Session 2 Sampling Concepts

Question:
Which of the following best defines a sample?

• A list of all elements in the population
  

• 
  A segment of the population selected for analysis
  

• 
  Every member of the population
  

• 
  A summary statistic such as a mean or proportion

A researcher wants to study customer satisfaction for an online bookstore. She uses the company’s customer email list from the past year to draw her sample.

Question:
What is the sampling frame in this case?

• All potential online book buyers in the country
  

• 
  The list of satisfied customers
  

• 
  The email list of customers from the past year
  

• All visitors to the company’s website

Which of the following best describes sampling error?

• Errors caused by misinterpretation of survey questions
  
  
  

• Errors caused by entering wrong data during analysis

• Errors resulting from excluding parts of the population

• 
  The difference between the sample result and the true population value due to chance
  

In a survey about dietary habits, several participants misreport their calorie intake either due to memory lapses or social desirability bias.

Question:
This is an example of which type of error?

• Sampling error
• Data processing error

• Sampling frame error

• Non-sampling error

Scenario:
A bank wants to study credit card usage among all its customers. However, it uses only data from its mobile app users.

Question:
What kind of error is likely introduced by using this sampling frame?

• 
  Sampling frame error

• Sampling error
  

• 
  Non-response error
  

• 
  Systematic sampling bias

Which of the following actions is most effective in reducing sampling error?

• Training interviewers to ask questions correctly
  

• 
  Increasing the sample size
  

• 
  Pre-testing the questionnaire
  

• 
  Cleaning the dataset after collection