CNSL 503 QUESTIONS WITH CORRECT
ANSWERS 2026
statistic - CORRECT ANSWER -
numerical value that is generated from the individual scores in the dataset of a sample
Parameter -kCORRECT ANSWER -
a numerical value generated from the individual scores in the dataset of the entire population. Remembe
r this saying: statistic = sample; parameter = population.
representative sample - CORRECT ANSWER -
composed of members that generally possess the same characteristics as those of the population.
Random sampling, - CORRECT ANSWER -
Random sampling, in which every member of the population has an equal chance of beingkselected, incre
ases the reliability of the study results. Random sampling is a form of probability sampling, where each m
ember iskindependent of the others
Simple random sampling -kCORRECT ANSWER -
each individual in the population of size has an equal chance of being selected for the sample. If you have
ever written individual names on separate pieces of paper, placed all the pieces of paper in a hat, and sele
cted nameskfrom the hat, you have conducted simple random sampling
Simple random sampling relies on chance in order to create a representative sample. It is not practical to
use this method for large populations,
Stratified sampling - CORRECT ANSWER -a population can be divided into subgroups called strata.
randomly gathering data from subgroups within a sample. Strata such as race, gender, and socioeconomic
status are clearly defined
Stratified sampling is used when the researcher wants to compare outcomes for different subgroups withi
n a population or to compare outcomes between subgroups. There are two types of stratified samplingk-
proportional and non-proportiona
ANSWERS 2026
statistic - CORRECT ANSWER -
numerical value that is generated from the individual scores in the dataset of a sample
Parameter -kCORRECT ANSWER -
a numerical value generated from the individual scores in the dataset of the entire population. Remembe
r this saying: statistic = sample; parameter = population.
representative sample - CORRECT ANSWER -
composed of members that generally possess the same characteristics as those of the population.
Random sampling, - CORRECT ANSWER -
Random sampling, in which every member of the population has an equal chance of beingkselected, incre
ases the reliability of the study results. Random sampling is a form of probability sampling, where each m
ember iskindependent of the others
Simple random sampling -kCORRECT ANSWER -
each individual in the population of size has an equal chance of being selected for the sample. If you have
ever written individual names on separate pieces of paper, placed all the pieces of paper in a hat, and sele
cted nameskfrom the hat, you have conducted simple random sampling
Simple random sampling relies on chance in order to create a representative sample. It is not practical to
use this method for large populations,
Stratified sampling - CORRECT ANSWER -a population can be divided into subgroups called strata.
randomly gathering data from subgroups within a sample. Strata such as race, gender, and socioeconomic
status are clearly defined
Stratified sampling is used when the researcher wants to compare outcomes for different subgroups withi
n a population or to compare outcomes between subgroups. There are two types of stratified samplingk-
proportional and non-proportiona
