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. What is the difference between μ and x?
μ is the median, and x is the mean.
They are two names for the same thing.
μ is the standard deviation of the population, while x is the standard deviation of the sample.
μ is the mean of the population, while x is the mean of a sample.
μ will always be bigger than x.
Q. What is the group of all the individuals we could possibly be interested in?
Population
Sample
Parameter
Estimate
Students
Q. We want to study teachers' attitude toward Shmoop. Which of these will give us a random sample?
Read teachers' reviews of Shmoop posted online.
Find or create a list of teachers, and randomly select people from that list to poll.
Put out an ad in the paper asking teachers to take our poll.
Ask our favorite teachers what they think of Shmoop.
Poll the teachers currently using Shmoop.
Q. We want to study the effects of reading Shmoop on the development of psychic powers. What type of study should we use to collect the data?
An observational study
A sampling distribution
An experiment
A sampling survey
A standard normal distribution
Q. What is a sampling distribution?
A hard candy coating covering a sweet center.
A method for collecting data.
A distribution of samples.
The best way to find probabilities for a normal distribution.
A distribution of possible estimates from sampling a population.
Q. Why don't we accept the null hypothesis?
Collecting more data might show that the null hypothesis is likely to be false.
We can never test the null hypothesis.
We can only accept some alternative hypothesis.
We can accept the null hypothesis, but only when we fail to reject it.
Statisticians yell at us every time we try.
Q. Simulation of a sampling distribution found a margin of error of ±0.22. Which estimate would lead to us rejecting a null hypothesis of 0.4?
0.2
0.3
0.4
0.6
0.7
Q. Simulation of a sampling distribution found a margin of error of ±68. Which estimate would lead to us failing to reject a null hypothesis of -130?
-200
-156
-60
130
0
Q. The mean of a sample is 0.60. A simulation of the sampling distribution is run 400 times. How many trials would have to be as large or larger for us to reject the null hypothesis?
50
20
40
60
30
Q. What is the most likely value for the null hypothesis of this simulated sampling distribution? 
0.50
0.30
0.20
0.25
0.35