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BUAL 2600 Test 1 Auburn Questions And Answers With Verified Solutions
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Probability sampling - ️️Sampling where we know the chance that each element in the population will be included in the sample Judgement sampling - ️️Samples in which a person who is extremely knowledgeable about the population selects population elements he or she feels are most represe...

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  • October 3, 2024
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  • 2024/2025
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BUAL 2600 Test 1 Auburn
Probability sampling - ✔️✔️Sampling where we know the chance that each element in
the population will be included in the sample

Judgement sampling - ✔️✔️Samples in which a person who is extremely
knowledgeable about the population selects population elements he or she feels are
most representative

Data - ✔️✔️Facts and figures from which conclusions can be drawn

Data set - ✔️✔️The data that are collected for a particular study

Elements - ✔️✔️May be people, objects, events, or other entries

Variable - ✔️✔️Any characteristic of an element

Quantitative - ✔️✔️The possible measurements of the values of a variable are
numbers that represent quantities

Qualitative (categorial) - ✔️✔️The possible measurements fall into several categories

Quantitative Variables - ✔️✔️Numeric

How many and how much

Mathematical operations are meaningful.

Qualitative Variables - ✔️✔️Labels or names used to identify an attribute of each
element

Either Numeric or Nonnumeric

Appropriate statistical analyses are rather limited

Categorical Variable

Cross-sectional data - ✔️✔️Data collected at the same or approximately the same
point in time

Time series data - ✔️✔️Data collected over different time periods

Census - ✔️✔️An examination of all the population measurements

, Population - ✔️✔️A set of all elements about which we wish to draw conclusions

Sample - ✔️✔️A subset of elements of a population

Required for statistical inference

Non-probability sampling - ✔️✔️Convenience sampling

Voluntary sampling

Judgement sampling

Convenience sampling - ✔️✔️Sampling where we select elements because they are
convenient to sample

Voluntary sampling - ✔️✔️Samples in which participants self-select

Frequently used by radio and television

Over represent people with strong opinions


Nominative - ✔️✔️A qualitative variable for which there is no meaningful ordering, or
ranking, of the categories

Example: gender, car color

Ordinal - ✔️✔️A qualitative variable for which there is a meaningful ordering, or
ranking, of the categories

Example: teaching effectiveness

Interval - ✔️✔️All of the characteristics of ordinal plus...

Measurements are on a numerical scale with an arbitrary zero point

Can only meaningfully compare values by the interval between them

Example: temperature

Ratio - ✔️✔️All of the characteristics of interval plus...

Measurements are on a numerical scale with a meaningful zero point

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