Lesson details

Key learning points

  1. In this lesson, we will discuss the difference between a sample and a census, and how to avoid bias in sampling.

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4 Questions

Q1.
Which of these is the correct definition of a hypothesis?
A conclusion to an experiment based on data analysis
A question that a researcher wants to answer
Correct answer: An unproven statement which can be tested
The decision to use primary or secondary data collection
Q2.
Which of these is a valid hypothesis?
Do people prefer cats or dogs?
Dogs are better than cats
Correct answer: People prefer cats to dogs
People prefer cats to dogs, don't they?
Q3.
Which of these is NOT an example of a primary data source?
A phone interview
A scientific experiment
An online questionnaire
Correct answer: Official government statistics
Q4.
Which of these is a potential disadvantage of collecting primary data?
Correct answer: It may be expensive
It may be out of date
It may not be specific to your needs
You don't have control over it

3 Questions

Q1.
In order to test what Arsenal fans think about their manager, a student gives an online questionnaire to 100 Arsenal fans. The student is testing his hypothesis by taking a ….
Census
Population
Quantitative
Correct answer: Sample
Q2.
Which of the following is a potential disadvantage of a sample?
Correct answer: May be biased if the sample is unfair or too small
May be less biased than a census
More expensive than taking a census
More time-consuming than taking a census
Q3.
Mr Millar wants to test whether people prefer reading books to watching TV by asking 300 people outside Waterstones (a book shop chain) on a Friday morning. What is the most likely reason that this sample will be biased?
He asks people on a Friday, rather than another day or the week
He doesn't necessarily ask the same number of men and women
Correct answer: People who shop at Waterstones are more likely to prefer reading books
The sample size is too small

Lesson appears in

UnitMaths / Univariate data