Lesson P5
P5 understand that empirical unbiased samples tend towards theoretical probability... Quiz: Pearson Edexcel Maths, Unit 5
20 questions
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Lesson P5, understand that empirical unbiased samples tend towards theoretical probability...: 20 multiple choice questions for the Pearson Edexcel GCSE Maths (1MA1), Unit 5: Probability, written with Revision Ninja.
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The 20 questions
-
As sample size increases, relative frequency tends towards what value?
- Sample mean
- Zero
- One
- Theoretical probability
-
Why are larger sample sizes more reliable in probability experiments?
- Outcomes become certain
- Bias disappears completely
- Theoretical probability rises
- Random variation averages out
-
What defines an unbiased sample?
- Targeted demographic
- Fixed numerical quota
- Largest possible size
- Equal chance of selection
-
A fair die is rolled 600 times. What relative frequency for a six is most likely?
- Close to 1/6, about 0.17
- Greater than 1
- Exactly 0
- About 0.5
-
Which sample size gives a more reliable estimate of probability?
- 1000 trials
- 10 trials
- 1 trial
- 5 trials
-
A sample of 20 students has 8 who like music. What is the estimated proportion for the population, if the sample is unbiased?
- 0.5
- 0.4
- 0.8
- 0.2
-
How should you correct a biased survey of only gym members?
- Use random sampling
- Double the sample
- Ask more members
- Ignore outliers
-
Which value is closest to 1/6 written as a decimal to 3 decimal places?
- 0.6
- 0.167
- 0.061
- 1.67
-
What is the best way to test if a coin is fair?
- Increase sample size
- Measure coin mass
- Throw it once
- Check coin material
-
A probability is 0.25. After 40 trials the relative frequency is 0.31. What is the relative frequency most likely to be after 4000 trials?
- Above 0.5
- Closer to 0.25
- Exactly 0.31
- Exactly 0.25
-
As the number of trials increases, what happens to relative frequency variation?
- It increases
- It decreases
- It becomes zero
- It stays constant
-
Is a poll phoning only landlines considered an unbiased sample?
- Always accurate
- Yes
- No
- Completely random
-
What prevents relative frequency from converging on the theoretical probability?
- Bias in sample selection
- High number of trials
- Random variation
- Large sample size
-
A spinner has P(red) = 0.6. Which sample size gives a better estimate?
- 5 spins
- 10 spins
- 50 spins
- 500 spins
-
Does ten heads in ten coin tosses definitively prove the coin is biased?
- Statistically impossible
- No
- Always true
- Yes
-
A random sample of 200 students gives 25% who walk to school. What is the best estimate for the whole school population?
- 25%
- 100%
- 2%
- 50%
-
Which die trial is more likely to give a relative frequency close to 1/6?
- 5 rolls
- 600 rolls
- 10 rolls
- 1 roll
-
What is the effect of a single unusual result as sample size grows?
- Zero impact
- Less impact
- Total dominance
- More impact
-
Why is a survey of 2000 people generally more reliable than one of 50?
- Larger sample size
- Less calculation
- Faster collection
- Smaller sample size
-
What does the distribution of results from a large unbiased sample do?
- Becomes uniform
- Approximates theoretical distribution
- Becomes completely random
- Matches theoretical exactly
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