BUAL 2600 Test 1 Auburn Questions And Answers With Verified Solutions
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Course
BUAL 2600 Auburn
Institution
BUAL 2600 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 represe...
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
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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