Chapter 11.1, Problem 32HP

a.

To determine

Describe convenience sample.

Answer to Problem 32HP

This method is bias as the sample is not truly random and does not accurately represent the population.

Explanation of Solution

Given information:

Sampling method.

Calculation:

It is a kind of non-probability sampling, in it a sample is drawn from population that is readily available. Well the sample is not a proper representation of the population.

Hence, this method is bias as the sample is not truly random and does not accurately represent the population.

b.

To determine

Describe self selected sample.

Answer to Problem 32HP

The bias in this of sampling can arise due to some inherent bias in the characteristics of the study subjects.

Explanation of Solution

Given information:

Sampling method.

Calculation:

It is a kind of non-probability sampling, in it a sample is drawn from population by inviting participants to take part in the study. The advantage of this kind is that the potential subjects contact the researcher, the time taken to build a sample for the study can be reduced, the bias in this of sampling can arise due to some inherent bias in the characteristics of the study subjects.

Hence, the bias in this of sampling can arise due to some inherent bias in the characteristics of the study subjects.

c.

To determine

Describe stratified sample.

Answer to Problem 32HP

Hence, the chances of bias occuring with this method are below.

Explanation of Solution

Given information:

Sampling method.

Calculation:

It is a kind of probability sampling, in it a sample is drawn by selecting participants that belong to different groups of the population.

The advantage of this kind is that the sample is a very good representation of the population. The chances of bias occuring with this method are below. But it can be carried out if the population can properly be grouped or divided into different group.

Hence, the chances of bias occuring with this method are below.

d.

To determine

Describe systematic sample.

Answer to Problem 32HP

The chances of bias occurring with this method are low.

Explanation of Solution

Given information:

Sampling method.

Calculation:

It is a kind of probability sampling, in this kind of sampling, every unit in the population has an equal chance of being included in the sample. For example sample size is $n$ and the population size is $N$ . Thus to build the sample select one participant out of every $N/n$ unit in the population according to some random rule similar to stratified sampling,

Hence, the chances of bias occurring with this method are low.