Humber Marketing Tests New Sales Strategy: Stratified Sampling

AI Thread Summary
Humber Marketing's new sales strategy involves stratified sampling, where the marketing manager selects two distinct groups of consumers based on income levels: those earning less than $50,000 and those earning more. This approach ensures that both low and high-income individuals are represented in the sample, enhancing the overall representativeness of the data collected. The correct answer to the sampling method used is stratified sampling, as it divides the population into categories before sampling. Random and systematic sampling do not involve this division, while convenience sampling selects easily accessible individuals. This method is effective for obtaining insights across different income brackets.
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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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