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True/False
1. A uniform continuous distribution is also referred to as a rectangular distribution.
Ans: True
Response: See section 6.1, The Uniform Distribution
Difficulty: Easy
2. The height of the rectangle depicting a uniform distribution is the probability of each outcome
and it same for all of the possible outcomes
Ans: False
Response: See section 6.1, The Uniform Distribution
Difficulty: Medium
3. The area of the rectangle depicting a uniform distributionis always equal to one.
Ans: True
Response: See section 6.1, The Uniform Distribution
Difficulty: Medium
4. Many human characteristics such as height and weight and many measurements such as
variables such as household insurance and cost per square foot of rental space are normally
distributed.
Ans: True
Response: See section 6.2, Normal Distribution
Difficulty: Medium
5. Normal distribution is a skewed distribution with its tails extending to infinity on either side of
the mean.

Ans: False
Response: See section 6.2, Normal Distribution
Difficulty: Medium
6. Since a normal distribution curve extends from minus infinity to plus infinity, the area under
the curve is infinity.
Ans: False
Response: See section 6.2, Normal Distribution
Difficulty: Medium
7. A z-score is the number of standard deviations that a value of a random variable is above or
below the mean.
Ans: True
Response: See section 6.2, Normal Distribution
Difficulty: Medium
8. A normal distribution with a mean of zero and a standard deviation of 1 is called a null
distribution.
Ans: False
Response: See section 6.2, Normal Distribution
Difficulty: Medium
9. A standard normal distribution has a mean of zero and a standard deviation of one.
Ans: True
Response: See section 6.2, Normal Distribution
Difficulty: Easy
10. The standard normal distribution is also called a finite distribution because its mean is zero
and standard deviation one, always.
Ans: False
Response: See section 6.2, Normal Distribution

Difficulty: Medium
11. In a standard normal distribution, if the area under curve to the right of a z-value is 0.10, then
the area to the left of the same z-value is -0.10.
Ans: False
Response: See section 6.2, Normal Distribution
Difficulty: Medium
12. Binomial distributions in which the sample sizes are large may be approximated by a Poisson
distribution.
Ans: False
Response: See section 6.3, Using the Normal Curve to Approximate Binomial Distribution
Problems
Difficulty: Medium
13. A correction for continuity must be made when approximating the binomial distribution
problems using a normal distribution.
Ans: True
Response: See section 6.3, Using the Normal Curve to Approximate Binomial Distribution
Problems
Difficulty: Medium
14. If arrivals at a bank followed a Poisson distribution, then the time between arrivals would
follow a binomial distribution.
Ans: False

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