SCRIBEAMERICA FINAL EXAM 2026
COMPREHENSIVE TEST PAPER WITH 100%
ACCURATE ANSWERS GRADED A+
⫸ Nonprobability Sampling - Sampling methods in which the
probability of selection of population elements is unknown
⫸ Population - The entire set of individuals or other entities to which
study findings are to be generalized
⫸ Probability Sampling - Sampling methods that rely on a random, or
chance, selection method so that the probability of selection of
population elements is known.
⫸ Purposive Sampling - A sampling method in which elements are
selected for a purpose, usually because of their unique position.
⫸ Random Sampling - A sampling method that relies on a random or
chance selection method so that every element of the sampling frame has
a known probability of selection
⫸ Representative Sample - A sample that "looks like" the population
from which it was selected in all respects that are potentially relevant to
the study
, ⫸ Sample - A subset of the population that is used to study the
population as a whole
⫸ Sampling Error - Any difference between the characteristics of a
sample and the characteristics of a population. The larger the sampling
error, the less representative the sample.
⫸ Sampling Frame - a list of all elements or other units containing the
elements in a population
⫸ Simple Random Sampling - A sampling method in which every
sample element is selected only on the basis of chance through a random
process-use random numbers table
⫸ Snowball Sampling - A sampling method in which sample elements
are selected as they are identified by successive informants of
interviewees.
⫸ Units of analysis - The level of social life on which a research
question is focused, such as individuals, families, households, groups,
neighborhoods, or communities.
⫸ Units of observation - The cases from which measures or information
are obtained in a sample.
COMPREHENSIVE TEST PAPER WITH 100%
ACCURATE ANSWERS GRADED A+
⫸ Nonprobability Sampling - Sampling methods in which the
probability of selection of population elements is unknown
⫸ Population - The entire set of individuals or other entities to which
study findings are to be generalized
⫸ Probability Sampling - Sampling methods that rely on a random, or
chance, selection method so that the probability of selection of
population elements is known.
⫸ Purposive Sampling - A sampling method in which elements are
selected for a purpose, usually because of their unique position.
⫸ Random Sampling - A sampling method that relies on a random or
chance selection method so that every element of the sampling frame has
a known probability of selection
⫸ Representative Sample - A sample that "looks like" the population
from which it was selected in all respects that are potentially relevant to
the study
, ⫸ Sample - A subset of the population that is used to study the
population as a whole
⫸ Sampling Error - Any difference between the characteristics of a
sample and the characteristics of a population. The larger the sampling
error, the less representative the sample.
⫸ Sampling Frame - a list of all elements or other units containing the
elements in a population
⫸ Simple Random Sampling - A sampling method in which every
sample element is selected only on the basis of chance through a random
process-use random numbers table
⫸ Snowball Sampling - A sampling method in which sample elements
are selected as they are identified by successive informants of
interviewees.
⫸ Units of analysis - The level of social life on which a research
question is focused, such as individuals, families, households, groups,
neighborhoods, or communities.
⫸ Units of observation - The cases from which measures or information
are obtained in a sample.
