Chapter 2 Flashcards

1
Q

Frequency (fi)

A

the counts or number of observations that fall into a given class/category of a variable
or that have a given value of the variable

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2
Q

Frequency distribution

A

a listing/presentation of all classes/categories or values of a variable, together with the number of observations (frequency) for each class or value
* May be presented in a table or a graph

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3
Q

Relative frequency

A

the ratio of the frequency of a class/category (or certain value) to the total number of observations

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4
Q

Area Principle

A

Area under the graph must equal the value (frequency, percentage) being presented

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5
Q

Marginal distributions

A

frequency distribution of each variable

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6
Q

Joint distributions

A

frequency distribution of joint events

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7
Q

Conditional distribution

A

requency distribution for one category of a variable at a time

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8
Q

Independence of Variables

A

Variables are said to be independent if the distribution of one variable is the same for all categories of the other variable. This means there is no association between the two variables (they are independent)

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9
Q

Association between variables

A

a change in one variable is associated with or accompanied by a change in the other
variable or, you can say that one variable is dependent upon the other variable

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10
Q

Subjective method

A

If you have data for only a sample, this can only be used as a subjective method to give an
indication of whether there is an association,

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11
Q

Objective Method

A

But, if you have data for an entire population, this is an objective method

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