IM Alg1.1.2 Lesson: Data Representations
The dot plot, histogram, and box plot summarize the hours of battery life for 26 cell phones constantly streaming video.
[size=150]What do you notice? What do you wonder?[/size][br][img]data:image/png;base64,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[/img][br][img]data:image/png;base64,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[/img]
A histogram can be used to represent the distribution of numerical data.
Use the set of axes and the information in your table to create a histogram.
The histogram you created has intervals of width 10 (like 40–50 and 50–60). Use the set of axes and data to create another histogram with an interval of width 5.
How does this histogram differ from the other one?
It often takes some playing around with the interval lengths to figure out which gives the best sense of the shape of the distribution.It often takes some playing around with the interval lengths to figure out which gives the best sense of the shape of th
What might be a problem with using interval lengths that are too large?
What might be a problem with using interval lengths that are too small?
What other considerations might go into choosing the length of an interval?
A box plot can also be used to represent the distribution of numerical data.
Using the same data as the previous activity for tomato plants, find the median and add it to the table. What does the median represent for these data?[br]
Find the median of the least 15 values to split the data into the first and second quarters. This value is called the first quartile. Add this value to the table under Q1. What does this value mean in this situation?[br][br]Find the value (the third quartile) that splits the data into the third and fourth quarters and add it to the table under Q3. Add the minimum and maximum values to the table.[br][br]
Use the five-number summary to create a box plot that represents the number of days it takes for these tomato plants to produce tomatoes.
IM Alg1.1.2 Practice: Data Representations
The dot plot displays the number of bushes in the yards for houses in a neighborhood.
[img]data:image/png;base64,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[/img][br]What is the median?
The data set represents the shoe sizes of 19 students in a fifth grade physical education class.
[size=150]4, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 7.5, 7.5, 8, 8, 8.5, 8.5, 9[/size]
Create a box plot to represent the distribution of the data.
The data set represents the number of pages in the last book read by each of 20 students over the summer.
[size=150]163, 170, 171, 173, 175, 205, 220, 220, 220, 253, 267, 281, 305, 305, 305, 355, 371, 388, 402, 431[/size]
Create a histogram to represent the distribution of the data.
Each set of data was collected from surveys to answer statistical questions.
Select all of the data sets that represent numerical data.
Is “What is the typical distance a moped can be driven on a single tank of gas?” a statistical question? Explain your reasoning.