0.5 1 1.2 1.3 2.1 2.1 2.1 2.3 2.5 2.6 3.5 3.6 3.7 4 4.1 4.1 4.2 4.2 4.5 4.7 4.8[br][br]Use technology to create a histogram for the data with intervals 0–1, 1–2, and so on. Describe the shape of the distribution.[br][br]
Which interval has the highest frequency?[br]
[size=150]133, 133, 134, 134, 134, 135, 135, 135, 135, 135, 135, 136, 136, 136, 137, 137, 138, 138, 139, 140[/size][br][br]Use technology to create a dot plot and a box plot. What is the shape of the distribution?[br][br]
Compare the information displayed by the dot plot and box plot.[br]
[img]data:image/png;base64,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[/img][br]
How many values are represented by the histogram?[br]
Write a statistical question that could have produced the data set summarized in the histogram.[br]
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[/img][br]On average, what was the satisfaction rating of the landscaping company?