Statistics Ch 4 Practice Test

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What is a probability distribution?

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A probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.

Tags

CCSS.HSS.MD.A.4

CCSS.HSS.MD.A.3

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How do you determine P(x = a) in a probability distribution?

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To determine P(x = a), you look at the value of the probability associated with the specific outcome 'a' in the probability distribution.

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CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

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What are odds in favor?

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Odds in favor are a ratio that compares the number of successful outcomes to the number of unsuccessful outcomes.

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How do you calculate the probability of not picking the correct number in multiple tries?

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The probability of not picking the correct number until the fifth try can be calculated using the formula: P(not correct) = (1 - P(correct))^(number of tries - 1) * P(correct).

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What is the binomial probability formula?

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The binomial probability formula is P(X = k) = (n choose k) * p^k * (1-p)^(n-k), where n is the number of trials, k is the number of successes, and p is the probability of success.

Tags

CCSS.HSS.MD.A.4

CCSS.HSS.MD.A.3

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What does it mean if a random variable has a standard deviation?

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The standard deviation of a random variable measures the amount of variation or dispersion of a set of values.

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How do you find the expected value of a random variable?

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The expected value is calculated by multiplying each possible outcome by its probability and summing all these products.

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CCSS.HSS.MD.A.2

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What is the significance of rounding in statistics?

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Rounding in statistics is important for simplifying results and making them easier to interpret, but it should be done carefully to avoid significant errors.

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What is the difference between probability and odds?

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Probability is the measure of the likelihood of an event occurring, while odds represent the ratio of the probability of the event occurring to the probability of it not occurring.

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What is a random variable?

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A random variable is a variable whose possible values are numerical outcomes of a random phenomenon.