Identifying Biasit gets hard to determine

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SUMMARY

This discussion focuses on identifying different types of bias in sampling scenarios. The first scenario illustrates sampling bias due to the arbitrary selection based on the last digit of phone numbers, which may not represent the entire population. The second scenario demonstrates non-response bias, as it relies on feedback from customers who chose to return survey cards, excluding those who did not respond. The third scenario reveals household bias, as it only polls members of a business association, neglecting non-members and potentially skewing the results.

PREREQUISITES
  • Understanding of sampling methods in statistics
  • Knowledge of bias types: sampling bias, non-response bias, household bias
  • Familiarity with survey design and response collection
  • Basic statistical analysis concepts
NEXT STEPS
  • Research "Sampling Techniques in Statistics" to understand various sampling methods
  • Learn about "Types of Bias in Surveys" for a comprehensive overview of biases
  • Explore "Designing Effective Surveys" to improve response rates and data quality
  • Study "Statistical Analysis of Survey Data" to analyze and interpret survey results accurately
USEFUL FOR

Statisticians, market researchers, survey designers, and anyone involved in data collection and analysis will benefit from this discussion.

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[Question]
Identify what, if any, bias is found in each of the following sampling
scenarios.
Explain your answer for each one.

a) Selecting some residents of a building to participate in a survey
of recycling options based on the last digit of their phone number

b)Deciding whether to create a new restaurant menu based on the
responses of customers who returned a survey card

c) Polling members of a business association to gauge public reaction
to a proposed new business tax


[Difficulty]
There's a blur between sampling bias, response bias and household
bias...I don't know which is applicable, but was wondering if I could
get a second opinion for my attempt

[My attempt]
Identify what, if any, bias is found in each of the following sampling
scenarios.
Explain your answer for each one.

a) Selecting some residents of a building to participate in a survey
of recycling options based on the last digit of their phone
number-This is an example of sampling bias as the last digit of the
phone number may not be a good sampling criterion as there may only be
five residents who have that digit, and there may be 200 different
residents

b) Deciding whether to create a new restaurant menu based on the
responses of customers who returned a survey card-This is an example
non-response bias, as the statement implies that there were people
that did not return a survey card, as is usually the case with surveys
that are taken home


c) Polling members of a business association to gauge public reaction
to a proposed new business tax-This is household bias as only polling
members of a business association will exclude those who are not
members of the association or do not own a business
 
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I need help please...its really semantics but I don't want to get this question wrong..
 

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