AP Statistics Review
Quiz
•
Mathematics
•
11th Grade - University
•
Practice Problem
•
Hard
Barbara White
FREE Resource
Enhance your content in a minute
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
How would you describe this graph?
2.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
Two sections of a class took the same quiz. Section A had 15 students who had a mean score of 80, and section B had 20 students who had a mean score of 90. Overall, what was the approximate mean score for all students on the quiz?
3.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What does μ stand for?
4.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What does σ stand for?
5.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What does x̄ stand for?
6.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
The time, in minutes, it took each of 11 students to complete a puzzle was recorded and is shown in the following list.
9, 17, 20, 21, 27, 29, 30, 31, 32, 35, 58
One of the students who completed the puzzle claimed that there were two outliers in the data set. Based on the 1.5 × IQR rule for outliers, is there evidence to support the student’s claim?
Yes, there are two outliers. One outlier is 9 minutes and the other outlier is 58 minutes.
No, there is only one outlier at 9 minutes.
No, there is only one outlier at 58 minutes.
No, there are three outliers. One outlier is 9 minutes, one outlier is 35 minutes, and one outlier is 58 minutes.
No, there are no outliers.
7.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
A reporter collected data on the purchase prices, in thousands of dollars, of 72 cars sold in a region. The above histogram summarizes the reporter’s data.
For a presentation on the data collected, the reporter used the median of the distribution to describe the typical purchase price. Which of the following might explain the use of median to describe the typical purchase price?
There is an outlier between $80,000 and $85,000. Medians are resistant to outliers, while means are not.
The number of observations that fall within a given interval is known. However, within each interval, the actual values are not known.
The distribution is left skewed.
The values represented in the histogram are in the thousands.
The distribution is uniform.
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