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# 6-6 - PowerPoint PPT Presentation

6-6. Classifying Data. Objective Classify data as either categorical or quantitative Understand the difference between discrete and continuous. Lesson Quiz: 6-5 Answers .

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Presentation Transcript

6-6

Classifying Data

• Objective
• Classify data as either categorical or quantitative
• Understand the difference between discrete and continuous

1. The data set gives the times of Tara’s one-way ride to school (in minutes) for one week. Find the mean, median, mode, and range of the data set.

{8, 3, 5, 4, 5}

mean: 5; median: 5; mode: 5; range: 5

2.Which value describes the time that occurred most often?

mode, 13

3. Which value best describes Tara’s ride time? Explain.

Mean, 13; It’s the average time

Make one categorical observation about the picture above.

Explain why this is a qualitative observation.

Make one quantitative observation about the picture above.

Explain why this is a quantitative observation.

Make one categorical observation about the picture above.

Explain why this is a qualitative observation.

Make one quantitative observation about the picture above.

Explain why this is a quantitative observation.

### Discrete Data

Only certain values are possible

(there are gaps between the possible values)

0 1 2 3 4 5 6 7

Examples: Discrete Data
• Number of children in a family
• Number of students passing a stats exam
• Number of crimes reported to the police
• Number of bicycles sold in a day.

Discrete data

We would not find:

• 2.2 children in a family
• 88.5 students passing an exam
• 127.2 crimes being reported
• half a bicycle being sold in one day

Continuous Data

0 1000

Theoretically, with a fine enough measuring device.

(no gaps between possible values)

Examples: Continuous data
• Size of bicycle frame
• Height
• Time
• Age
• Temperature

Any value within an interval is possible with a fine enough measuring device

Discrete Data

Points are NOT connected

Continuous Data

Points ARE connected

Classwork/Homework

6-6Worksheet