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12 Chapter 1 %u2022 Analyzing One-Variable Dataof sleep amount with a frequency table and a relative frequency table. 9 8 6 7.5 7 8 4 7 7 8 8 8 6 7 8 8 7 7 6 8 9 7 6 5 7 8 8.5 7 9 6 6 6.5 8 9 5 8 7 7 7 7 16. Crowded house? The Census at School survey asked how many people lived in the student%u2019s home. Here are the responses from the 40 students in the sample. Summarize the distribution of household size with a frequency table and a relative frequency table. 3 5 3 2 4 6 4 4 3 5 4 4 2 2 4 4 3 4 3 3 5 3 5 5 4 4 4 5 3 3 3 4 3 3 4 3 2 6 2 4 Applying the Concepts 17. Home sales A realtor in Hilton Head, South Carolina, collects data on all of the homes sold in the town during 2024. The resulting data set lists each home%u2019s address, along with the following information: zip code, number of bedrooms, primary building material (wood, brick, etc.), square footage, whether it has a pool, age of home, and sales price. (a) Identify the individuals in this data set. (b) Classify each variable as categorical or quantitative. 18. Protecting wood How can we help wood surfaces resist weathering, especially when restoring historic wooden buildings? In an experiment that attempted to answer this question, researchers prepared wooden panels and then exposed them to the weather. Here are some of the variables the researchers recorded: type of wood, paint thickness (in millimeters), paint color, weathering time (1, 2, or 3 months), and number of blemishes. (a) Identify the individuals in this data set. (b) Classify each variable as categorical or quantitative. 19. Ranking colleges Some media organizations produce annual rankings of 4-year colleges and universities based on their overall quality. Describe two categorical variables and two quantitative variables that might be considered in determining the rankings. 20. Social media You are preparing to study the social media habits of high school students. Describe two categorical variables and two quantitative variables that you might record for each student. Extending the Concepts 21. Quantigorical? In most data sets, age is classified as a quantitative variable. Explain how age could be classified as a categorical variable. Lesson 1.2 Displaying Categorical Data L E A R N I N G TA R G E T S %u2022 Make and interpret bar charts or pie charts of categorical data. %u2022 Compare distributions of categorical data. %u2022 Identify what makes some graphs of categorical data misleading. A frequency table or relative frequency table summarizes a variable%u2019s distribution with numbers. For instance, the Current Population Survey conducted by the U.S. Census Bureau collected data on the highest education level attained by U.S. 25- to 34-year-olds in 2022. The following relative frequency table summarizes the data. 9 %u00a9 Bedford, Freeman & Worth Publishers. For review purposes only. Do not distribute.