OPRE 6301 TEST 2 EXAM WITH CORRECT
ACTUAL QUESTIONS AND CORRECTLY WELL
DEFINED ANSWERS LATEST ALREADY GRADED
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Terms in this set (74)
methods of collecting data direct observation
experiments
surveys- solicits information from people
why we take samples 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 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
*systematic random sampling 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 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 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 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 The number of subjects used in an experiment or
study
the larger the better
*sampling error 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
ACTUAL QUESTIONS AND CORRECTLY WELL
DEFINED ANSWERS LATEST ALREADY GRADED
A+
Save
Terms in this set (74)
methods of collecting data direct observation
experiments
surveys- solicits information from people
why we take samples 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 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
*systematic random sampling 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 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 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 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 The number of subjects used in an experiment or
study
the larger the better
*sampling error 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
