Descriptive Statistics Flashcards

1
Q

Sample

A

Portion of the population

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2
Q

Random Sample

A

Sample where every element of a population has an equal chance of being selected.

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3
Q

Qualitative variable

A

non-numerical or categorical data

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4
Q

Quantitative variable

A

Numerical data

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5
Q

Quantitative data types

A

Discrete, Continuous

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6
Q

Discrete quantitative data

A

Values are finite or countable.

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7
Q

Continuous Quantitative Data

A

Any values in a line interval (measuring)

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8
Q

Measure Scales

A

Nominal, Ordinal, Interval, and Ratio Scales

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9
Q

Nominal Scale

A

Qualitative Data is placed into categories whose order is meaningless.

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10
Q

Ordinal Scale

A

Qualitative data is placed into categories whose order is meaningful but where differences cannot be determined or are meaningless.

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11
Q

Interval Scale

A

Quantitative data scale where order is representative but where there is no natural zero starting point. Differences are meaningful but ratios are meaningless.

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12
Q

Ratio Scale

A

Quantitative Data scale where order is representative and where there is a natural zero value (indicates absence of). Both differences and ratios are meaningful.

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13
Q

Highest level (amount) of information (scale)

A

Ratio Scale

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14
Q

What makes a frequency table complete?

A

Has frequency, relative frequency, and cumulative relative frequency

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15
Q

frequency (ni)

A

Number of times a value appears in a set of data

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16
Q

Relative Frequency (fi)

A

fi=ni/n

17
Q

Cumulative Relative Frequency (Fi)

A

Fi=add previous cumulative relative frequencies.

18
Q

Group values into what?

A

classes

19
Q

Classes

A

Non-overlapping intervals, preferably of equal length, covering the range of observations. Classes typically include upper bound but not lower bound.

20
Q

When to use data grouping

A

Discrete: more than 15 outcomes

or continuous quantitative data.

21
Q

Bin values

A

Upper value for each interval