Answer:
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Answer: Stratified random sampling
Explanation:
In stratified random sampling the population of choice is partitioned into subgroups. Then the samples for study are selected randomly from the subgroups.
The given situation is the example of stratified random sampling this is because of the fact that the population is divided into subgroups on the basis of the social class and age. Then the voters were randomly selected from each subgroup.
C.) Illuminate the researcher's analysis and interpretation, I believe.
Answer:
A
Explanation:
if the level of significance is increased, the interval for the population proportion will become narrower. using α = 0.05, a confidence interval for a population proportion is determine to be 0.15 to 0.35 if the level of interval is decreased
