Questions and Answers
What is the distinction between qualitative data and quantitative data? Give a few examples of each.
Qualitative data describe categories, while quantitative data represent counts or measures. Examples of qualitative data include brand names of shoes in a consumer survey and eye colors. Examples of quantitative data include heights of students and quiz scores.
The style of shoes of clients entering a store (sneaker, boot, sandal, etc.) is considered what type of data? Why?
Qualitative data because they don't count or measure anything.
The number of students per class gathered for all classes at various elementary schools is considered what type of data? Why?
Quantitative data because it consists of counts or measurements.
The number of cigarettes smoked per day by participants in a lung cancer study is considered what type of data? Why?
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In studying different archaeological sites, an archaeologist classifies sites as prehistoric or modern. This data is considered what type of data? Why?
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The time (in minutes) callers are put on hold by a customer call service center is considered what type of data? Explain why.
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The velocities of different meteorites relative to Earth is considered what type of data? Explain why.
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The number of branch offices different banks have is considered what type of data? Explain why.
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What is the level of measurement for body temperatures in Fahrenheit?
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Study Notes
Data Types
- Qualitative Data: Describes categories and characteristics, e.g., brand names of shoes, eye colors.
- Quantitative Data: Represents counts or measurements, e.g., heights of students, quiz scores.
Examples of Qualitative vs. Quantitative
- Style of Shoes (e.g., sneaker, boot): Qualitative since it doesn't involve counting or measuring.
- Number of Students per Class: Quantitative as it consists of counts or measurements.
- Cigarettes Smoked per Day: Quantitative data indicative of frequency or count.
- Archaeological Sites Classification (prehistoric or modern): Qualitative because it categorizes without measurement.
Discrete vs. Continuous Data
- Time Callers are on Hold: Continuous data as it can take on any value within a range.
- Velocities of Meteorites: Continuous data allowing for a wide range of values.
- Number of Branch Offices of Banks: Discrete data limited to specific counts.
Levels of Measurement
- Body Temperatures in Fahrenheit: Classified as interval level measurement, as it involves ordered data with meaningful intervals but no true zero.
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Description
Test your knowledge on qualitative and quantitative data, including discrete and continuous data types. This quiz will challenge your understanding of examples and levels of measurement in statistics. Perfect for students learning about data classification and characteristics.
