Textbook Question
Name each level of measurement for which data can be qualitative.
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1. Intro to Stats and Collecting Data
Intro to Stats
1:43 minutesProblem 1.2.9
Textbook Question
Determine whether the data are qualitative or quantitative. Explain your reasoning.
Ages of dogs at a rescue facility
Verified step by step guidance1
Step 1: Understand the difference between qualitative and quantitative data. Qualitative data describes attributes or characteristics and is non-numerical (e.g., colors, names, types). Quantitative data represents numerical values that can be measured or counted (e.g., height, weight, age).
Step 2: Analyze the given data, which is 'Ages of dogs at a rescue facility.' The term 'ages' refers to a numerical measurement that represents how old the dogs are.
Step 3: Determine whether the data is numerical or descriptive. Since 'ages' are expressed in numbers (e.g., 2 years, 5 years), this data is numerical.
Step 4: Conclude that numerical data is quantitative because it can be measured and used for mathematical operations such as addition, subtraction, or averaging.
Step 5: Final reasoning: The data 'Ages of dogs at a rescue facility' is quantitative because it represents numerical values that measure the age of each dog.
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Video duration:
1mKey Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Qualitative Data
Qualitative data refers to non-numeric information that describes characteristics or qualities. This type of data is often categorical, meaning it can be divided into groups based on attributes, such as colors, names, or types. In the context of the question, qualitative data would involve descriptions of the dogs, such as breed or temperament.
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Quantitative Data
Quantitative data consists of numeric values that can be measured and analyzed statistically. This type of data can be further classified into discrete data, which can take specific values (like the number of dogs), and continuous data, which can take any value within a range (like height or weight). The ages of dogs, as mentioned in the question, are an example of quantitative data since they can be expressed in numbers.
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Data Classification
Data classification is the process of categorizing data into distinct types based on their characteristics. Understanding whether data is qualitative or quantitative is essential for selecting appropriate statistical methods for analysis. In this case, recognizing that the ages of dogs are numerical allows for the application of various statistical techniques to analyze and interpret the data effectively.
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