IM Alg1.1.3 Lesson: A Gallery of Data
The dot plots represent the distribution of the amount of tips, in dollars, left at 2 different restaurants on the same night.
[size=150]What do you notice? What do you wonder?[br][br][img]data:image/png;base64,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[/img][/size]
Your teacher will assign your group a statistical question.
Write the question in the space below.
As a group, create a dot plot, histogram, and box plot to display the distribution of the data.
Create a dot plot.
Create a histogram
Create a box plot
As a group, write 3 comments that interpret the data.[br]
As you visit each display, write a sentence or two summarizing the information in the display.
Choose one of the more interesting questions you or a classmate asked and collect data from a larger group, such as more students from the school. Create a data display and compare results from the data collected in class.
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.