D. C. D. IUget à significant result So that we can make causal conclusions To av

Question

D. C. D. IUget à significant result So that we can make causal conclusions To avoid bias and to get a representative sample Question 2 Which of the following is an example of stratified sampling? Select one answer. o points A. . In order to assess public ttitudes on good nutrition the the first B. Proponents of a local ballot measure cond C. A sample of 37 people who came to speak before the city council on the proposed water D. The human resources department of a large retail chain wanted to assess the job 40 people to leave a large grocery store were interviewed. 100 potential voters from each of its 18 zip codes. conservation plan were surveyed. satisfaction of the retail workers. The department chose 25 of the company's stores at uct a survey of the city by randomly selecting random, and used all of the workers in those 25 branches as the subjects for the study E. A poll asked a random sample of 1,327 adults whether they supported stronger gun control measures. Question 3

Explanation / Answer

In stratified sample, the total population is divided in to different groups (stratas) and then sample is randomly drawn from each strata.

Here, the answer is B. In the poll, 100 samples from each of the 18 zip codes are selected. Each zip code area is a strata here. The random sample of 100 is take from each strata. So, this is an example of stratified sampling.

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