What is a dot plot and how is it used in data representation?
TEK 4.9B

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•
Mathematics
•
4th Grade
•
Hard
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1.
FLASHCARD QUESTION
Front
Back
A dot plot is a statistical chart that consists of dots representing the frequency of data points. Each dot represents one observation, and it is used to visualize the distribution of data points along a number line.
2.
FLASHCARD QUESTION
Front
How do you determine the number of data points within a specific range in a dot plot?
Back
To determine the number of data points within a specific range in a dot plot, count the number of dots that fall within the specified range on the number line.
3.
FLASHCARD QUESTION
Front
What is a stem-and-leaf plot and what information does it provide?
Back
A stem-and-leaf plot is a method of displaying quantitative data in a graphical format, similar to a histogram. It shows the distribution of data while preserving the original data values, with 'stems' representing the leading digits and 'leaves' representing the trailing digits.
4.
FLASHCARD QUESTION
Front
How do you calculate the difference between the highest and lowest values in a data set?
Back
To calculate the difference between the highest and lowest values in a data set, subtract the smallest value (minimum) from the largest value (maximum).
5.
FLASHCARD QUESTION
Front
What does it mean for a student to score 70% or higher on a test?
Back
Scoring 70% or higher on a test means that the student answered at least 70% of the questions correctly, indicating a satisfactory level of understanding of the material.
6.
FLASHCARD QUESTION
Front
What is the purpose of using plots like dot plots and stem-and-leaf plots in statistics?
Back
The purpose of using plots like dot plots and stem-and-leaf plots is to visually represent data, making it easier to identify patterns, trends, and distributions within the data set.
7.
FLASHCARD QUESTION
Front
How can you interpret the data from a dot plot?
Back
To interpret data from a dot plot, observe the number of dots at each value, identify clusters or gaps in the data, and analyze the overall shape of the distribution.
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