

The standard deviation is the square root of
the variance:

22
Q
A