Causality Data — Learn free

Self-check

Questions 1–10 of 10

1. What does causality data help establish?
Question 1A. The storage cost of a datasetB. A cause-and-effect relationship between variables or eventsC. The alphabetical order of recordsD. The size of a database tableE. Which users can log in
2. Which statement about correlation and causality is stressed in causality data?
Question 2A. Correlation always proves causationB. Correlation does not imply causationC. Correlation is the same as a counterfactualD. Correlation only exists in experimentsE. Correlation cannot be measured
3. In the ice cream and sunscreen example, what is the likely common factor behind both increases?
Question 3A. Cheaper ice creamB. Hot weatherC. A marketing campaignD. School holidaysE. Sunscreen shortages
4. Which method is best suited to establishing causality?
Question 4A. Observational studies aloneB. Controlled experiments that manipulate one variable while keeping others constantC. Collecting more correlationsD. Asking an expert's opinionE. Sorting the data by date
5. Why is causality harder to establish in observational studies?
Question 5A. The data is always too oldB. Potential confounding factors cannot be controlledC. Observational data cannot be storedD. They use too many participantsE. They require expensive software
6. What is a counterfactual analysis?
Question 6A. Counting the number of facts in a datasetB. Comparing what happened with what might have happened without a particular interventionC. Checking data for spelling errorsD. Measuring how fast a query runsE. Removing outliers from a sample
7. What does "temporal order" require for causation?
Question 7A. The effect must come before the causeB. The cause must precede the effect in timeC. Both must happen at exactly the same instantD. Neither has to happenE. The data must be sorted alphabetically
8. Which of these is a statistical technique for inferring causal relationships?
Question 8A. Propensity score matchingB. Alphabetical sortingC. Data compressionD. Backup rotationE. Colour coding
9. In the studying-and-exam-scores example of causality data, what alternative explanation is offered for the correlation?
Question 9A. Exams are getting easierB. Naturally diligent students both study more and perform betterC. Teachers grade studious students more kindlyD. Studying has no effect at allE. Exams are scheduled at random
10. In which fields is causality data particularly valuable?
Question 10A. Healthcare, economics, social sciences and marketingB. Only astronomyC. Only sportsD. Only computer gamingE. Only agriculture