Identifying Sampling Techniques In Exercises 23-30, identify the sampling technique used, and discuss potential sources of bias (if any). Explain.

1.Using random digit dialing, researchers call 1400 people and ask what obstacles (such as childcare) keep them from exercising.

2.Chosen at random, 500 rural and 500 urban people age 65 or older are asked about their health and their experience with prescription drugs.

3.Questioning students as they leave a university library, a researcher asks 358 students about their drinking habits.

4.After a hurricane, a disaster area is divided into 200 equal grids. Thirty of the grids are selected, and every occupied household in the grid is interviewed to help focus relief efforts on what residents require the most.

5.Chosen at random, 580 customers at a car dealership are contacted and asked their opinions of the service they received.

6.Every tenth person entering a mall is asked to name his or her favorite store.

7.Soybeans are planted on a 48-acre field. The field is divided into one-acre subplots. A sample is taken from each subplot to estimate the harvest.

8.From calls made with randomly generated telephone numbers, 1012 respondents are asked if they rent or own their residences.