Term
|
Definition
|
measure of variability or measuring the deviation from the mean
|
|
|
Term
|
Definition
|
As the number in the same increases the Sum of all x's across n tends toward normal distribution
|
|
|
Term
|
Definition
|
for any k ge 1, at (1-1/k squared) of the measurements in any set must lie with in k SD of their mean
|
|
|
Term
|
Definition
|
closely approximates a normal distribution if n is reasonably large but no more the 20 percent of the total population
|
|
|
Term
| 2 measures of variable dependence |
|
Definition
1. covariance
2. simple coefficient of linear correlation
|
|
|
Term
| coefficient of correlation |
|
Definition
|
|
Term
| purpose of sample surveys |
|
Definition
|
to estimate numerical characteristics called parameters like mean, total, or variance
|
|
|
Term
|
Definition
object on which a measurement is take
Ex. a registered voter in community
|
|
|
Term
|
Definition
a collection of elements about which we wish to make an inference
Ex. collection of voters in a community
|
|
|
Term
|
Definition
nonoverlapping collection of elements from the population that covers the entire population
Ex. households
|
|
|
Term
|
Definition
list of sampling units
Ex. list of all registered voter's households
|
|
|
Term
|
Definition
|
a collection of sampling units drawn from a frame or frames
|
|
|
Term
|
Definition
|
sample designs based on planned randomness
|
|
|
Term
|
Definition
|
selecting a group of n sampling units in a way that each sample of size n has the same chance of being selected
|
|
|
Term
|
Definition
|
dividing the population elements into 2 or more groups (strata) and select a simple random sample from each group
|
|
|
Term
|
Definition
|
divide the population into groups by simple random sample then sample items within the cluster
|
|
|
Term
|
Definition
|
selecting every nth person
|
|
|
Term
|
Definition
|
selecting randomly until reach a limit that matches the population (in all determining factors)
|
|
|
Term
|
Definition
|
unclustered directory-assisted, random-digit telephone samples - proportuate stratified sampling design
|
|
|
Term
|
Definition
|
differences in population between unlisted and listed telephone customers systematicly effects survey results of only listed telephone numbers
|
|
|
Term
|
Definition
-when recorded data deviates from the truth
-by sampling coverage or nonresponse due to interviewer, respondent, instrument, or method of data collection
|
|
|
Term
|
Definition
|
the deviation between an estimate from an ideal sample and the population environment
|
|
|
Term
|
Definition
|
the sampling frame does not matchup perfectly with the target population
|
|
|
Term
|
Definition
3 ways:
1. inability to contact element
2. inability for respondent to answer
3. refusal to answer
|
|
|
Term
| What are the benefits and problems of personal interviews? |
|
Definition
benefits: usually answer questions and able to note reaction and eliminate misunderstandings
problems: cost and trained interviewers
|
|
|
Term
| What are the benefits of telephone interviews? |
|
Definition
interviews can be supervised
less cost
random digit dialing (only 20% of numbers are residential)
|
|
|
Term
| Benefits and problems of Self-Administered Questionaires |
|
Definition
lowest rate of response
low costs
|
|
|
Term
|
Definition
|
usually not studies with people or using medical records
|
|
|
Term
| What are some methods to reduce errors in surveys? |
|
Definition
1. Callbacks - use different times
2. rewards to participate - offered only after being randomly selected
3. train interviewers
4. check data
5. carefully planned questionaires
|
|
|
Term
|
Definition
|
the procedure for selecting the sample
|
|
|
Term
|
Definition
|
a type of sampling procedure in which a sample of size n is drawn from a population of size N such that every possible sample of size n has the same chance of being selected
|
|
|
Term
|
Definition
|
seperating the population elements into nonoverlapping groups and then selecting a simple random sample
|
|
|
Term
| What are three reasons to stratify? |
|
Definition
1. produce a smaller bound on the error of estimation
2. cost
3. to find information about each strata (domain)
|
|
|
Term
| What three factors are used to allocate samples when stratifying? |
|
Definition
1. total number of elements in each stratum
2. the variability of observations within each stratum
3. the cost of obtaining an observations from each stratum
|
|
|
Term
| What are the three methods of stratifying? |
|
Definition
1. proprotional
2. Neyman
3. Optimal
|
|
|