
Stats: Exploratory Data Analysis Unit Test
Authored by Amanda Guerrero
Mathematics
12th Grade
CCSS covered
Used 7+ times

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20 questions
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1.
MATCH QUESTION
5 mins • 5 pts
Which of the following is the best description of the data used to generate this histogram? (Note that the horizontal axis has no scale, so you will make your choice based solely upon the histogram's shape.)
Match the following
Prices of 1,000 California homes
Shoe sizes of 1,000 men and women
Cholesterol levels of 1,000 adults
SAT Math scores of 1,000 future engineer
Results of rolling a six-sided die 1,000
2.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
How many of the students surveyed eat at least 4 servings of fruits and vegetables daily?
4
8
12
20
Answer explanation
"At least 4" means "4 or more," which is 8 + 3 + 1 = 12.
Tags
CCSS.6.SP.B.4
CCSS.HSS.ID.A.1
3.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
What percentage of the students surveyed eat no more than 3 servings of fruits and vegetables daily?
31.2%
20
68.8%
62.5%
Answer explanation
There are 20 students who eat no more than 3 servings daily and a total of 32 students. So, 20/32 = 0.625, or 62.5%.
Tags
CCSS.6.SP.B.4
CCSS.HSS.ID.A.1
4.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
What proportion of the students surveyed eat exactly 5 servings of fruits and vegetables daily?
0.094
0.063
0.156
2
Answer explanation
There are 3 students who ate exactly 5 servings of fruits and vegetables daily and a total of 32 students. So, 3/32 = 0.09375, which can be rounded to 0.094.
Tags
CCSS.7.SP.A.2
5.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
How many of the people surveyed make less than 9 phone calls daily?
3
27
32
9
Answer explanation
The frequencies between 1 and 8 calls add up to 27, 16 + 11 = 27.
Tags
CCSS.6.SP.B.4
CCSS.HSS.ID.A.1
6.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
How many people were surveyed?
226
20
36
7.2
Answer explanation
The total number of people surveyed is found by adding up all the frequencies: 16 + 11 + 5 + 3 + 1 = 36 people.
Tags
CCSS.6.SP.B.5A
7.
DROPDOWN QUESTION
5 mins • 1 pt
The (a) is a simple but useful visual display of quantitative data. Its principal virtues are:
Easy and quick to construct for small, simple datasets.
Retains the actual data.
Sorts (ranks) the data.
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