Unit ! Flashcards

1
Q

objects described by a set of data.

A

Individual

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2
Q

any characteristic of an individual.

A

Variable

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3
Q

these variables place individuals into one of several groups or categories

A

Categorical Variables

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4
Q

these variables are numerical values for which It makes sense to find an average. ex Area Codes
Building floor numbers

A

quantitative variable

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5
Q

To display the distribution of categorical data, make a

A

bar graph

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6
Q

this gives the
percent or proportion of
individuals that have a specific value for one categorical variable.

A

marginal relative
frequency

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7
Q

gives the
percent or proportion of
individuals that have a
specific value for one
categorical variable and
a specific value for
another categorical
variable.

A

joint relative
frequency

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8
Q

gives the
percent or proportion of
individuals that have a
specific value for one
categorical variable
among individuals who
share the same value of
another categorical
variable (the condition).

A

conditional relative
frequency

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9
Q

The bars are
grouped together based
on the values of one of
the categorical variables
and placed side by side.

A

side by side bar graph

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10
Q

displays the distribution
of a categorical variable
as segments of a
rectangle, with the area
of each segment
proportional to the
percent of individuals in
the corresponding
category.

A

segmented bar graph

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11
Q

There is an __
between two variables if
knowing the value of
one variable helps us
predict the value of the
other.

A

association

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12
Q

If knowing the value of
one variable does not
help us predict the value
of the other, then there
is

A

no association

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13
Q

A —- shows each
data value as a dot
above its location on a
number line.

A

dotplot

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14
Q

A distribution is roughly symmetric if

A

if the right
side of the graph is
approximately a mirror image of the left side.

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15
Q

A distribution is skewed to the right if

A

the right side of the graph is much longer than the left.

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16
Q

A distribution is skewed to the left if

A

the left side of the graph is much longer than the right.

17
Q

You can describe the distribution of a graph by

A

center, shape, outlier, and variability.

18
Q

To describe shape?

A

Whether the distribution is symmetrical, skewed to the right, or skewed to the left.

19
Q

Always be sure to include — when you are asked to describe a distribution. This means using the variable name, not just the units the variable is measured in.

A

CONTEXT

20
Q

When comparing distributions of quantitative data, it’s not enough just to list values for the center and variability of each distribution. You must explicitly compare these values, using words like

A

greater than, less than, about the same as.

21
Q

What two components does one need to have a proper description of a distribution?

A

Context, Comparative language

22
Q

A — shows each
data value separated into
two parts: a stem, which
consists of all but the final
digit, and a leaf, the final
digit.

A

stemplot

23
Q

Sometimes, We can get a better picture of the distribution in a stemplot by

A

splitting stems.

24
Q

use this when Two distributions of the same quantitative variable can be compared

A

back-to-back stemplot

25
Q

A —- shows each
interval of values as a bar. The
heights of the bars show the
frequencies or relative
frequencies of values in each
interval.

A

histogram