OPRE 6301 Test 2 EXAM | FREQUENTLY TESTED QUESTIONS
WITH CORRECT ANSWERS | BRAND NEW!
Methods of collecting data - (ANSWERS)direct observation
Experiments
Surveys- solicits information from people
Why we take samples - (ANSWERS)To contact the whole population
would be time consuming
The cost of studying all the items in a population may be prohibitive
The physical impossibility of checking all items in the population
The destructive nature of some tests
The sample results are adequate
*simple random sample - (ANSWERS)each item or person in the
population has the same chance of being included
Names of 25 employees being chosen out of a hat from a company of 250
employees
,OPRE 6301 Test 2 EXAM | FREQUENTLY TESTED QUESTIONS
WITH CORRECT ANSWERS | BRAND NEW!
*systematic random sampling - (ANSWERS)The items or individuals of the
population are arranged in some order. A random starting point is selected
and then every kth member of the population is selected for the sample.
A population consists of 845 employees of Nitra Industries. A sample of 52
employees is to be selected from that population.
First, k is calculated as the population size divided by the sample size. For
Nitra Industries, we would select every 16th (845/52) employee list. If k is
not a whole number, then round down. Random sampling is used in the
selection of the first name. Then, select every 16th name on the list
thereafter
*stratified random sampling - (ANSWERS)A population is first divided
into subgroups, called strata, and a sample is selected from each stratum
Useful when a population can be clearly divided in groups based on some
characteristics
If we only have sufficient resources to sample 400 people total, we would
draw 100 of them from the low income group...
*cluster sampling - (ANSWERS)A population is divided into clusters using
naturally occurring geographic or other boundaries. Then, clusters are
randomly selected and a sample is collected by randomly selecting from
,OPRE 6301 Test 2 EXAM | FREQUENTLY TESTED QUESTIONS
WITH CORRECT ANSWERS | BRAND NEW!
each cluster.
Subdivide the state into small units—either counties or regions, then take
samples of the residents in each of these regions and interview them.
Sample size - (ANSWERS)The number of subjects used in an experiment
or study
The larger the better
*sampling error - (ANSWERS)differences between the sample and the
population that exist only because of the observations that happened to be
selected for the sample
Increasing sample size will reduce this error
*nonsampling error - (ANSWERS)more serious and are due to mistakes
made in the acquisition of data or due to the sample observations being
selected improperly
Errors in data acquisition
Nonresponse errors
Selection bias
, OPRE 6301 Test 2 EXAM | FREQUENTLY TESTED QUESTIONS
WITH CORRECT ANSWERS | BRAND NEW!
Increasing sample size will not reduce this error
*errors in data acquisition - (ANSWERS)recording of incorrect responses,
due to:
— incorrect measurements being taken because of faulty equipment,
— mistakes made during transcription from primary sources,
— inaccurate recording of data due to misinterpretation of terms, or
— inaccurate responses to questions concerning sensitive issues
*nonresponse error - (ANSWERS)error (or bias) introduced when
responses are not obtained from some members of the sample, i.e. The
sample observations that are collected may not be representative of the
target population
Response rate - (ANSWERS)the proportion of all people selected who
complete a survey
Key survey parameter and helps in the understanding in the validity of the
survey and sources of nonresponse error
*selection bias - (ANSWERS)the sampling plan is such that some members
WITH CORRECT ANSWERS | BRAND NEW!
Methods of collecting data - (ANSWERS)direct observation
Experiments
Surveys- solicits information from people
Why we take samples - (ANSWERS)To contact the whole population
would be time consuming
The cost of studying all the items in a population may be prohibitive
The physical impossibility of checking all items in the population
The destructive nature of some tests
The sample results are adequate
*simple random sample - (ANSWERS)each item or person in the
population has the same chance of being included
Names of 25 employees being chosen out of a hat from a company of 250
employees
,OPRE 6301 Test 2 EXAM | FREQUENTLY TESTED QUESTIONS
WITH CORRECT ANSWERS | BRAND NEW!
*systematic random sampling - (ANSWERS)The items or individuals of the
population are arranged in some order. A random starting point is selected
and then every kth member of the population is selected for the sample.
A population consists of 845 employees of Nitra Industries. A sample of 52
employees is to be selected from that population.
First, k is calculated as the population size divided by the sample size. For
Nitra Industries, we would select every 16th (845/52) employee list. If k is
not a whole number, then round down. Random sampling is used in the
selection of the first name. Then, select every 16th name on the list
thereafter
*stratified random sampling - (ANSWERS)A population is first divided
into subgroups, called strata, and a sample is selected from each stratum
Useful when a population can be clearly divided in groups based on some
characteristics
If we only have sufficient resources to sample 400 people total, we would
draw 100 of them from the low income group...
*cluster sampling - (ANSWERS)A population is divided into clusters using
naturally occurring geographic or other boundaries. Then, clusters are
randomly selected and a sample is collected by randomly selecting from
,OPRE 6301 Test 2 EXAM | FREQUENTLY TESTED QUESTIONS
WITH CORRECT ANSWERS | BRAND NEW!
each cluster.
Subdivide the state into small units—either counties or regions, then take
samples of the residents in each of these regions and interview them.
Sample size - (ANSWERS)The number of subjects used in an experiment
or study
The larger the better
*sampling error - (ANSWERS)differences between the sample and the
population that exist only because of the observations that happened to be
selected for the sample
Increasing sample size will reduce this error
*nonsampling error - (ANSWERS)more serious and are due to mistakes
made in the acquisition of data or due to the sample observations being
selected improperly
Errors in data acquisition
Nonresponse errors
Selection bias
, OPRE 6301 Test 2 EXAM | FREQUENTLY TESTED QUESTIONS
WITH CORRECT ANSWERS | BRAND NEW!
Increasing sample size will not reduce this error
*errors in data acquisition - (ANSWERS)recording of incorrect responses,
due to:
— incorrect measurements being taken because of faulty equipment,
— mistakes made during transcription from primary sources,
— inaccurate recording of data due to misinterpretation of terms, or
— inaccurate responses to questions concerning sensitive issues
*nonresponse error - (ANSWERS)error (or bias) introduced when
responses are not obtained from some members of the sample, i.e. The
sample observations that are collected may not be representative of the
target population
Response rate - (ANSWERS)the proportion of all people selected who
complete a survey
Key survey parameter and helps in the understanding in the validity of the
survey and sources of nonresponse error
*selection bias - (ANSWERS)the sampling plan is such that some members
