The video tutorial explores different data representation methods, including dot plots, histograms, and box plots, to analyze data effectively. It uses examples like Pixar films' running times and used-car mileage to demonstrate how these visual tools can help find medians and answer specific questions. The tutorial emphasizes the strengths and limitations of each method in various scenarios.

Can a histogram be used to accurately find the median?

• No, because it lacks precise data points

• Yes, always

• Yes, but only with additional information

• No, unless it's a cumulative histogram

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CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

How many Pixar films had a running time of 96 minutes?

• 1

• 2

• 3

• 4

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CCSS.3.MD.B.4

Is it possible to list all individual data points using a histogram?

• Yes, easily

• No, it's not specific enough

• Yes, but with some difficulty

• No, unless the histogram is very detailed

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CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Why might a dot plot be useful for finding the median?

• It shows data distribution

• It lists all data points

• It visually represents the median

• It groups data into intervals

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CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Which type of data representation explicitly indicates the median?

• Box plot

• Dot plot

• Histogram

• Bar chart

What is the median running time of Pixar's first 14 films according to the box plot?

• 99 minutes

• 96 minutes

• 95 minutes

• 100 minutes

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CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

How many vehicles had driven more than 200,000 kilometers?

• 6

• 3

• 4

• 5

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CCSS.2.MD.D.9

CCSS.3.MD.B.4

Which display is not useful for finding how many vehicles had a mileage more than 200,000 kilometers?

• Line graph

• Box plot

• Dot plot

• Histogram

What is the median distance driven by the vehicles according to the box plot?

• 160,000 kilometers

• 150,000 kilometers

• 140,000 kilometers

• 130,000 kilometers

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CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

What disadvantage does a box plot have compared to a histogram when determining the count of values in a specific range?

• It cannot show specific counts

• It only shows the median

• It groups data too broadly

• It is less visually intuitive