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.
what potential sources of bias are present, if any? select all that apply.
a. certain subplots may have more or fewer carrot plants than others. samples from these subplots may bias the overall sample.
b. the sample only consists of the carrot plants that are easiest to reach. this may not be representative of the entire population.
c. it is possible that, due to sampling error, the sample will not be representative.
d. there are no potential sources of bias.

Explanation:

Stratified sampling divides the population into subgroups (strata) and samples from each subgroup. Here, the field is divided into sub - plots (strata) and a sample is taken from each sub - plot. Potential bias can occur if sub - plots have unequal numbers of carrot plants, as samples from these sub - plots may skew the overall sample. Sampling error can also lead to a non - representative sample.

Answer:

What type of sampling is used?
C. Stratified sampling is used, since the field is divided into subplots and a random sample is taken from each subplot.
What potential sources of bias are present, if any? Select all that apply
A. Certain subplots may have more or fewer carrot plants than others. Samples from these subplots may bias the overall sample
C. It is possible that, due to sampling error, the sample will not be representative.