Topic Plan: Information Handling - Evaluating and Interpreting Housing Prices

Desired Outcome: I can evaluate and interpret raw and graphical data using a variety of methods, comment on relationships I observe within the data and communicate my findings to others.

Week 1: Introduction to Housing Prices - Define housing prices and their importance in the economy - Discuss the factors that affect housing prices - Introduce the concept of data collection and analysis

Week 2: Collecting and Organizing Data - Discuss the different methods of collecting data on housing prices - Teach students how to organize data using tables and graphs - Practice collecting and organizing data on housing prices in different areas

Week 3: Analyzing Data - Teach students how to analyze data using measures of central tendency and dispersion - Practice analyzing data on housing prices in different areas - Discuss the relationships between different variables affecting housing prices

Week 4: Interpreting Data - Teach students how to interpret data using different methods such as histograms and scatter plots - Practice interpreting data on housing prices in different areas - Discuss the implications of the data on housing prices for different stakeholders

Week 5: Communicating Findings - Teach students how to communicate their findings using different methods such as written reports and presentations - Practice communicating findings on housing prices to different audiences - Discuss the importance of clear and concise communication in data analysis

Assessment: - Students will be assessed on their ability to collect, organize, analyze, interpret, and communicate data on housing prices - Assessment will be done through class participation, homework assignments, and a final project where students will analyze and communicate data on housing prices in their local area.