Lesson 1d.03
1d.03 Determine factors that may lead to bias, including issues of sensitivity of the... Quiz: Pearson Edexcel Statistics, Unit 1
20 questions
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Lesson 1d.03, Determine factors that may lead to bias, including issues of sensitivity of the...: 20 multiple choice questions for the Pearson Edexcel GCSE Statistics (1ST0), Unit 1: The collection of data, written with Revision Ninja.
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The 20 questions
-
What is the main purpose of using the random response technique in surveys?
- Improving data cleaning
- Increasing sample size
- Eliminating outliers
- Reducing dishonest answers
-
Which factor is most likely to cause untruthful responses when asking about illegal behaviour?
- Sample size
- Interviewer gender
- Data cleaning
- Question sensitivity
-
What does minimising data distortion primarily involve during planning?
- Controlling collection conditions
- Deleting missing values
- Increasing question length
- Using smaller samples
-
Which error arises when different interviewers ask survey questions in different ways?
- Response error
- Processing error
- Sampling error
- Interviewer bias
-
Why must environmental conditions be kept consistent during experimental data collection?
- To prevent distortion
- To reduce sample size
- To create outliers
- To increase bias
-
Which technique uses a random device, such as a coin, so the interviewer cannot tell a respondent's true answer?
- Random response technique
- Stratified sampling
- Systematic sampling
- Judgement sampling method
-
Why might respondents give inaccurate figures when asked about their personal income?
- Content is sensitive
- Questions are closed
- Sample size is small
- Data is secondary
-
Which issue is a direct source of bias during data collection interviews?
- Random sampling
- Pilot testing
- Leading questions
- Data cleaning
-
What is the primary purpose of the random response technique?
- Increasing sample size
- Removing all outliers
- Protecting privacy
- Speeding up analysis
-
An interviewer's tone changes between interviews. What type of bias is this?
- Census error
- Sampling frame bias
- Interviewer bias
- Quota bias
-
What bias issue arises from asking sensitive questions with low privacy?
- Sampling error
- Distorted responses
- Transcription fault
- Data cleansing
-
Which factor most threatens validity when asking personal questions in front of family?
- Topic sensitivity
- Measurement scale
- Sample size
- Data cleaning
-
Which method best minimises bias when collecting data on personal salaries?
- Public phone surveys
- Anonymous questionnaires
- Face-to-face interviews
- Named response sheets
-
Allowing different participants to complete a test in completely different environments causes what?
- Data cleaning
- Stratified sampling
- Randomisation
- Poor control
-
Which feature of data collection best reassures respondents worried about privacy?
- Open questioning
- Named tracking
- Public publishing
- Guaranteed anonymity
-
In a survey on a sensitive behaviour, a coin decides the answer: heads means answer truthfully and tails means answer 'no'. 30% answer yes. What is the estimated true proportion?
- 60%
- 45%
- 30%
- 15%
-
Which design choice best reduces bias when surveying students about cheating?
- Open questioning
- Randomised response
- Named interviews
- Leading questions
-
Why must extraneous variables like time of day be controlled across experimental groups?
- To prevent bias
- To increase cost
- To shorten surveys
- To reduce data
-
Which error often arises from sensitive questionnaire content?
- Arithmetic miscalculation
- Transcription delay
- Random number generation
- Socially desirable answers
-
Measuring two test groups at different room temperatures introduces what type of issue?
- Random error
- Closed question
- Extraneous variable
- Sample quota
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