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| 1 | |
The height of a continuous probability curve over a given point is |
| | A) | Equal to the mean. |
| | B) | Equal to the standard deviation. |
| | C) | Equal to zero. |
| | D) | Equal to Z. |
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| 2 | |
The mean and median are the same for a normal distribution. |
| | A) | True |
| | B) | False |
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| 3 | |
In a statistical study, the random variable X = 1 if the house is colonial, and X = 0 if the house is not colonial. Then it can be stated that the random variable is continuous. |
| | A) | True |
| | B) | False |
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| 4 | |
The actual weight of hamburger patties is an example of a continuous random variable. |
| | A) | True |
| | B) | False |
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| 5 | |
For a continuous distribution, P(X ≤ 100) = P(X < 100). |
| | A) | True |
| | B) | False |
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| 6 | |
A standard normal distribution has a mean of __________ and standard deviation of _______. |
| | A) | zero, zero |
| | B) | zero, one |
| | C) | one, one |
| | D) | one, zero |
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| 7 | |
A continuity correction is needed to approximate a Poisson distribution using the Normal distribution. |
| | A) | True |
| | B) | False |
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| 8 | |
The area under the normal curve between z = 0 and z = 1 is _________ the area under the normal curve between z = 1 and z = 2. |
| | A) | less than |
| | B) | greater than |
| | C) | equal to |
| | D) | A, B, or C above, depending on the value of the mean |
| | E) | A, B, or C above, depending on the value of the standard deviation |
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| 9 | |
If a random variable x has a uniform distribution with a mean of 10, and the lowest value of x is 5, what is the largest value of x that can exist? |
| | A) | 5 |
| | B) | 15 |
| | C) | 10 |
| | D) | 20 |
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| 10 | |
The price-to-earnings ratio for firms in a given industry is distributed according to a normal distribution. In this industry, a firm with a Z value equal to 1 |
| | A) | has an above average price-to-earnings ratio. |
| | B) | has a below average price-to-earnings ratio. |
| | C) | has an average price-to-earnings ratio. |
| | D) | may have an above average or below average price-to-earnings ratio. |
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| 11 | |
A student's grade on an examination (with a normal distribution) was transformed to a z value that is negative. Therefore, we know that he scored |
| | A) | higher than 16 percent of the class. |
| | B) | higher than 45 percent of the class. |
| | C) | above the first quartile. |
| | D) | below the mean. |
| | E) | above the mean but below the median. |
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| 12 | |
If a normal probability plot has a straight-line appearance, then it is assumed the data do not come from a normal distribution. |
| | A) | True |
| | B) | False |
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| 13 | |
The number of standard deviations that a value x is from the mean is |
| | A) | normal. |
| | B) | exponential. |
| | C) | uniform. |
| | D) | its z-score. |
| | E) | 1. |
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| 14 | |
A uniform distribution has the following shape: |
| | A) | Bell-shaped. |
| | B) | Rectangular. |
| | C) | Normal. |
| | D) | Bi-modal. |
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| 15 | |
The normal probability plot is a graphic that is used to check whether sample data come from a normal distribution. |
| | A) | True |
| | B) | False |
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