Humber Marketing Tests New Sales Strategy: Stratified Sampling

In summary, the marketing manager of humber marketing tested a new sales strategy by randomly selecting 250 consumers with a gross income less than $50000 and 250 consumers with a gross income more than $50000. This type of sampling is an example of stratified sampling, which involves dividing the population into different groups or categories and then taking a random sample from each group.
  • #1
aisha
584
0
The marketing manager of humber marketing tests new sales strategy by randomly selecting 250 consumers with a gross income less than $50000, and 250 consumers with a gross income more than 50000. this type of samping is an example of:

a) cluster sampling
b) convenience sampling
c) stratified sampling
d) random sampling
e) systematic sampling

i answered systematic sampling but got it wrong, i know its not cluster sampling...im stuck between the other 3 choices..could some please help fast...thnx
 
Physics news on Phys.org
  • #2
Hint: Neither group of 250 is a representative sample of the entire population. They represent two different CATEGORIES of the population, based on income. (So it's obviously not random sampling!) So you need to find out what kind of sampling corresponds to taking representative samples of various groups or categories of the population based on, for example, income, age, etc. Just look up the def'ns if you can't recall...
 
  • #3


The correct answer is c) stratified sampling. This is because the marketing manager is dividing the population into two distinct groups based on a specific characteristic (gross income) and then randomly selecting a sample from each group. This allows for a more representative sample of the overall population, as it ensures that both low and high income individuals are included in the sample. Random sampling and systematic sampling do not involve dividing the population into groups, and convenience sampling involves selecting individuals who are easily accessible, which is not the case in this scenario.
 

1. What is stratified sampling?

Stratified sampling is a statistical sampling technique where the population is divided into subgroups, or strata, and a random sample is taken from each stratum. This method ensures that the sample is representative of the entire population.

2. Why is stratified sampling important in marketing tests?

Stratified sampling is important in marketing tests because it allows for a more accurate representation of the target market. By dividing the population into smaller subgroups, the sample can capture the diversity and variability within the population, providing more reliable results.

3. How does stratified sampling differ from other sampling methods?

Stratified sampling differs from other sampling methods, such as simple random sampling or cluster sampling, in that it takes into account the variability in the population. This method ensures that each subgroup is represented in the sample, rather than relying on chance to select a diverse sample.

4. What are the benefits of using stratified sampling in marketing tests?

Using stratified sampling in marketing tests can provide more accurate and reliable results, as it takes into account the diversity within the population. This method also allows for comparisons between different subgroups, providing valuable insights for targeted marketing strategies.

5. Are there any limitations to using stratified sampling in marketing tests?

One limitation of using stratified sampling in marketing tests is that it requires prior knowledge of the population and its subgroups. If the population is unknown or difficult to divide into strata, this method may not be feasible. Additionally, stratified sampling can be more time-consuming and costly compared to other sampling methods.

Similar threads

  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
3K
  • Introductory Physics Homework Help
Replies
2
Views
2K
  • Engineering and Comp Sci Homework Help
Replies
5
Views
5K
Replies
6
Views
3K
Back
Top