2.1 Reflections

Quiz
•
Mathematics
•
University
•
Easy
Standards-aligned
Norborne Berkeley
Used 4+ times
FREE Resource
14 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What percentile is Q1?
25th
50th
75th
90th
Answer explanation
Q1 represents the 25th percentile, which is the correct choice.
Tags
CCSS.6.SP.B.5C
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What percentile is the median?
25th
90th
75th
50th
Answer explanation
The median is the value that divides a dataset into two equal halves. In this case, the correct choice is 50th percentile because it represents the middle value of the dataset.
Tags
CCSS.6.SP.B.5C
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a positive Z-Score indicate?
Data value is above the mean
Data value is below the mean
Data value is equal to the mean
Data value is not significant
Answer explanation
A positive Z-Score indicates that the data value is above the mean.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a negative Z-Score indicate?
Data value is above the mean
Data value is below the mean
Data value is equal to the mean
Data value is not significant
Answer explanation
A negative Z-Score indicates that the data value is below the mean.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a Z-Score of 0 indicate?
Data value is above the mean
Data value is below the mean
Data value is equal to the mean
Data value is not significant
Answer explanation
A Z-Score of 0 indicates that the data value is equal to the mean.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What percentile is Q3?
25th
50th
75th
90th
Answer explanation
Q3 represents the 75th percentile, which means that 75% of the data falls below this value. Therefore, the correct choice is 75th.
Tags
CCSS.6.SP.B.5C
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a Z-Score of 1 indicate?
Data value is one standard deviation above the mean
Data value is one standard deviation below the mean
Data value is equal to the mean
Data value is not significant
Answer explanation
A Z-Score of 1 indicates that the data value is one standard deviation above the mean.
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