Chapter 1 Flashcards

1
Q

individual

A

objects described by a set of data`

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2
Q

variable

A

any characteristic

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3
Q

categorial variable

A

puts an individual into one of several groups

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4
Q

quantitative variable

A

takes numerical values to find an average
some exceptions ie zip code

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5
Q

distribution

A

shows what values a variable takes and how often it occurs

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6
Q

frequency table

A

displays counts (frequencies) of individuals in a category

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7
Q

relative frequency table

A

shows percentages (relative frequencies) of individuals in a category

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8
Q

roundoff error

A

rounded percents only come close to 100%
only points out the effects of rounding off results

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9
Q

marginal distribution

A

a distribution of values for one variable

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10
Q

conditional distribution

A

separate distributions for each variable

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11
Q

association

A

exists between two variables if knowing the value of one helps predict the other

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12
Q

symmetric distribution

A

left and right are mirror images

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13
Q

skewed left/right

A

a tail to the left/right side

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14
Q

unimodal

A

single peak

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15
Q

bimodal

multimodal

A

two peaks

three or more peaks

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16
Q

stemplots

A

gives a quick peak into the shape of a distribution

17
Q

histogram

A

only for QUANTITATIVE data
% on the y axis, values on the x axis

18
Q

mean

A

average, how large data would be if data was split evenly
x bar – sample
mew – population
this is for symmetric data `

19
Q

median

A

midpoint of distribution
if the number of observations is odd, the median is the center observation
if the number of observations is even, the median is the average of the two center observations
this is for skewed data

20
Q

range

A

largest data value - the smallest view
should be ONE value

21
Q

mode

A

value that occurs most often

22
Q

interquartile range

A

Q1 – 25%; to the left of the median
Q2 – 50%; the median
Q3 – 75%; to the right of the median

23
Q

1.5 IQR Rule

A

allows for an observation to be called an outlier if it is outside Q1 - 1.5IQR and Q3 - 1.5IQR
boundaries

24
Q

five number summary

A

minimum, Q1, median, Q3, maximum

25
Q

standard deviation

A

measures the distance from the mean

26
Q

variance

A

standard deviation squared

27
Q

to describe (CSOCS)

A

Context
Shape – skewed/symmetric
Outliers
Center
Spread – range
Use comparative words