Upgrade to remove ads
Only $35.99/year

Marketing Research 4050 exam 2

Terms in this set (11)

Census
A type of sampling plan in which data are collected from or about each member of a population.
sample
Selection of a subset of elements from a larger group of objects.
- sampling plan
- do this most of the time
(i.e., companies, products, and so forth) to be surveyed, interviewed, or observed
parameters
any population has certain characteristics, these characteristics are called parameters, and we assume that if we could take measurements of these characteristics from all population elements, without any kind of error getting in our data, then we would know what is true about the population on these parameters
- A PARAMETER IS A CHARACTERISTIC OR MEASURE OF A POPULATION
statistic
we work with statistics, which are characteristics or measure of a sample, to draw inferences about the larger population's parameters
- A CHARACTERISTIC OR MEASURE OF A SAMPLE
sampling error
The difference between results obtained from a sample and results that would have been obtained had information been gathered from or about every member of the population.
identifying a sampling frame
once you have defined the population, the next step is to find an adequate sampling frame, a listing of population elements from which you'll draw the sample
**sampling frame- The list of population elements from which a sample will be drawn; the list might consist of geographic areas, institutions, individuals, or other units.
non-probability sample
A sample that relies on personal judgment in the element selection process.
- three common types: convenience sample, judgement samples, and quote samples
probability sample
A sample in which each target population element has a known, nonzero chance of being included in the sample.
- in a probability sample, each member of the target population has a known, nonzero chance of being included in the sample
sampling interval
The number of population elements to count (k) when selecting the sample members in a systematic sample.
- calculating the sample interval: you divide the number of population elements in the sampling frame by the number of elements that we need to draw to obtain the sample size we want
total sampling elements (TSE)
The number of population elements that must be drawn from the population and included in the initial sample pool in order to end up with the desired sample size.
- the initial number of sample size, you start with a larger number of population in order to end up with the desired sample size. (this is the TSE)
factors that influence sample size
1. the amount of diversity or variation of the parameter in question within the population
Other sets by this creator