Exam 7: Continuous Probability Distributions

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Checking Accounts A bank has determined that the monthly balances of the checking accounts of its customers are normally distributed with an average balance of $1,200 and a standard deviation of $250. {Checking Accounts Narrative} What proportion of customers have monthly balances less than $1,000?

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A continuous probability distribution represents a random variable having an infinite number of outcomes which may assume any number of values within an interval.

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In practice, we frequently use a continuous distribution to approximate a discrete one when the number of values the variable can assume is countable but very large.

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You can use a continuous random variable to ____________________ a discrete random variable that takes on a countable, but very large, number of possible values.

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Suppose f(x)= 0.25. What range of possible values can X take on and still have the density function be legitimate?

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A random variable X is standardized by subtracting the mean and dividing by the variance.

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Which of the following is true about f(x)when X has a uniform distribution over the interval [ a , b ]?

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Battery Life A certain brand of batteries has a lifetime that has a normal distribution with a mean of 3,750 hours and a standard deviation of 300 hours. {Battery Life Narrative} What proportion of these batteries will last for more than 4,000 hours?

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Which of the following distributions is not skewed?

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IT Graduates Salary The recent average starting salary for new college graduates in IT systems is $47,500. Assume salaries are normally distributed with a standard deviation of $4,500. {IT Graduates Salary Narrative} What is the cutoff for the bottom 5% of the salaries?

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Electronics Test The time it takes a student to finish a electronics test has a uniform distribution between 50 and 70 minutes. {Electronics Test Narrative} What is the probability density function for this uniform distribution?

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Given that Z is a standard normal random variable, a negative value ( z )on its distribution would indicate:

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The shape of an F distribution is ____________________.

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What is the shape of the probability density function for a uniform random variable on the interval [ a ,  b ]?

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The Student t distribution with parameter v = 4 has a variance V ( t )equal to:

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____________________ the value of s in a normal distribution will make it wider.

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Subway Waiting Time At a subway station the waiting time for a subway is found to be uniformly distributed between 1 and 5 minutes. {Subway Waiting Time Narrative} What is the probability that the subway arrives in the first minute and a half?

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The mean and variance of a X 2 distribution approach ____________________ as the degrees of freedom increase.

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A larger standard deviation of a normal distribution indicates that the distribution becomes:

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The shape of a X 2 distribution is ____________________.

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