Problems with collected data (AQA GCSE Statistics): Flashcards
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Practise the cards
10 cards from this deck
What are outliers in a dataset?
What are outliers in a dataset?
Outliers are unusual or extreme values in data.
Why should you not remove outliers automatically?
Why should you not remove outliers automatically?
Some outliers may represent genuine extreme cases.
How do you handle missing data?
How do you handle missing data?
You can exclude, estimate, or collect additional data.
What is a key step in data cleaning?
What is a key step in data cleaning?
Identify and correct inaccurate or impossible values.
Why is unit consistency important?
Why is unit consistency important?
Inconsistent units make analysis confusing and inaccurate.
What impact does a small sample size have?
What impact does a small sample size have?
It limits the reliability of conclusions drawn from data.
What is a common issue with self-reported data?
What is a common issue with self-reported data?
It may be less accurate than professionally measured data.
What should you document in your analysis?
What should you document in your analysis?
Document data problems and cleaning steps taken.
What is the first step before data analysis?
What is the first step before data analysis?
Examine your data for outliers and inconsistencies.
How can measurement errors affect data?
How can measurement errors affect data?
They can create impossible or highly unlikely values.