4/15/25, 10:55 BUAL 2600 Yan Exam 1 |
AM
BUAL 2600 YAN EXAM 1 QUESTIONS AND ANSWERS WITH
COMPLETE SOLUTIONS
4.9 (10 reviews)
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Practice questions for this set
Learn 1/7 Study using Learn
Facts and figures from which conclusions can be drawn
Select the correct term
1Fact 2Wisdom
3Population 4Data
Don't know?
Terms in this set (72)
Data Facts and figures from which conclusions can be drawn
Data Set The data that are collected for a particular study
Variable any characteristic of an element
The possible measurements of the values of a variable are numbers that
Quantitative Variables represent quantities
Ex: Age
Labels or names used to identify an attribute of each element
Qualitative (Categorical) Variables
Ex: Names, addresses, phone numbers
Cross Sectional Data Data collected at. the same time or approximately the same time
Time Series Data Data collected over different time periods
Population A set of all elements about which we draw conclusions
Sample A. subset of all the elements in a population
Sampling where we know the change that each element in the population will be
Probability Sampling
included in the sequence
sampling where we select elements because they are convenient to sample
convience sampling
not a probability sample
1/
5
, 4/15/25, 10:55 BUAL 2600 Yan Exam 1 |
AM
samples in which participants self-select
voluntary response sampling -frequently used by radio and television
-over represent people with strong opinions
samples in which a person who is extremely knowledgable about the population
judgements sampling
selects population elements he or she feels are most representative
a qualitative variable for which there is no meaningful ordering, or ranking, of the
nominative variable categories
Ex: gender, car color
A qualitative variable for which there is a meaningful ordering or ranking of the
ordinal variable categories.
Ex: teaching effectiveness
All of the characteristics of ordinal (meaningful ranking) plus... measurements are
on a numerical scale with an arbitrary zero point and can only meaningfully
interval variable
compare values by the interval between them
Ex: Temperature
interval plus Measurements are on a numerical scale with a meaningful zero
ratio variable point such as anything related to money
Ex: Earnings, profit, loss, age, distance, height
divide population into non-overlapping groups (strata) then select a random
stratified random sampling
sample from each strata
multistage cluster sampling divide population into clusters and then randomly select clusters to sample
systematic sampling list population, select random starting point, sample each nth element
-clearly stated
-easy to answer
dichotomous questions
-easy to analyze
-limited information
-allow more than two responses
multiple choice questions
-usually analyzed with averages
-most honest and complete information
open-ended questions
-cannot be readily summarized
-inexpensive
phone surveys
-low response rate
-inexpensive
mail surveys -low response rate (20-30%)
-requires multiple mailings
-cheaper still
web surveys
-same problems as mail surveys
-more expensive
personal interviews -more control
-higher response rates
relative frequency summarizes a proportion of items in each class
2/
5
AM
BUAL 2600 YAN EXAM 1 QUESTIONS AND ANSWERS WITH
COMPLETE SOLUTIONS
4.9 (10 reviews)
Save
Practice questions for this set
Learn 1/7 Study using Learn
Facts and figures from which conclusions can be drawn
Select the correct term
1Fact 2Wisdom
3Population 4Data
Don't know?
Terms in this set (72)
Data Facts and figures from which conclusions can be drawn
Data Set The data that are collected for a particular study
Variable any characteristic of an element
The possible measurements of the values of a variable are numbers that
Quantitative Variables represent quantities
Ex: Age
Labels or names used to identify an attribute of each element
Qualitative (Categorical) Variables
Ex: Names, addresses, phone numbers
Cross Sectional Data Data collected at. the same time or approximately the same time
Time Series Data Data collected over different time periods
Population A set of all elements about which we draw conclusions
Sample A. subset of all the elements in a population
Sampling where we know the change that each element in the population will be
Probability Sampling
included in the sequence
sampling where we select elements because they are convenient to sample
convience sampling
not a probability sample
1/
5
, 4/15/25, 10:55 BUAL 2600 Yan Exam 1 |
AM
samples in which participants self-select
voluntary response sampling -frequently used by radio and television
-over represent people with strong opinions
samples in which a person who is extremely knowledgable about the population
judgements sampling
selects population elements he or she feels are most representative
a qualitative variable for which there is no meaningful ordering, or ranking, of the
nominative variable categories
Ex: gender, car color
A qualitative variable for which there is a meaningful ordering or ranking of the
ordinal variable categories.
Ex: teaching effectiveness
All of the characteristics of ordinal (meaningful ranking) plus... measurements are
on a numerical scale with an arbitrary zero point and can only meaningfully
interval variable
compare values by the interval between them
Ex: Temperature
interval plus Measurements are on a numerical scale with a meaningful zero
ratio variable point such as anything related to money
Ex: Earnings, profit, loss, age, distance, height
divide population into non-overlapping groups (strata) then select a random
stratified random sampling
sample from each strata
multistage cluster sampling divide population into clusters and then randomly select clusters to sample
systematic sampling list population, select random starting point, sample each nth element
-clearly stated
-easy to answer
dichotomous questions
-easy to analyze
-limited information
-allow more than two responses
multiple choice questions
-usually analyzed with averages
-most honest and complete information
open-ended questions
-cannot be readily summarized
-inexpensive
phone surveys
-low response rate
-inexpensive
mail surveys -low response rate (20-30%)
-requires multiple mailings
-cheaper still
web surveys
-same problems as mail surveys
-more expensive
personal interviews -more control
-higher response rates
relative frequency summarizes a proportion of items in each class
2/
5
