1. The following is the frequency distribution for the speeds of a sample of automobiles traveling on an interstate highway.
50.000
2. Data collected over several time periods are _____ data.
time series
3.The expression used to compute an interval estimate of μ may depend on any of the following factors EXCEPT _____.
whether there is sampling error
4.uppose annual salaries for sales associates from Hayley’s Heirlooms have a bell-shaped distribution with a mean of $32,500 and a standard deviation of $500.
The z-score for a sales associate from this store who earns $33,500 is _____.
2
5.The z value for a 97.8% confidence interval estimation is _____.
2.29
6.If the data distribution is symmetric, the skewness is _____.
0
7.Flight time from Cincinnati to Atlanta is an example of a _____ variable and _____ measurement.
continuous; ratio
8.The number of sick days taken (per month) by 200 factory workers is summarized below
| Number of Days | Frequency | |||
| 0 − 5 | 120 | |||
| 6 − 10 | 65 | |||
| 11 − 15 | 14 | |||
| 16 − 20 | 1 | |||
120%
9.Which of the following is NOT a measure of variability of a single variable?
covariance
10.t is known that the variance of a population equals 1,936. A random sample of 121 has been selected from the population. There is a .95 probability that the sample mean will provide a margin of error of _____.
7.84 or less
11.t is known that the variance of a population equals 1,936. A random sample of 121 has been selected from the population. There is a .95 probability that the sample mean will provide a margin of error of _____.
7.84 or less
12.Suppose annual salaries for sales associates from Hayley’s Heirlooms have a bell-shaped distribution with a mean of $31,500 and a standard deviation of $500.
The z-score for a sales associate from this store who earns $30,650 is _____.
-1.7
13.In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the _____.
Poisson distribution
14.Assume z is a standard normal random variable. Then P(1.45 ≤ z ≤ 2.31) equals _____.
0.0631
15.The correlation coefficient _____.
can be larger than 1
16.The test statistic is _____.
2.00
17.Which of the following is a required condition for a discrete probability function?
Σf(x) = 1
18.In hypothesis testing, the alternative hypothesis is _____.
the hypothesis concluded to be true if the null hypothesis is rejected
19.If A and B are mutually exclusive, then _____.
P(A ∩ B) = 0
20.There are 20 boys and 8 girls in a class. What type of graph can be used to display this information?
bar graph
21.The number of sick days taken (per month) by 200 factory workers is summarized below.
| Number of Days | Frequency | |||
| 0 − 5 | 120 | |||
| 6 − 10 | 65 | |||
| 11 − 15 | 14 | |||
| 16 − 20 | 1 | |||
199
22.When the results of experimentation or historical data are used to assign probability values, the method used to assign probabilities is referred to as the _____.
relative frequency method
23.The number of customers who enter a store during one day is an example of _____.
a discrete random variable
24.The sample variance _____.
could be smaller, equal to, or larger than the true value of the population variance
25.There is a lower limit but no upper limit for a random variable that follows the _____ probability distribution.
exponential
26.A sample of 2,500 people was asked how many cups of coffee they drink in the morning. You are given the following sample information.
| Cups of Coffee | Frequency | |
| 0 | 700 | |
| 1 | 900 | |
| 2 | 600 | |
| 3 | 300 | |
| 2,500 | ||
9798
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