Module 3 CNSL 503 2026 Exam
Questions with 100% Correct
Answers | Latest Update
5 types of Samples - ANSWER ✔✔Simple Random- every member
of the population has an equal chance of being selected
Stratified- population can be divided into subgroups called strata, and
randomly gathering data from those subgroups
, Cluster- dividing a population into subgroups known as clusters and then
randomly selecting several groups (clusters) for the study
Systematic- establishing a rule for how sample members will be selected
Convenience - selecting individuals because they just happen to be at a
certain place
Sample Error vs Non-Sampling Error - ANSWER ✔✔Sampling Error-
any deviation between the parameter and statistic
^^Eliminate by increasing sample size
Non-Sampling or sample bias- the researcher has made a mistake in the
data collection
Three types of Bias - ANSWER ✔✔Measurement: misleading
questions on a survey
Response: response to surveys with inaccurate responses
Selection: not a truly representative sample of the population
Questions with 100% Correct
Answers | Latest Update
5 types of Samples - ANSWER ✔✔Simple Random- every member
of the population has an equal chance of being selected
Stratified- population can be divided into subgroups called strata, and
randomly gathering data from those subgroups
, Cluster- dividing a population into subgroups known as clusters and then
randomly selecting several groups (clusters) for the study
Systematic- establishing a rule for how sample members will be selected
Convenience - selecting individuals because they just happen to be at a
certain place
Sample Error vs Non-Sampling Error - ANSWER ✔✔Sampling Error-
any deviation between the parameter and statistic
^^Eliminate by increasing sample size
Non-Sampling or sample bias- the researcher has made a mistake in the
data collection
Three types of Bias - ANSWER ✔✔Measurement: misleading
questions on a survey
Response: response to surveys with inaccurate responses
Selection: not a truly representative sample of the population
