Lesson 2h.03
2h.03 Know that sample size has an impact on reliability and replication Quiz: Pearson Edexcel Statistics, Unit 2
20 questions
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Lesson 2h.03, Know that sample size has an impact on reliability and replication: 20 multiple choice questions for the Pearson Edexcel GCSE Statistics (1ST0), Unit 2: Processing, representing and analysing data, written with Revision Ninja.
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The 20 questions
-
Which sample size yields the most reliable statistical conclusions?
- Single values
- Pilot samples
- Larger samples
- Smaller samples
-
What is replication in statistical investigations?
- Data cleaning
- Averaging data
- Random sampling
- Repeating a study
-
Why do conclusions from small samples vary more?
- Chance variation
- Fixed quotas
- Data entry
- High bias
-
Why does collecting more data improve trustworthiness?
- Errors cancel out
- Speeds analysis
- Removes all bias
- Lowers cost
-
What is true of results from larger sample sizes?
- Always perfectly accurate
- Cheaper to collect
- More easily replicated
- Completely bias free
-
What is the main effect of increasing sample size on a proportion estimate?
- More extreme results
- Larger standard error
- Higher data bias
- Closer to true value
-
What is a common sign of an unreliable statistical conclusion?
- Clear charts
- High response rate
- Very small sample
- Systematic method
-
What must you comment on when a conclusion uses a small sample?
- Population mean
- High accuracy
- Reduced reliability
- Zero error
-
Which survey sample size is more likely to give a similar result if repeated?
- 2000 people
- 0 people
- 2 people
- 20 people
-
Which coin toss test gives a more reliable probability estimate?
- 10 tosses
- 5 tosses
- 1 toss
- 1000 tosses
-
Which school test result provides a more reliable pass rate estimate?
- 300 students
- 5 students
- 15 students
- 1 student
-
What action best ensures more reliable conclusions about a population?
- Smaller pilot group
- Single interview
- Biased selection
- Larger random sample
-
What change most improves survey reliability when estimating a population mean?
- Smaller sample size
- Larger sample size
- Fewer interviewers
- Shorter survey time
-
Between samples of size 10 and 1000, which sample mean is less variable?
- Both equal
- Neither
- 10-sample mean
- 1000-sample mean
-
What does successfully replicating a study with a much larger sample add?
- More bias
- Lower reliability
- Greater confidence
- Zero variance
-
Why does a larger sample reduce the impact of one unusual value?
- Range becomes zero
- Value is deleted
- Averaged with more
- Median is ignored
-
Why is a survey with 4000 respondents more trusted than one with 40?
- Faster collection
- Zero error
- No missing data
- Higher precision
-
What do consistent results from independent repeated samples suggest?
- High bias
- Pure luck
- Not chance
- Data error
-
Which study estimate of a difference is generally more reliable?
- Single trial
- Larger study
- Pilot study
- Smaller study
-
Can a very large sample size correct a biased sample selection?
- No
- Always
- Yes
- Sometimes
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