Lesson S1
S1 Inferring population properties from samples Quiz: AQA Maths, Unit 6
20 questions
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Lesson S1, Inferring population properties from samples: 20 multiple choice questions for the AQA GCSE Maths (8300), Unit 6: Statistics, written with Revision Ninja.
Host it live on the board and students join with a game code on their own devices, or revise alone with Free Play. The answers are revealed in the game.
The 20 questions
-
What is a population in statistics?
- The whole group being studied
- The average of the data
- A single data value
- A subset chosen from the group
-
What is a sample?
- The median of the data collected from the population
- A chart that summarises the results of the survey
- A subset of the population chosen for study
- The entire population, measured in full for the study
-
Why is a sample often used instead of the whole population?
- It makes the population smaller
- It always gives exact results
- It removes all bias
- It is quicker and cheaper to collect
-
What is a key limitation of sampling?
- Samples cannot be used to predict anything
- Samples have no variation
- The sample may not represent the whole population
- Samples always give exact answers
-
Why is random selection important when taking a sample?
- It guarantees the sample mean equals the population mean
- Every member has an equal chance of being selected
- The researcher picks people they like
- Only the oldest members are chosen
-
Which change makes a sample more representative of its population?
- Making it larger and choosing it at random
- Using volunteers only
- Making all members the same
- Choosing it from one location only
-
A sample of 20 students from one class is used to estimate the average for a whole school. What is the main concern?
- The sample may not represent the whole school
- Schools cannot be sampled
- The sample is too large
- The average of 20 values is always zero
-
What is a sampling frame?
- A formula for calculating the size of the sample
- A chart showing the results from a sample of people
- The final answer to a question that the survey asked
- A list of the population from which a sample is drawn
-
A school has 800 students. A random sample of 80 includes 24 who say they walk to school. What is the best estimate for the whole school?
- 240
- 800
- 80
- 24
-
A sample of 50 light bulbs contains 3 defective bulbs. What is the best estimate for the number of defective bulbs in a batch of 2000?
- 120
- 60
- 300
- 3
-
In a survey of 200 people, 60 prefer brand A. What is the best estimate of the number preferring brand A in a population of 5000?
- 60
- 750
- 200
- 1500
-
A sample of 30 gives a mean of 14.2. What is the best estimate of the population mean?
- 14
- 14.2
- 0
- 30
-
Which sample is least reliable for estimating a population property?
- A large random sample from the whole population
- A stratified sample of pupils from each year group
- A random sample of 500 people from the population
- A small sample chosen from only one group
-
A survey of 1000 adults finds 40% support a plan. What is the best estimate for 60000 adults?
- 60000
- 4000
- 24000
- 40000
-
Why might the survey question 'Do you agree that our wonderful team should win?' give biased results?
- The wording leads people towards a particular answer
- The sample is too large for a survey of this kind
- The answers are numbers rather than words in the survey
- It uses too few words to explain the question clearly
-
What does a census collect data from?
- Every member of the population
- Volunteers only
- The first five people in a list
- A random sample of 10 people
-
(H) Why is a stratified sample used?
- So that each group is represented in proportion to the population
- So that the mean of the whole sample is always exactly zero
- So that only one group of the population is included in it
- So that the sample size is zero in every group of the survey
-
(H) A sample of 40 has a mean of 12.5. The population has 500 members. What is the estimated population total?
- 40
- 12.5
- 6250
- 500
-
(H) Compared with a small sample, what does a larger sample generally give?
- A more precise estimate with less variation
- An estimate that is always biased
- An estimate that is always exactly the population value
- A smaller mean
-
(H) A survey of 100 people finds 45% prefer option X. What is the best estimate of the number in a population of 2000 who prefer X?
- 450
- 900
- 45
- 1800
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