Statistics Flashcards: Evaluating Models With Data And Simulation

Study Evaluating Models With Data And Simulation in Statistics with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.

QUESTION

What is the main reason to run many simulation repetitions (for example, 10,00010{,}000) instead of few?

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ANSWER

More repetitions reduce random simulation error in the estimated probability. Law of large numbers ensures convergence to true probability.

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What this deck covers

This deck focuses on Evaluating Models With Data And Simulation, giving you a quick way to review the definitions, rules, and examples that matter most for Statistics.

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Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.

Practice questions

1 of 37Practice questions for this set
A survey company claims that P(supports the proposal)=0.40P(\text{supports the proposal})=0.40 for the population. They survey 80 people and find 28 support the proposal. You simulate 100 samples of 80 people each using P=0.40P=0.40. In the simulations, 41 out of 100 samples had 28 or fewer supporters ("as extreme or more extreme" means 28\le 28). Which conclusion is most reasonable?
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