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A normal distribution with a mean of 0 and a standard deviation of 1 is called


A) a probability density function.
B) uniform probability distribution.
C) a standard normal distribution.
D) exponential probability distribution.

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Given that z is a standard normal random variable, what is the probability that -2.08 Given that z is a standard normal random variable, what is the probability that -2.08   z   1.46? A)  0.9091 B)  0.4812 C)  0.4279 D)  0.0533 z Given that z is a standard normal random variable, what is the probability that -2.08   z   1.46? A)  0.9091 B)  0.4812 C)  0.4279 D)  0.0533 1.46?


A) 0.9091
B) 0.4812
C) 0.4279
D) 0.0533

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For the standard normal probability distribution, the area to the right of the mean is


A) 1.
B) 3.09.
C) 1.96.
D) 0.5.

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Which of the following is not a characteristic of the normal probability distribution?


A) The mean, median, and the mode are equal
B) The mean of the distribution can be negative, zero, or positive
C) The distribution is symmetrical
D) The standard deviation must be 1

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The z score for the standard normal distribution


A) is always equal to zero.
B) can never be negative.
C) can be either negative or positive.
D) is always equal to the mean.

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A continuous random variable may assume


A) all values in an interval or collection of intervals.
B) only integer values in an interval or collection of intervals.
C) only fractional values in an interval or collection of intervals.
D) all the positive integer values in an interval.

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The probability that a continuous random variable takes any specific value


A) is equal to zero.
B) is at least 0.5.
C) depends on the probability density function.
D) is very close to 1.0.

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The travel time for a college student traveling between her home and her college is uniformly distributed between 40 and 90 minutes.The probability that her trip will take longer than 80 minutes is


A) 1.00.
B) 0.40.
C) 0.20.
D) 0.80.

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z is a standard normal random variable.The P(-1.96 z is a standard normal random variable.The P(-1.96   z   1.4)  equals A)  0.9442. B)  0.0558. C)  0.8942. D)  0.1058. z z is a standard normal random variable.The P(-1.96   z   1.4)  equals A)  0.9442. B)  0.0558. C)  0.8942. D)  0.1058. 1.4) equals


A) 0.9442.
B) 0.0558.
C) 0.8942.
D) 0.1058.

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x is a normally distributed random variable with a mean of 7 and a standard deviation of 2.The probability that x is between 6.48 and 7.56 is


A) 0.9524.
B) 0.0476.
C) 0.7872.
D) 0.2128.

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For a continuous random variable x, the probability density function f(x) represents the


A) probability at a given value of x.
B) area under the curve at x.
C) area under the curve to the right of x.
D) height of the function at x.

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Whenever the probability is proportional to the length of the interval in which the random variable can assume a value, the random variable is _____ distributed.


A) uniformly
B) normally
C) Poisson
D) exponentially

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Consider a binomial probability experiment with n = 3 and p = 0.1.Then, the probability of x = 0 is


A) 0.
B) 0.0001.
C) 0.001.
D) 0.729.

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Which of the following probability distributions have the same value for mean, median, and mode​?


A) Uniform
B) Normal
C) ​Exponential
D) ​Poisson

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Given that z is a standard normal random variable, what is the probability that -2.51 Given that z is a standard normal random variable, what is the probability that -2.51   z   -1.53? A)  0.4950 B)  0.4370 C)  0.0570 D)  0.9310 z Given that z is a standard normal random variable, what is the probability that -2.51   z   -1.53? A)  0.4950 B)  0.4370 C)  0.0570 D)  0.9310 -1.53?


A) 0.4950
B) 0.4370
C) 0.0570
D) 0.9310

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Joe's Record World has two stores and sales at each store follow a normal distribution.For store 1, μ = $2,000 and σ = $200 per day; for store 2, μ = $1,900 and σ = $300 per day.Which store is more likely to have a day's sales in excess of $2200?


A) Store 1
B) Store 2
C) Store 1 and store 2 are equally likely
D) More information is needed

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Which of the following are continuous random variables?​ I. The weight of an elephant II) The time to answer a questionnaire III) The number of floors in a skyscraper IV) The square feet of countertop in a kitchen


A) ​I and II only
B) ​III and IV only
C) ​I, II and IV only​
D) ​I, II, II, and IV

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A normal probability distribution


A) is a continuous probability distribution.
B) is a discrete probability distribution.
C) can be either continuous or discrete.
D) must have a standard deviation of 1.

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The assembly time for a product is uniformly distributed between 2 to 10 minutes.The probability of assembling the product in less than 6 minutes is


A) 0.
B) 0.50.
C) 0.25.
D) 1.

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The assembly time for a product is uniformly distributed between 2 to 10 minutes.What is the value of probability density function in the interval between 2 and 10?


A) 0.25
B) 0.125
C) 8.00
D) 0.00

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