1. The exponential distribution describes the number of arrivals per unit of time.
True
False
2. The normal distribution is a good approximation to the binomial if both π ≥ 10 and n ≥ 10.
True
False
3. For a continuous uniform distribution U(200,400), the parameters are μ = 300 and σ = 100.
True
False
4. The area under a normal curve is 1 only if the distribution is standardized N(0,1).
True
False
5. A continuous uniform distribution U(100,200) will have the same standard deviation as a continuous uniform distribution U(200,300).
True
False
6. Experience suggests that 4 percent of all college students have had a tonsillectomy. In a sample of 300 college students, we need to find the probability that at least 10 have had a tonsillectomy. It is acceptable to use the normal distribution to estimate this probability.
True
False
7. There is a simple formula for normal areas, but we prefer a table for greater accuracy.
True
False
8. The height and width of a continuous uniform distribution's PDF are the same.
True
False
9. The area under an exponential curve can exceed 1 because the distribution is right-skewed.
True
False
10. Any normal distribution has a mean of 0 and a standard deviation of 1.
True
False
11. A continuous uniform distribution is always symmetric.
True
False
12. If arrivals follow a Poisson distribution, waiting times follow the exponential distribution.
True
False