Effects of Extremes in the Data

Quiz
•
Mathematics
•
6th Grade
•
Hard
Anthony Clark
FREE Resource
12 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The number of books 11 students read during their summer vacation are shown below.
5, 7, 4, 23, 3, 2, 4, 4, 3, 8, 6
Which statement below is true?
The student who read 2 books caused the data distribution to be skewed left.
The student who read 2 books caused the data distribution to be skewed right.
The student who read 23 books caused the data distribution to be skewed to the left.
The student who read 23 books caused the data distribution to be skewed to the right.
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A data value that is much higher or much lower than the other values in a data set.
outlier
inlier
immalier
sublier
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The ages of nine employees at a company are shown below.
45, 50, 52, 58, 63, 63, 41, 58, 49
The company hires a tenth employee who is 28 years old. What effect does the new employee have on the shape of the data distribution?
The new employee causes the distribution to become skewed to the right.
The new employee causes the distribution to be skewed to the left.
The new employee causes the distribution to become more symmetrical.
The new employee causes the distribution to become less spread out.
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What measure of central tendency (mean, median or mode) would be best for the following set of data?
Mode, because it is the one that shows up the most.
Median, because there is an outlier.
Mean, because there is not an outlier.
There is not a best measure of central tendency for this data.
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Data points that are far away from most other points
Cluster
Outlier
Correlation
Scatter Plot
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is upper extreme of the data below?
18
19
19.5
20
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
How do you identify an outlier in a scatter plot?
A point that lies on the line of best fit
A point that is closer to the y-axis
A point that is far removed from the cluster of other data points
A point that is closest to the x-axis
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