data management

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27 Terms

1
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Sample

Small number of observations taken from the population; any data set that is not the whole population

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Population

The entire group or total number of observations being studied

3
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Statistics

The science of collecting, organizing, analyzing, and interpreting data

4
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Why Study Statistics

It helps us evaluate information critically, avoid half-truths, and make practical decisions

5
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Descriptive Statistics

Describes data using tables, graphs, and summary measures to make data manageable

6
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Inferential Statistics

Makes generalizations or predictions about a population based on a sample

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Measurement

Quantifying an observation using a rule, like thermometer for fever or exams for mental ability

8
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Variable

Something that can be measured and can vary

9
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Constant

Something that does not change and stays the same value

10
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Scale of Measurement

The rule or level used to quantify an observation

11
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Scales of Measurement

Nominal, Ordinal, Interval, Ratio

12
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Nominal Scale

Categorical data where numbers are used as labels with no numerical meaning

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Nominal Scale Example

Marital status labeled 1 = single, 2 = married (labels only)

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Ordinal Scale

Ranked data showing greater-than or less-than, but not how much difference

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Ordinal Scale Example

Fun run ranking without time differences

16
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Interval Scale

Measurement data with meaningful intervals but no true zero

17
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Interval Scale Example

Temperature in Celsius or Fahrenheit

18
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Ratio Scale

Measurement data with meaningful intervals and a true zero

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Ratio Scale Limitation

Cannot often be used in social sciences because absolute zero cannot be defined

20
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Raw Data

Unorganized data collected directly from observations

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Categorical Frequency Distribution

Organizes nominal or ordinal data into categories and frequencies

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Examples of Categorical Data

Gender, business type, political affiliation

23
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How to Construct a Frequency Distribution

Make a table, tally data, convert tallies to frequencies, compute percentages

24
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Percentage Formula

Frequency ÷ total observations × 100

25
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Grouped Frequency Distribution

Frequency distribution where data are arranged into class intervals

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Class Interval

The width or numerical range for each class in grouped data

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Determining Number of Classes

Depends on the method chosen by the researcher

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