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