Statistics Ch 4 Practice Test

Front

What is a probability distribution?

Back

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

Front

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

Back

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

Front

What are odds in favor?

Back

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

Front

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

Back

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).

Front

What is the binomial probability formula?

Back

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.

Front

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

Back

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

Front

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

Back

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

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What is the significance of rounding in statistics?

Back

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

Front

What is the difference between probability and odds?

Back

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.

Front

What is a random variable?

Back

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