1. A researcher has collected the following sample data.   5 12 7 9 5 6 7 5 13 4 The 25th percentile from manual work is 5 6 7 8 None of the above 2. A researcher has collected the following sample data.   5 12 7 9 5 6 7 5 13 4 The 90th percentile from manual work is 8 8.5 10 12 12.5 3. A researcher has collected the following sample data.   5 12 7 9 5 6 7 5 13 4 The 10th percentile from Excel Functional work is 4 4.5 4.9 5.5 None of the above 4. A researcher has collected the following sample data.   5 12 7 9 5 6 7 5 13 4 The 75th percentile from the Excel Functional work is 6 7 8 8.5 9 5. The correlation coefficient equals to 0 indicates Two variables are perfectly positively linearly related, i.e. one variable goes up, the other variable also goes up, linearly Two variables are perfectly negatively linearly related, i.e. one variable goes up, the other variable also goes down, linearly Randomly or not linearly related None of the above 6. Suppose annual salaries for sales associates from a particular store have a mean of $20,000 and a standard deviation of $2,000. Use Chebyshev's theorem to calculate the percentage of sales associates with salaries between $18,000 and $22,000. At least 89% About 68% At least 75% About 95% None of the above 7. Suppose annual salaries for sales associates from a particular store follows a bell-shaped distribution with a mean of $20,000 and a standard deviation of $2,000. Use Empirical rule to calculate the percentage of sales associates with salaries between $16,000 and $24,000. At least 89% About 68% At least 75% About 95% None of the above 8. The following represents the probability distribution for the daily demand of microcomputers at a local store.   Demand Probability 1 0.1 2 0.2 3 0.3 4 0.2 5 0.2                The expected daily demand is 1.8 2.8 3.2 4.0 9. The following represents the probability distribution for the daily demand of microcomputers at a local store.   Demand Probability 1 0.1 2 0.2 3 0.3 4 0.2 5 0.2              The standard deviation is 1.34 1.56 1.67 1.25 10. The mean of a normal probability distribution is always equal to zero can be any value as long as it is positive can be any value is always greater than zero 11. Let Z be the standard normal random variable. What is P(Z>1.08)? 0.0087 0.0708 0.0838 0.1075 None of the above 12. Let Z be the standard normal random variable. Find z so that the area to the left of z is 0.0250. -1.96 -1.81 -1.28 1.28 None of the above 13. Let Z be the standard normal random variable. Find z>0 so that the area between -z and +z is 0.98. 1.28 1.645 1.96 2.33 2.575 14. Assume the average amount of precipitation in a town of Texas, during the month of April is 4.0 inches (the World Almanac, 2000). Assume that a normal distribution applies and that the standard deviation is 0.5 inches. What percenta ...

1. 1. A researcher has collected the following sample data.
5
12
7
9
5
6
7
5
13
4
The 25th percentile from manual work is
5
6
7
8
None of the above
2. A researcher has collected the following sample data.

2. 5
12
7
9
5
6
7
5
13
4
The 90th percentile from manual work is
8
8.5
10
12
12.5
3. A researcher has collected the following sample data.
5
12

3. 7
9
5
6
7
5
13
4
The 10th percentile from Excel Functional work is
4
4.5
4.9
5.5
None of the above
4. A researcher has collected the following sample data.
5
12
7
9
5

4. 6
7
5
13
4
The 75th percentile from the Excel Functional work is
6
7
8
8.5
9
5. The correlation coefficient equals to 0 indicates
Two variables are perfectly positively linearly related, i.e. one
variable goes up, the other variable also goes up, linearly
Two variables are perfectly negatively linearly related, i.e. one
variable goes up, the other variable also goes down, linearly
Randomly or not linearly related

5. None of the above
6. Suppose annual salaries for sales associates from a particular
store have a mean of $20,000 and a standard deviation of
$2,000. Use Chebyshev's theorem to calculate the percentage of
sales associates with salaries between $18,000 and $22,000.
At least 89%
About 68%
At least 75%
About 95%
None of the above
7. Suppose annual salaries for sales associates from a particular
store follows a bell-shaped distribution with a mean of $20,000
and a standard deviation of $2,000. Use Empirical rule to
calculate the percentage of sales associates with salaries
between $16,000 and $24,000.
At least 89%
About 68%
At least 75%

6. About 95%
None of the above
8. The following represents the probability distribution for the
daily demand of microcomputers at a local store.
Demand
Probability
1
0.1
2
0.2
3
0.3
4
0.2
5
0.2
The expected daily demand is
1.8

7. 2.8
3.2
4.0
9. The following represents the probability distribution for the
daily demand of microcomputers at a local store.
Demand
Probability
1
0.1
2
0.2
3
0.3
4
0.2
5
0.2
The standard deviation is
1.34

8. 1.56
1.67
1.25
10. The mean of a normal probability distribution
is always equal to zero
can be any value as long as it is positive
can be any value
is always greater than zero
11. Let Z be the standard normal random variable. What is
P(Z>1.08)?
0.0087
0.0708
0.0838
0.1075

9. None of the above
12. Let Z be the standard normal random variable. Find z so that
the area to the left of z is 0.0250.
-1.96
-1.81
-1.28
1.28
None of the above
13. Let Z be the standard normal random variable. Find z>0 so
that the area between -z and +z is 0.98.
1.28
1.645
1.96
2.33

10. 2.575
14. Assume the average amount of precipitation in a town of
Texas, during the month of April is 4.0 inches (the World
Almanac, 2000). Assume that a normal distribution applies and
that the standard deviation is 0.5 inches. What percentage of the
time does the amount of rainfall in April exceed 4.5 inches?
0.0228
0.0125
0.1587
0.2501
None of the above
15. Assume the average amount of precipitation in a town of
Texas, during the month of April is 4.0 inches (the World
Almanac, 2000). Assume that a normal distribution applies and
that the standard deviation is 0.5 inches. What percentage of the
time does the amount of rainfall in April be less than 4.5
inches?
0.6228
0.7125

11. 0.7587
0.8413
None of the above
16. Assume the average amount of precipitation in a town of
Texas, during the month of April is 4.0 inches (the World
Almanac, 2000). Assume that a normal distribution applies and
that the standard deviation is 0.5 inches. A month is classified
as extremely wet if the amount of rainfall is in the upper 10%
for the month. How much precipitation must fall in April for it
to be classified as extremely wet?
4.0 inches
4.64 inches
4.82 inches
4.98 inches
17. Assume the average amount of precipitation in a town of
Texas, during the month of April is 4.0 inches (the World
Almanac, 2000). Assume that a normal distribution applies and
that the standard deviation is 0.5 inches. A month is classified
as extremely dry if the amount of rainfall is in the lower 10%
for the month. How much precipitation must fall in April for it
to be classified as extremely dry?

12. 4.0 inches
3.36 inches
3.18 inches
3.02 inches
18. Assume the average stock price for companies making up
the S&P 500 at certain time period is $40, and the standard
deviation is $10. Assume the stock prices are normally
distributed. What is the probability company will have a stock
price no higher than $50?
0.9332
0.8413
0.1583
0.0068
None of the above
19. Assume the average stock price for companies making up

13. the S&P 500 at certain time period is $40, and the standard
deviation is $10. Assume the stock prices are normally
distributed. How high does a stock price have to be to put a
company in the top 2.5%?
$46.20
$52.80
$56.45
$59.60
20. Assume the average stock price for companies making up
the S&P 500 at certain time period is $40, and the standard
deviation is $10. Assume the stock prices are normally
distributed. How high does a stock price have to be to put a
company in the bottom 10%?
$27.20
$20.40
$23.55
$18.78

14. 21. Random samples of size 81 are taken from a process (an
infinite population) whose mean and standard deviation are 100
and 27, respectively. The distribution of the population is
unknown. The mean and the standard error of the distribution of
sample means are
100 and 3
100 and 2
100 and 27
200 and 2
22. A population has a mean of 53 and a standard deviation of
21. A sample of 49 observations will be taken. The probability
that the sample mean will be less than 57.95 is
0.9505
0.0495
0.4505
None of the alternative answers is correct