Box plots, dot plots and Histograms

Flashcard
•
Mathematics
•
9th Grade
•
Hard
+1
Standards-aligned
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15 questions
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1.
FLASHCARD QUESTION
Front
What is a box plot?
Back
A box plot is a graphical representation of a dataset that displays the median, quartiles, and potential outliers. It shows the distribution of data based on a five-number summary: minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum.
Tags
CCSS.6.SP.B.4
CCSS.HSS.ID.A.1
2.
FLASHCARD QUESTION
Front
What does an outlier represent in a dataset?
Back
An outlier is a data point that differs significantly from other observations in a dataset. It may indicate variability in the measurement or may suggest experimental errors.
3.
FLASHCARD QUESTION
Front
How do you identify an outlier using a box plot?
Back
In a box plot, outliers are typically represented as individual points that fall outside the whiskers, which extend to 1.5 times the interquartile range (IQR) from the quartiles.
4.
FLASHCARD QUESTION
Front
What is a dot plot?
Back
A dot plot is a simple graphical display that uses dots to represent the frequency of data points in a dataset. Each dot represents one observation.
Tags
CCSS.6.SP.B.4
CCSS.HSS.ID.A.1
5.
FLASHCARD QUESTION
Front
What does it mean if data is skewed right?
Back
If data is skewed right, it means that the tail on the right side of the distribution is longer or fatter than the left side. This indicates that there are a few high values that are pulling the mean to the right.
6.
FLASHCARD QUESTION
Front
What is a histogram?
Back
A histogram is a graphical representation of the distribution of numerical data, where the data is divided into bins or intervals, and the frequency of data points in each bin is represented by the height of the bars.
Tags
CCSS.6.SP.B.4
CCSS.HSS.ID.A.1
7.
FLASHCARD QUESTION
Front
How do you determine the shape of a distribution from a histogram?
Back
The shape of a distribution can be determined by observing the pattern of the bars in a histogram. Common shapes include symmetrical, skewed left, skewed right, and uniform.
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