IM Alg1.1.3 Practice: A Gallery of Data

The box plot represents the distribution of speeds, in miles per hour, of 100 cars as they passed through a busy intersection.
[img]data:image/png;base64,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[/img][br]What is the smallest value in the data set? Interpret this value in the situation.[br]
What is the largest value in the data set? Interpret this value in the situation.[br]
What is the median? Interpret this value in the situation.[br]
What is the first quartile (Q1)? Interpret this value in the situation.[br]
What is the third quartile (Q3)? Interpret this value in the situation.[br]
The data set represents the number of eggs produced by a small group of chickens each day for ten days:
7, 7, 7, 7, 7, 8, 8, 8, 8, 9. Select all the values that could represent the typical number of eggs produced in a day.
The dot plot displays the lengths of pencils (in inches) used by students in a class.
[img]data:image/png;base64,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[/img][br]What is the mean?
The histogram represents ages of 40 people at a store that sells children's clothes.
[img]data:image/png;base64,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[/img][br]Which interval contains the median?
The data set represents the responses, in degrees Fahrenheit, collected to answer the question “How hot is the sidewalk during the school day?”.
[size=150]92, 95, 95, 95, 98, 100, 100, 100, 103, 105, 105, 111, 112, 115, 115, 116, 117, 117, 118, 119, 119, 119, 119, 119, 119[/size][br][br]Create a dot plot to represent the distribution of the data.[br]Create a histogram to represent the distribution of the data.[br][br][size=150]Which display gives you a better overall understanding of the data? Explain your reasoning.[/size][br]
Create a dot plot to represent the distribution of the data.
Create a histogram to represent the distribution of the data.
Is “What is the area of the floor in this classroom?” a statistical question? Explain your reasoning.
Close

Information: IM Alg1.1.3 Practice: A Gallery of Data