A researcher wants to survey 2000 Americans for an obesity study. Match the strategies to their corresponding sampling techniques The researcher posts the survey on the Internet the survey question and waits until 2000 people have responded.
The researcher gets the complete list from the Census Bureau and surveys every 1500th person on the list.
The researcher gets the complete list from the Census Bureau and uses a computer to randomly selc 2000 people.
The researeher makes sure that the proportion of respondents from each state matches the propontion of each state's population to the US population
The researcher picks 20 different small groups:a church group a Democrat club a student club etc. each containing 100 people.
Then the researcher makes sure that everyone from each group answers the survey question.
a. Stratified Sampling
b. Systematic Sampling
c. Simple Random Sampling
d. Cluster Sampling
e. Convenience Sampling
Hint: Sampling Methods License Points possible: 1 This is attempt 1 of 1.

a. The researcher makes sure that the proportion of respondents from each state matches the proportion of each state's population to the US population.

b. The researcher gets the complete list from the Census Bureau and surveys every 1500th person on the list.

c. The researcher gets the complete list from the Census Bureau and uses a computer to randomly select 2000 people.

d. The researcher picks 20 different small groups:a church group a Democrat club a student club etc. each containing 100 people. Then the researcher makes sure that everyone from each group answers the survey question.

e. The researcher posts the survey on the Internet the survey question and waits until 2000 people have responded.  

Step-by-step explanation:

Samples may be classified as:

Convenient: Sample drawn from a conveniently available pool.

Random: Basically, put all the options into a hat and drawn some of them.

Systematic: Every kth element is taken. For example, you want to survey something on the street, you interview every 5th person, for example.

Cluster: Divides population into groups, called clusters, and each element in the cluster is surveyed.

Stratified: Also divides the population into groups. However, then only some elements of the group are surveyed.

The researcher posts the survey on the Internet the survey question and waits until 2000 people have responded.  

First 2000, so convenience.

The researcher gets the complete list from the Census Bureau and surveys every 1500th person on the list.

Every kth element, k = 1500, so systematic.

The researcher gets the complete list from the Census Bureau and uses a computer to randomly select 2000 people.

Randomly selects 2000 people, so random sampling.

The researcher makes sure that the proportion of respondents from each state matches the proportion of each state's population to the US population.

Divides the population into groups(by state), and a few members of each group are surveyed, so stratified.

The researcher picks 20 different small groups:a church group a Democrat club a student club etc. each containing 100 people. Then the researcher makes sure that everyone from each group answers the survey question.

Each element of the cluster is surveyed, so cluster sampling.