Statistics Review (10)
Flashcard
•
Mathematics
•
9th Grade
•
Practice Problem
•
Easy
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Standards-aligned
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15 questions
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1.
FLASHCARD QUESTION
Front
What is the Interquartile Range (IQR)?
Back
The Interquartile Range (IQR) is a measure of statistical dispersion, defined as the difference between the third quartile (Q3) and the first quartile (Q1) in a data set. It represents the range of the middle 50% of the data.
Tags
CCSS.6.SP.B.5C
2.
FLASHCARD QUESTION
Front
How do you calculate the median of a data set?
Back
To find the median, arrange the data in ascending order and identify the middle value. If there is an even number of observations, the median is the average of the two middle values.
Tags
CCSS.6.SP.B.5C
3.
FLASHCARD QUESTION
Front
What is standard deviation?
Back
Standard deviation is a measure of the amount of variation or dispersion in a set of values. A low standard deviation indicates that the values tend to be close to the mean, while a high standard deviation indicates that the values are spread out over a wider range.
4.
FLASHCARD QUESTION
Front
What is the difference between mean and median?
Back
The mean is the average of a data set, calculated by adding all values and dividing by the number of values. The median is the middle value when the data is ordered. The mean can be affected by outliers, while the median is more robust.
Tags
CCSS.6.SP.B.5D
CCSS.HSS.ID.A.2
5.
FLASHCARD QUESTION
Front
What does a box plot represent?
Back
A box plot (or whisker plot) visually summarizes the distribution of a data set by displaying its minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum.
Tags
CCSS.6.SP.B.4
CCSS.HSS.ID.A.1
6.
FLASHCARD QUESTION
Front
What is the purpose of calculating the interquartile range?
Back
The interquartile range (IQR) is used to measure the spread of the middle 50% of data points, helping to identify outliers and understand the variability in the data.
Tags
CCSS.6.SP.B.5C
7.
FLASHCARD QUESTION
Front
How does adding an outlier affect the mean and standard deviation?
Back
Adding an outlier typically increases the mean and standard deviation, as the outlier skews the average and increases the overall variability of the data.
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