Here are the essential concepts you must grasp in order to answer the question correctly.
Qualitative vs. Quantitative Data
Qualitative data refers to non-numerical information that describes characteristics or qualities, such as names or categories. In contrast, quantitative data consists of numerical values that can be measured or counted, allowing for statistical analysis. Understanding the distinction between these two types of data is crucial for determining how to analyze and interpret the information presented.
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Levels of Measurement
The levels of measurement categorize data based on the nature of the information they represent. There are four levels: nominal (categorical data without order), ordinal (categorical data with a defined order), interval (numerical data without a true zero), and ratio (numerical data with a true zero). Identifying the correct level of measurement is essential for selecting appropriate statistical methods and accurately interpreting results.
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Median Household Income
Median household income is a measure that represents the middle income value of a dataset, where half of the households earn more and half earn less. It is a key indicator of economic health and is often used to compare income levels across different regions. Understanding this concept helps in analyzing the socioeconomic status of the states listed in the question.
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