Question

identify the sampling techniques used, and discuss potential sources of bias (if any). explain. carrots are planted on a 53 - acre field. the field is divided into one - acre subplots. a sample is taken from each subplot to estimate the harvest. what type of sampling is used? a. simple random sampling is used, since each sample of carrot plants of the same amount has the same chance of being selected. b. convenience sampling is used, since the carrot plants closest to the barn are sampled. c. stratified sampling is used, since the field is divided into subplots and a random sample is taken from each subplot. d. cluster sampling is used, since the field is divided into subplots, a number of subplots are selected, and every carrot plant in the selected subplots is sampled.

Explanation:

Stratified sampling divides the population into subgroups (strata) and samples from each subgroup. Here, the field is divided into one - acre subplots (strata) and a sample is taken from each subplot. This is different from simple random sampling (no division into strata), convenience sampling (no mention of convenience - related selection), and cluster sampling (where whole clusters are sampled instead of samples from each sub - group).

Answer:

C. Stratified sampling is used, since the field is divided into subplots and a random sample is taken from each subplot