BUAL 2600 Yan Exam 1 With Questions and Graded A+ Answers
Data - Answer-Facts and figures from which conclusions can be drawn
Data Set - Answer-The data that are collected for a particular study
Variable - Answer-any characteristic of an element
Quantitative Variables - Answer-The possible measurements of the values of a variable are
numbers that represent quantities
Ex: Age
Qualitative (Categorical) Variables - Answer-Labels or names used to identify an attribute of
each element
Ex: Names, addresses, phone numbers
Cross Sectional Data - Answer-Data collected at. the same time or approximately the same
time
Time Series Data - Answer-Data collected over different time periods
Population - Answer-A set of all elements about which we draw conclusions
Sample - Answer-A. subset of all the elements in a population
Probability Sampling - Answer-Sampling where we know the change that each element in
the population will be included in the sequence
convience sampling - Answer-sampling where we select elements because they are
convenient to sample
, not a probability sample
voluntary response sampling - Answer-samples in which participants self-select
-frequently used by radio and television
-over represent people with strong opinions
judgements sampling - Answer-samples in which a person who is extremely knowledgable
about the population selects population elements he or she feels are most representative
nominative variable - Answer-a qualitative variable for which there is no meaningful
ordering, or ranking, of the categories
Ex: gender, car color
ordinal variable - Answer-A qualitative variable for which there is a meaningful ordering or
ranking of the categories.
Ex: teaching effectiveness
interval variable - Answer-All of the characteristics of ordinal (meaningful ranking) plus...
measurements are on a numerical scale with an arbitrary zero point and can only
meaningfully compare values by the interval between them
Ex: Temperature
ratio variable - Answer-interval plus Measurements are on a numerical scale with a
meaningful zero point such as anything related to money
Ex: Earnings, profit, loss, age, distance, height
stratified random sampling - Answer-divide population into non-overlapping groups (strata)
then select a random sample from each strata
multistage cluster sampling - Answer-divide population into clusters and then randomly
select clusters to sample
Data - Answer-Facts and figures from which conclusions can be drawn
Data Set - Answer-The data that are collected for a particular study
Variable - Answer-any characteristic of an element
Quantitative Variables - Answer-The possible measurements of the values of a variable are
numbers that represent quantities
Ex: Age
Qualitative (Categorical) Variables - Answer-Labels or names used to identify an attribute of
each element
Ex: Names, addresses, phone numbers
Cross Sectional Data - Answer-Data collected at. the same time or approximately the same
time
Time Series Data - Answer-Data collected over different time periods
Population - Answer-A set of all elements about which we draw conclusions
Sample - Answer-A. subset of all the elements in a population
Probability Sampling - Answer-Sampling where we know the change that each element in
the population will be included in the sequence
convience sampling - Answer-sampling where we select elements because they are
convenient to sample
, not a probability sample
voluntary response sampling - Answer-samples in which participants self-select
-frequently used by radio and television
-over represent people with strong opinions
judgements sampling - Answer-samples in which a person who is extremely knowledgable
about the population selects population elements he or she feels are most representative
nominative variable - Answer-a qualitative variable for which there is no meaningful
ordering, or ranking, of the categories
Ex: gender, car color
ordinal variable - Answer-A qualitative variable for which there is a meaningful ordering or
ranking of the categories.
Ex: teaching effectiveness
interval variable - Answer-All of the characteristics of ordinal (meaningful ranking) plus...
measurements are on a numerical scale with an arbitrary zero point and can only
meaningfully compare values by the interval between them
Ex: Temperature
ratio variable - Answer-interval plus Measurements are on a numerical scale with a
meaningful zero point such as anything related to money
Ex: Earnings, profit, loss, age, distance, height
stratified random sampling - Answer-divide population into non-overlapping groups (strata)
then select a random sample from each strata
multistage cluster sampling - Answer-divide population into clusters and then randomly
select clusters to sample
