Question 11 pts
What is the most frequently occurring outcome called?
Group of answer choices
Mean
Median
Expected value
Standard deviation
Mode
Flag question: Question 2
Question 21 pts
What is the mode of the following data: 0, 1, 2, 2, 3, 4, 4, 4?
Group of answer choices
3
0
1
4
2
Flag question: Question 3
Question 31 pts
The diameter of a specific part has a design specification of 1.000 +/- 0.005 inches. That
is, parts are acceptable if and only if their diameter is between 0.995 and 1.005 inches.
Initially, the diameter of the manufactured parts is normally distributed with a process
mean (average) of 1.000 inches. Suppose that after a change to the process for
manufacturing these parts, the diameter of parts remains normally distributed with a
process mean of 1.000 inches. Which statement is true?
Group of answer choices
The percentage of defective parts will increase if the standard deviation of the
manufactured diameter increases.
There is not enough information provided to determine how the percentage of defective
parts will be impacted.
The percentage of defective parts will decrease if the standard deviation of the
manufactured diameter increases.
Flag question: Question 4
Question 41 pts
Which statement best describes the following two separate data sets (each having three
numbers): -2, 0, 2 and -1, 0, 1?
Group of answer choices
The two data sets have the same mean, but the first has a larger standard deviation.
The two data sets have different means, and the second has a larger standard deviation.
The two data sets have the same mean, but the second has a larger standard deviation.
The two data sets have different means, and the first has a larger standard deviation.
The two data sets have different means, but they have the same standard deviation.
Flag question: Question 5
Question 51 pts
Which type of distribution models many real-world phenomena and is characterized as
having a bell-shape?
Group of answer choices
Exponential
Log-normal
Normal
Triangular
Binomial
Flag question: Question 6
Question 61 pts
How many standard deviations above the mean is the value of 15 for a situation that
follows a normal distribution with a mean of 10 and standard deviation of 1?
Group of answer choices
2
5
4
1
3
Flag question: Question 7
Question 71 pts
Suppose X and Y are negatively correlated. Which of the following applies?
Group of answer choices
As X increases, Y increases.
When X is plotted on the horizontal and Y is plotted on the vertical, their trendline has
negative slope.
When X is plotted on the horizontal and Y is plotted on the vertical, their trendline has
positive slope.
As Y decreases, X decreases.
As X increases, Y stays the same.
Flag question: Question 8
Question 81 pts
For the regression equation Y = -2.3 + X1 + 3.5*X2, what is the predicted value when X1
= 1 and X2 = -1?
Group of answer choices
0
6.8
4.8
-4.8
-2.5
Flag question: Question 9
Question 91 pts
Suppose you collect two sets of data, Set A and Set B. Both sets have the same sample
mean and the same sample standard deviation. Set A contains 100 observations while
Set B contains 225 observations. You compute a 95% confidence interval about your
estimate of the mean for both Sample A and Sample B. Which statements is true?
Group of answer choices
The confidence interval for Sample B is larger than that for Sample A.
The confidence interval for Sample A is larger than that for Sample B.
Not enough information is provided to determine how the samples compare.
Flag question: Question 10
Question 101 pts
A brand of coffee advertises that each package contains 13 ounces. A random sample of
100 bags of coffee has a sample average of 12.95 ounces. Based on the same sample,
you construct a 99% confidence interval for the true average weight and find that the
difference between the stated weight of 13 ounces and the sample average of 12.95
ounces is statistically insignificant at the 1% level. Which statement is true?
Group of answer choices
There is not enough information to tell.
The difference between the stated weight of 13 ounces and the sample average weight
of 12.95 ounces cannot be statistically insignificant at the 5% level.
The difference between the stated weight of 13 ounces and the sample average weight
of 12.95 ounces must be statistically insignificant at the 5% level.

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