Concept: Representing Data

Essential Question:How do we represent data?

Vocabulary:Dot plotBox and whisker plotHistogram

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4.1.2: Representing Data Sets

Key Concepts• Numerical data can be represented graphically on the

real number line.

• Dot plots and histograms show the frequency of each data value in a data set.

• Each data value in a data set is represented by a dot over that value in a dot plot.

• In a histogram, a rectangle is drawn above each value in a data set. The height of each rectangle corresponds to the number of data points with that value.

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4.1.2: Representing Data Sets

Key Concepts, continued• A histogram can show the frequency of a range of

values.

• The minimum, maximum, first quartile, median, and third quartile of a data set must be calculated before creating a box plot.

• In a box plot, a rectangle is drawn starting at the first quartile and ending at the third quartile. The rectangle shows the middle 50% of the data set. The median is represented in the rectangle by a line. Whiskers are drawn from the rectangle to the minimum and maximum data values.

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4.1.2: Representing Data Sets

Key Concepts, continued• A box plot shows more information about the

expected value of a data set than a dot plot or histogram.

• A dot plot or histogram provides information about the size of a data set, which cannot be seen in a box plot.

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4.1.2: Representing Data Sets

Common Errors/Misconceptions• confusing the mean and median

• using the mean in a box plot instead of the median

• incorrectly setting up the number line before creating a dot plot or histogram

• forgetting to include data values on a dot plot or histogram because they are not labeled on the number line

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4.1.2: Representing Data Sets

Guided PracticeExample 1A pharmacy records the number of customers each hour that the pharmacy is open. The staff is using the information to determine how many people need to be working at the pharmacy at each time of day. The number of customers is in the table on the next slide. Use the table to create a histogram to help the pharmacy staff understand how many customers are in the pharmacy at each time of day.

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4.1.2: Representing Data Sets

Guided Practice: Example 1, continued

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4.1.2: Representing Data Sets

Time frame Number of customers8:00 A.M.–9:00 A.M. 2

9:00 A.M.–10:00 A.M. 010:00 A.M.–11:00 A.M. 811:00 A.M.–12:00 P.M. 1412:00 P.M.–1:00 P.M. 231:00 P.M.–2:00 P.M. 122:00 P.M.–3:00 P.M. 73:00 P.M.–4:00 P.M. 34:00 P.M.–5:00 P.M. 5

Guided Practice: Example 1, continued1. Draw a number line on an x-axis that

corresponds to the range of the data.The x-axis for this data will show the times the customers were counted. The number line for the pharmacy must include the times from 8:00 A.M. until 5:00 P.M. If using a number line that counts by twos, extend the number line to 6:00 P.M.

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4.1.2: Representing Data Sets

Guided Practice: Example 1, continued2. Draw a y-axis that corresponds to the

least and greatest number of times a data value is repeated.The y-axis should be to the left of the labeled x-axis.

The number of customers arriving in each time frame ranges from 0 customers to 23 customers. The y-axis needs to show values from 0 to 23. If using a number line that counts by twos, extend the number line to 24.

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4.1.2: Representing Data Sets

Guided Practice: Example 1, continued

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4.1.2: Representing Data Sets

Guided Practice: Example 1, continued3. Create a rectangle at each value showing

the number of data points at each data value.The rectangles will each span an hour, and will show the number of customers in that hour. There will be no rectangle from 9:00 A.M. to 10:00 A.M., because there were no customers at that hour.

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4.1.2: Representing Data Sets

Guided Practice: Example 1, continued

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4.1.2: Representing Data Sets

✔

Guided Practice: Example 1, continued

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4.1.2: Representing Data Sets

Guided PracticeExample 3The website Rate My Phone conducts reviews of smartphones. One aspect of the phones that is tested is battery life. The minutes of battery life for the newest 25 phones is recorded in the tables on the next two slides. Draw a box plot to represent the data.

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4.1.2: Representing Data Sets

Guided Practice: Example 3, continued

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4.1.2: Representing Data Sets

Smartphone Minutes of battery life Smartphone Minutes of

battery lifeA 380 K 360

B 530 L 550

C 350 M 370

D 390 N 470

E 520 O 280

F 520 P 300

G 430 Q 440

H 330 R 490

I 550 S 530

J 290 T 340

Guided Practice: Example 3, continued

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4.1.2: Representing Data Sets

Smartphone Minutes of battery life Smartphone Minutes of

battery lifeU 250 X 520

V 260 Y 320

W 730

Guided Practice: Example 3, continued1. Order the data from least to greatest. Note

the minimum and maximum data values.The minimum data value is 250, and the maximum data value is 730.

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4.1.2: Representing Data Sets

Guided Practice: Example 3, continued

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4.1.2: Representing Data Sets

Smartphone Minutes of battery life Smartphone Minutes of

battery lifeU 250 M 370

V 260 A 380

O 280 D 390

J 290 G 430

P 300 Q 440

Y 320 N 470

H 330 R 490

T 340 X 510

C 350 E 520

K 360 F 520

Guided Practice: Example 3, continued

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4.1.2: Representing Data Sets

Smartphone Minutes of battery life Smartphone Minutes of

battery lifeB 530 L 550

S 530 W 730

I 550

Guided Practice: Example 3, continued2. Find the median of the data.

The median is the middle-most data value. There are an odd number of data values, so the median is the 13th data value, 390.

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4.1.2: Representing Data Sets

Guided Practice: Example 3, continued3. Find the first quartile of the data.

The first quartile is the middle-most value of the lower half of the data. There are 12 data values in the lower half of the data, so the first quartile is the average of the sixth and seventh data values (320 and 330).

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4.1.2: Representing Data Sets

Guided Practice: Example 3, continued4. Find the third quartile of the data.

The third quartile is the middle-most value of the upper half of the data. There are 12 data values in the upper half of the data, so the third quartile is the average of the 19th and 20th data values (520 and 520).

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4.1.2: Representing Data Sets

Guided Practice: Example 3, continued5. Draw a number line that includes the

minimum and maximum data values.The minimum data value is 250, and the maximum data value is 730. If counting by 50s, extend the number line to 750.

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4.1.2: Representing Data Sets

Guided Practice: Example 3, continued6. Draw a box, beginning at the first quartile

(325) and ending at the third quartile (520).

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4.1.2: Representing Data Sets

Guided Practice: Example 3, continued7. Draw a line in the box at the median (390).

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4.1.2: Representing Data Sets

Guided Practice: Example 3, continued8. Draw a point at the minimum and

maximum data values (250 and 730).

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4.1.2: Representing Data Sets

Guided Practice: Example 3, continued9. Connect the minimum and maximum data

values to the box.

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4.1.2: Representing Data Sets

✔

Guided Practice: Example 3, continued

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4.1.2: Representing Data Sets