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Exam (elaborations)

BUAL 2650 EXAM 1 REVIEW – GUPTA QUESTIONS

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BUAL 2650 EXAM 1 REVIEW – GUPTA QUESTIONS

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BUAL 2650
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BUAL 2650
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BUAL 2650

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Uploaded on
November 17, 2025
Number of pages
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Written in
2025/2026
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BUAL 2650 EXAM 1 REVIEW – GUPTA QUESTIONS


1. It is appropriate to use the uniform distribution to describe a
continuous random variable x when: relative frequencies of all possible values of x are about
the same.
2. The normal approximation of the binomial distribution is appropriate when-
: np e5 and n(1 − p) e5 .

3. The fill weight of a certain brand of adult cereal is normally distributed
with a mean of 910 grams and a standard deviation of 5 grams. We calculated
the value of z for a specific box of this brand of cereal, and the z value was
negative. This negative z value indicates that: the fill weight is less than 910 grams.
4. Which of the following statements is not a property of the normal probability
distribution?: 95.44 percent of all possible observed values of the random variable x are within plus or minus
three standard deviations of the population mean.
5. If the random variable x is normally distributed, percent of all
possible observed values of x will be within three standard deviations of the
mean.: 99.73
6. The z value tells us the number of that a value of x is
from the mean.: standard deviations
7. A continuous probability distribution having a rectangular shape, where the
probability is evenly distributed over an interval of numbers is a(n)
8. The specific shape of each normal distribution is determined by its
and .: mean, standard deviation.

9. The area under the curve of a valid continuous probability distribution must
.: equal 1

10. values of the standard deviation result in a normal curve that is wider

1/9

, and flatter.: Larger
11. The mean of a standard normal distribution is always equal to
12. For nonnormal populations, as the sample size (n) , the
distribution of sample means approaches a(n) distribution.: increases, normal
13. says that if the sample size is sufficiently large, then the
sample means are approximately normally distributed.: The Central Limit Theorem
14. The exact spread of the t distribution depends on the .:
number of degrees of freedom




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