Chapter 1 Flashcards

1
Q

The objects described by a set of data. Individuals may be people, animals, or things.

A

Individuals

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2
Q

Any characteristic of an individual. A variable can take different values for different individuals

A

Variable

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3
Q

Places an individual into one of several groups or categories

A

Categorical variable

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4
Q

Takes numerical values for which it makes sense to find an average

A

Quantitative value

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5
Q

Tells us what the variable takes and how often it takes these variables

A

Distribution

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6
Q

One of the categorical variables in a two-way table of counts is the distribution of that variable among all individuals described by the table

A

Marginal distribution

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7
Q

Describes the values of that variable among individuals who have a specific value of another variable. There is a separate conditional distribution for each value of the other variable.

A

Conditional distribution

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8
Q

There is this between 2 variable if knowing the value of one variable helps to predict the value of the other. If knowing the value of 1 variable does not help predict the value of the other, then there is no association between the variables

A

Association

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9
Q

Each data value is gown as a dot above its location on a number line

A

Dot plot

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10
Q

A distribution is this if the right or left sides of the graph are approximately mirror images of each other

A

Symmetric

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11
Q

Right side of graph is much longer than left

A

Skewed to the right

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12
Q

Left side of graph is much longer than the right side

A

Skewed to the left

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13
Q

Have a single peak

A

Unimodal

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14
Q

Give a quick picture of shape of distribution while including the actual numerical values in the graph

A

Stemplot

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15
Q

X(with a line over it)= the sum of X i over n

A

Mean of x

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16
Q

Is the midpoint of a distribution, the number such that about half the observations are smaller and about half are larger.

A

Median

17
Q

Lies 1 quarter up the list

A

1st quartile

18
Q

Lies at the median

A

2nd quartile

19
Q

Lies 3 quarters up the list

A

3rd quartile

20
Q

Measure the range of the middle 50% of the range

A

Interquartilerange (IRQ)

21
Q

Call an observation an outlier if it falls more than 1.5 X IQR above the 3rd quartile or below the 1st quartile

A

The 1.5 X IQR rule for outliers

22
Q

Consists of the smallest observation, the 1st quartile, the median, the 3rd quartile, and the largest observation, written in order from smallest to largest

A

Five-number summary

23
Q

Measures the typical distance of the values in a distribution from the mean

A

Standard devaition

24
Q

The average squared deviation

A

Variance