Sampling Flashcards

1
Q

Why should a business sample?

A
  • business cannot question every person or observe every business
  • instead they take samples
  • involves questioning a selection of the customers/potential customers who represent the target market being researched
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2
Q

What are the three key sampling methods?

A
  • random
  • quota
  • stratified
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3
Q

What is random sampling?

A
  • chosen without bias
  • choosing them off the street isn’t random as there’s reasons why interviewer selected them
  • so individual is chosen by chance and each member of the population has an equal chance of being included
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4
Q

What is Quota sampling?

A
  • interviewers target particular characteristics

- interviewer may have pre-requisites when interviewing

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5
Q

What is stratified sampling?

A
  • unrealistic to think every person will share exact characteristics
  • stratified divides population into sub populations
  • will ensure the sample is more representative of whole population
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6
Q

What defines the accuracy of the sample?

A
  • sample can be measured by a confidence level
  • 80% level suggests that sample would be right 8/10 times
  • can be expresses as a number, e.g. +-5, called a confidence interval
  • so if concluded 45% of consumers will buy with a +-5% margin it’s really 40-50%
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7
Q

How can a business improve sample accuracy?

A

-business wants lower confidence levels
-three things can be done to ;Lower:
•increasing sample size, more reliable
•lowering population size
•having extreme results, 96 or 5% is better than 46% or 54%

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8
Q

What are advantages of sampling?

A
  • can gauge market size without asking everybody
  • Lower costs than asking everyone
  • quicker than asking everyone
  • more practical than asking everyone
  • can increase reliability by using larger sample
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9
Q

What are disadvantages of sampling?

A
  • have to make sure it represents entire population
  • business needs accurate profile of its customers in order to create a sample that represents them, not often the case
  • might be difficult to find the required number of people who fit particular sample specification
  • may delay decisions made by business while process is being conducted
  • people may be biased towards or against business
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