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3 cards from this section. Quick, good the night before a test.
Why is it inappropriate to use a binomial distribution if trials are dependent?
Think of examples where one event affects another.
Give an example of when the probability of success varies.
Consider situations where outcomes aren't equally likely.
Is it appropriate to use binomial distribution if the probability of success varies across trials?
Consider consistency in trials.
Which distribution is more appropriate for sampling without replacement?
Think about sampling methods.
You conduct a survey where participants can choose between five different options. Discuss the appropriate statistical model for analyzing the data and justify your choice.
Focus on the number of categories.
A box contains 20 red and 5 blue balls. If you draw 5 without replacement, explain why using binomial distribution is incorrect.
Explore how drawing affects the remaining composition.
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