POS 3713 Midterm 3 - PRACTICE QUIZ Exam
#Questions with correct answers
What is the key insight of the Central Limit Theorem? - ✔✔Regardless of the
shape of a frequency distribution of a randomly chosen sample, a hypothetical
distribution of an infinite number of sample means will be normally distributed,
with a knowable variance.
Which of the following is true about normal distributions? - ✔✔a. It is the basis of
statistical inference.
b. Approximately 68% of the area under the curve lies within one standard
deviation of its mean
c. It is symmetrical about its mean.
It is NOT common in the real world
Which of the following is true about a sampling distribution? - ✔✔a. A sampling
distribution for a variable is normally distributed even if the underlying population
is not distributed normally for that variable.
b. Sampling distributions are almost never observed in real life.
c. The mean of a sampling distribution is equal to the true population mean.
NOT true: A sampling distribution represents a hypothetical distribution, showing
what the true population distribution would look like if our sample size were
infinitely large.
#Questions with correct answers
What is the key insight of the Central Limit Theorem? - ✔✔Regardless of the
shape of a frequency distribution of a randomly chosen sample, a hypothetical
distribution of an infinite number of sample means will be normally distributed,
with a knowable variance.
Which of the following is true about normal distributions? - ✔✔a. It is the basis of
statistical inference.
b. Approximately 68% of the area under the curve lies within one standard
deviation of its mean
c. It is symmetrical about its mean.
It is NOT common in the real world
Which of the following is true about a sampling distribution? - ✔✔a. A sampling
distribution for a variable is normally distributed even if the underlying population
is not distributed normally for that variable.
b. Sampling distributions are almost never observed in real life.
c. The mean of a sampling distribution is equal to the true population mean.
NOT true: A sampling distribution represents a hypothetical distribution, showing
what the true population distribution would look like if our sample size were
infinitely large.
