Exam 7: Continuous Probability Distributions

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Given that Z is a standard normal random variable, the area to the left of a value z is expressed as

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The variance of a χ\chi 2 distribution is twice the value of its mean.

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The Student t distribution:

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P(Z > 1.9) = ____________________ P(Z < 1.9).

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Which of the following statements is false?

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Probability for continuous random variables is found by finding the ____________________ under a curve.

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The probability density function of a uniform random variable on the interval [0, 5] must be ____________________ for 0 \le x \le 5.

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What number corresponds to F0.95,4,8?

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We distinguish between discrete and continuous random variables by noting whether the number of possible values is countable or uncountable.

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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. -What proportion of customers have monthly balances more than $1,125?

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A normal distribution is symmetric; therefore the probability of being below the mean is 0.50 and the probability of being above the mean is 0.50.

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In its standardized form, the normal distribution:

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P(1 < Z < 2) = P(Z < 2) - ____________________.

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Given that Z is a standard normal random variable, a negative value of Z indicates that the standard deviation of Z is negative.

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The variance of a Student t random variable with v degrees of freedom (v > 2) is always greater than 1.

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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. -What proportion of customers have monthly balances between $950 and $1,075?

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To be a legitimate probability density function, all possible values of f(x) must be non-negative.

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The mean and variance of a X2 distribution approach ____________________ as the degrees of freedom increase.

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What number corresponds to F.025,3,5?

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

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