1) When referring to the normal probability distribution, there is not just one; there is a “family” of distributions.
TrueNeed Help Writing an Essay?Tell us about your assignment and we will find the best writer for your essay. Write My Essay For Meor False |
|
2)The standard normal probability distribution is unique because it has:
Choose one:
Any mean and a standard deviation of 1 |
|
-A mean of 0 and any standard deviation | |
-A mean of 0 and a standard deviation of 1 | |
-A mean of 1 and any standard deviation |
3)Tables of normal distribution probabilities are found in many statistics books. These probabilities are calculated from a normal distribution with. Choose one:
a mean of 100 and a standard deviation of 15 | |
a mean of 1 and a standard deviation of 1 | |
a mean of 0 and a standard deviation of 1 | |
a mean of 0 and a standard deviation of 15 |
4)What is the percentage of the total area under the normal curve within plus and minus two standard deviations of the mean? Choose one:
34.13% | |
68.26% | |
99.74% | |
95.44% |
5)The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the probability that a flight is between 125 and 140 minutes? Choose one:
1.00 | |
0.333 minutes | |
0.5 | |
10 minutes |
6)If an average of 12 customers are served per hour, then one customer arrives every. Choose one.
5 minutes | |
10 minutes | |
60 minutes | |
12 minutes |
7)In a uniform probability distribution, P(x) is constant between the distribution’s minimum and maximum values.
True
or False |
|
8) The total area of a normal probability distribution is. Choose one:
-approximated by the binomial distribution. | |
-1.00. | |
-dependent on a value of ‘z’. | |
-between -3.0 and 3.0. |
9)The shape of any uniform probability distribution is. Choose one:
-Positively skewed | |
-Rectangular | |
-Negatively skewed | |
-Bell shaped |
10)The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the mean? Choose one:
-150 minutes | |
-120 minutes | |
-270 minutes | |
-135 minutes |
11)For the exponential distribution, the mean and standard deviation are equal.
True
or |
|
False |
12)Some normal probability distributions have equal arithmetic means, but their standard deviations may be different.
True
or |
False |
13)A random variable from an experiment where outcomes are normally distributed. Choose one:
-can have a mean of 0 and a standard deviation of 1. | |
-can have only a few discrete values. | |
-can have no values. | |
-can have any value between – ? and + ?. |
14)If an average of 60 customers are served per hour, then one customer arrives every. Choose one:
-1 minute | |
-12 minutes | |
-60 minutes | |
-10 minutes |
15)What is a normal distribution with a mean of 0 and a standard deviation of 1 called? Choose one:
-Binomial probability distribution | |
-Standard normal distribution | |
-Frequency distribution | |
-Z-score |
16)A binomial distribution has 50 trials (n = 50) with a probability of success of 0.50 (?=0.50). To use the normal distribution to approximate the binomial, what are the mean and standard deviation? Choose one?
µ =25 and ? = 4.33 | |
µ =25 and ? = 12.5 | |
µ = 25 and ? = 3.5355 | |
µ =50 and ? = 100 |
17)In an illustration of a normal probability distribution, a shaded area represents. Choose one:
-a probability | |
-a combination | |
-a standard deviation | |
-a permutation |
18)Two normal distributions are compared. One has a mean of 10 and a standard deviation of 10. The second normal distribution has a mean of 10 and a standard deviation of 2. Which of the following is true?
-The distributions are from two different families of distributions | |
-The dispersions of the distributions are different | |
-The dispersions of the distributions are the same | |
-The locations of the distributions are different |
19)The area under the normal curve within plus and minus one standard deviation of the mean is about 68.26%.
True
or |
False |
20)The standard deviation of any uniform probability distribution is. Choose one of the following:
– (b – a)/2 | |
– | ![]() |
– n(1 – ?) |
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