lab 2 Flashcards

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1
Q

serve as the basis of comparison

A

control

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2
Q

dependent variable data that are measured during the experiment

A

dependent variable

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3
Q

those that are controlled by the experimenter, but do not change during data collection.

A

independent variable

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4
Q

variables that are not
necessarily included in the experiment, but may impact the data collected.

A

external factors

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5
Q

involve quantitative measurements that have a mathematical relationship
to each other.

A

numerical data

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6
Q

data that
can have an infinite number of values

A

continuous data

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7
Q

have a limited (finite)
number of values

A

discrete data

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8
Q

discrete character states that have no direct numerical value

A

categorical data

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9
Q

data that is ordered but does not have a mathematical relationship.

A

ranked data

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10
Q

values that quickly summarize aspects of
our (numerical) data

A

descriptive statistics

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11
Q

typically calculated separately for each treatment or experimental group, typically designated as n

A

sample size

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12
Q

numerical average

A

mean

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13
Q

measures the average deviation of each individual value from the mean
value of that sample

A

standard deviation

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14
Q

middle value when values are ranked from low to high

A

median

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15
Q

help identify whether
the mean is indeed representative of the data collected

A

standard error

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16
Q

used to graph data when both the
independent and dependent variables are numerical.
These can be useful for examining the relationship
between two variables.

A

scatter plots

17
Q

used when both variables are
numerical and the goal is to determine if there is a trend
in data. This can be used to determine if there are
changes in a dependent variable over time

A

line graphs

18
Q

used
when the independent variable is discrete, ranked, or an
attribute. These graphs are useful for comparing data
sets.

A

bar graphs

19
Q

used
when the independent variable is discrete, ranked, or an
attribute. These graphs are useful for comparing data
sets.

A

histograms

20
Q

a common component of many types
of graphs, especially bar graphs. They are used to
represent the variability of data. They typically extend
symmetrically above and below the mean, as shown in
the example at right and the line graph above.

A

error bars