Understand histograms, parallel box plots, Objective(s): chart, pie graph, raw data, relative frequency Elementary Statistics Textbook (Bluman) and scatterplots, and use them to compare The student will: graph, stem and leaf plot , time series graph, 2-3 Other Types of Graphs and display data. ungrouped frequency distribution, upper class Represent data using bar graphs, Pareto Additional Resource(s) limit Construct and analyze frequency tables and charts, time series graphs, and pie graphs. bar charts. Elementary Statistics Textbook (Bluman) Draw and interpret a stem and leaf plot. Against All Odds Video, Unit 2, Stemplots Statistics Today, pp. 36, 97 Critical Thinking Challenges, pp.99-100 Task(s) Speaking of Statistics, pp.74, 81 Q1 _Statistics _M&Ms1 Applying the Concepts, pp. 45-46, 60, 83-84 Extending the Concepts, pp. 48, 63, 86-87 Data Projects, pp.100-101 TI-83/84 Step by Step, pp. 64-65, 91 Chapter 3 Data Description – (4 weeks for instruction, review, and assessment) Enduring Understanding(s): Domain: Interpreting Categorical and Elementary Statistics Textbook (Bluman) Data can be represented visually using tables, Quantitative Data 3-1 Measures of Center charts, and graphs. Cluster: Understand, represent, and use There are special numerical measures univariate data that describe the center and spread of Additional Resource(s) Summarize distributions of univariate data. numerical data sets. For univariate measurement data, be able to Essential Question(s): display the distribution, describe its shape; How do we organize, display, and describe select and calculate summary statistics. data? Recognize how linear transformations of How does mean, median, and mode describe univariate data affect shape, center, and data? Task(s) spread. How can percentiles be used when comparing Describe individual performances in terms of an individual to the norm? percentiles, z-scores, and t- scores. How does exploratory data analysis help us to better understand our data? Domain: Using Probability to Make Decisions Cluster: Understand the normal probability Objective(s): distribution. The student will: Use a variety of numerical techniques to
Understand histograms, parallel box plots, and scatterplots, and use them to compare and display data. Construct and analyze frequency tables and bar charts. chart, pie graph, raw data, relative frequency graph, stem and leaf plot , time series graph, ungrouped frequency distribution, upper class limit Elementary Statistics Textbook (Bluman) Statistics Today, pp. 36, 97 Critical Thinking Challenges, pp.99-100 Speaking of Statistics, pp.74, 81 Applying the Concepts, pp. 45-46, 60, 83-84 Extending the Concepts, pp. 48, 63, 86-87 Data Projects, pp.100-101 TI-83/84 Step by Step, pp. 64-65, 91 Objective(s): The student will: Represent data using bar graphs, Pareto charts, time series graphs, and pie graphs. Draw and interpret a stem and leaf plot. Elementary Statistics Textbook (Bluman) 2-3 Other Types of Graphs Additional Resource(s) Against All Odds Video, Unit 2, Stemplots Task(s) Q1 _Statistics _M&Ms1 Chapter 3 – Data Description (4 weeks for instruction, review, and assessment) Domain: Interpreting Categorical and Quantitative Data Cluster: Understand, represent, and use univariate data Summarize distributions of univariate data. For univariate measurement data, be able to display the distribution, describe its shape; select and calculate summary statistics. Recognize how linear transformations of univariate data affect shape, center, and spread. Describe individual performances in terms of percentiles, z-scores, and t- scores. Domain: Using Probability to Make Decisions Cluster: Understand the normal probability distribution. Enduring Understanding(s): Data can be represented visually using tables, charts, and graphs. There are special numerical measures that describe the center and spread of numerical data sets. Essential Question(s): How do we organize, display, and describe data? How does mean, median, and mode describe data? How can percentiles be used when comparing an individual to the norm? How does exploratory data analysis help us to better understand our data? Objective(s): The student will: Use a variety of numerical techniques to Elementary Statistics Textbook (Bluman) 3-1 Measures of Center Additional Resource(s) Task(s)
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