Humber Marketing Tests New Sales Strategy: Stratified Sampling

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SUMMARY

The discussion centers on Humber Marketing's implementation of a new sales strategy utilizing stratified sampling. The marketing manager selected 250 consumers from two distinct income groups: those earning less than $50,000 and those earning more than $50,000. The correct sampling method identified is stratified sampling, as it involves dividing the population into categories based on income and randomly selecting samples from each group. This approach ensures a more representative sample of the overall population compared to random or systematic sampling methods.

PREREQUISITES
  • Understanding of stratified sampling methodology
  • Familiarity with consumer income categorization
  • Knowledge of sampling techniques in marketing research
  • Basic statistics related to sample representation
NEXT STEPS
  • Research the principles of stratified sampling in marketing
  • Explore case studies on effective stratified sampling strategies
  • Learn about the differences between stratified, random, and systematic sampling
  • Investigate tools for analyzing consumer demographics in market research
USEFUL FOR

Marketing professionals, data analysts, and researchers involved in consumer behavior studies will benefit from this discussion, particularly those focusing on sampling techniques for market analysis.

aisha
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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
 
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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...
 


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.
 

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