1) Stratified sampling is a probability sampling technique researchers use to divide a small population into overlapping subgroups or strata. a) True b) False 2) The strata or subgroups must be mutually exclusive. This means that the subgroups _______________. a) are internally alike, however, each group is different from the other groups  b) are internally alike and all groups are the same in terms of characteristics being studied c) are internally different, however, each group is the same as the other groups 3) What is a key benefit of using stratified sampling? a) It completely eliminates the need for random selection. b) It ensures that all subgroups within a population are represented. c) It only works for large populations. d) It is the fastest method of sampling for all populations. 4) Why is stratified sampling often more accurate than simple random sampling? a) It reduces the variation within each subgroup, leading to more precise estimates. b) It focuses only on the largest groups, ignoring the smaller ones. c) It allows for random selection across all groups equally. d) It requires less effort to implement than other sampling methods. 5) Stratified sampling is used in quantitative research because it provides a more accurate representation and reliable numerical data. a) True b) False 6) Stratified sampling costs more than other techniques. a) True b) False 7) It is difficult to know the strata when the population is homogeneous. a) True b) False 8) Is stratified sampling used for both quantitative and qualitative research? a) Yes b) No

STRATIFIED SAMPLING TECHNIQUE

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