
Choosing Measures of Center and Spread in Statistics

Interactive Video
•
Mathematics
•
6th - 10th Grade
•
Medium
+1
Standards-aligned

Mia Campbell
Used 10+ times
FREE Resource
Standards-aligned
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main objective of the nine students after graduation?
To find the average age of the students.
To determine the central tendency and spread of their salaries.
To find the median height of the students.
To calculate the total number of students in the class.
Tags
CCSS.6.SP.A.3
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the mean salary calculated?
By finding the middle value of the ordered data.
By adding all the salaries and dividing by the number of students.
By finding the most frequently occurring salary.
By subtracting the lowest salary from the highest salary.
Tags
CCSS.6.SP.B.5C
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the median salary in this data set?
$60,000
$56,000
$76,200
$50,000
Tags
CCSS.6.SP.B.5C
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is the mean not a good measure of central tendency in this data set?
Because it is not affected by extreme values.
Because it is lower than all the data points.
Because it is skewed by an outlier.
Because it is the same as the median.
Tags
CCSS.6.SP.B.5D
CCSS.HSS.ID.A.2
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the effect of an outlier on the median?
It makes the median equal to the mean.
It makes the median higher than the mean.
It does not affect the median.
It significantly changes the median.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which measure of central tendency is more robust in a skewed data set?
Mean
Mode
Median
Range
Tags
CCSS.6.SP.B.5D
CCSS.HSS.ID.A.2
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the standard deviation calculated?
By finding the difference between the highest and lowest values.
By taking the square root of the average of squared deviations from the mean.
By finding the middle value of the ordered data.
By adding all the values and dividing by the number of data points.
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