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4 cards from this section. Quick, good the night before a test.
Define what is meant by a fixed number of trials.
Think about how many times you would perform an experiment.
What are the two outcomes in a binomial trial?
Consider what we generally classify as successful results.
What is the requirement for the number of trials in a binomial distribution?
Think about how trials should be defined in advance to use the distribution.
True or False: In a binomial distribution, the probability of success can change between trials.
Consider whether changing odds affects statistical calculations.
A factory produces light bulbs, where each bulb has a 90% success rate of passing quality control. If you test 15 bulbs, discuss whether or not this scenario can be modeled as a binomial distribution and support your answer.
Check if all four conditions are satisfied.
A student rolls a fair die three times, counting the number of times a 6 appears. Evaluate if this can be classified under binomial distribution criteria. What if, however, the die is not fair?
Rethink the effects of probability consistency on classifications.
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