Problems with collected data (Edexcel GCSE Statistics): Flashcards
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Practise the cards
10 cards from this deck
How should one handle measurement errors during data cleaning?
How should one handle measurement errors during data cleaning?
Correct errors or remove impossible values carefully.
Why is it important not to immediately remove outliers?
Why is it important not to immediately remove outliers?
They might be genuine data points, not errors.
How can inconsistent measurement units affect data reliability?
How can inconsistent measurement units affect data reliability?
They create comparison issues; standardise units first.
What issues can arise from self-reported data?
What issues can arise from self-reported data?
Inaccuracies due to participants' estimation or mistakes.
What should be done if data has missing values?
What should be done if data has missing values?
Remove, estimate, or collect missing data as appropriate.
Why document data cleaning decisions?
Why document data cleaning decisions?
To ensure transparency and reproducibility of analysis.
What issues can equipment malfunctions cause in data?
What issues can equipment malfunctions cause in data?
Incorrect measurements and unreliable data.
If a height is recorded as 166m, what is the likely problem?
If a height is recorded as 166m, what is the likely problem?
It's probably 166cm or 1.66m, a recording error.
Why analyze data with and without outliers?
Why analyze data with and without outliers?
To see how outliers affect overall conclusions.
What effect does measurement inconsistency have?
What effect does measurement inconsistency have?
It reduces data reliability and comparability.