Quantitative Data and Probability Quizzes

Think you’ve got your head wrapped around Quantitative Data and Probability? Put your knowledge to the test. Good luck — the Stickman is counting on you!
Q. Which of these is NOT a name for the normal distribution?


Normal distribution
Gaussian distribution
Normal curve
Bell-shaped curve
Standard distribution
Q. Which of the following is NOT a characteristic of a normal distribution?


It is symmetric.
The mean, median, and mode are equal.
The mean and standard deviation are equal.
Values close to the mean are common.
Values far from the mean are rare.
Q. What is another name for the Empirical Rule?


67-94-92.3 Rule
66-96.5-98 Rule
68-95-99.7 Rule
68-95.7-99 Rule
68-95-99 Rule
Q. What is the standard normal distribution?


The very model of a modern major distribution.
A regular, ordinary channel for moving goods.
A normal distribution that is skewed to one side.
A normal distribution with mean 0 and standard deviation 1.
A normal distribution where the Empirical Rule isn't valid.
Q. What is the formula for the Z-score?


Z = x – μ
Z = μ – x
Q. What can we say about a data point if its Z-score is -2.2?


The Z-score is negative, so it is an outlier.
It must be larger than the mean.
This Z-score is not actually possible.
It is in the top 1% of all the data.
It is over 2 standard deviations below the mean.
Q. A dataset is normally distributed, with a mean of 8 and a standard deviation of 4. What is the Z-score of 6?


-2
2
0.25
-0.5
0.5
Q. Which of these is equivalent to Pr(x > -Z) on a standard normal distribution?


Pr(x < -Z)
Pr(x > Z)
1 – Pr(x > Z)
1 + Pr(x < Z)
1 – Pr(x < Z)
Q. Which of these is equivalent to Pr(x < Z) on a standard normal distribution?


Pr(x < -Z)
Pr(x > Z)
1 – Pr(x > Z)
1 + Pr(x < Z)
1 – Pr(x < Z)
Q. If Pr(x > Z1) = 0.4, and Pr(x > Z2) = 0.3, what is Pr(Z1 < x < Z2)?


0.1
0.7
0.3
1
0