Unit Objectives: At the end of this unit, students will have a strong understanding of and be able to independently work with: Data Displaying and describing categorical data Displaying and summarizing quantitative data Understanding and comparing distributions The standard deviation as a ruler and the normal model Focus Standards Addressed in this Unit: CC.2.4.HS.B.1 Summarize, represent, and interpret data on a single count or measurement variable – Important Standards Addressed in this Unit: N/A Misconceptions: Difficulties choosing the most appropriate graph or chart to display data Choosing the correct methods for summarizing shape, center, and spread of a distribution Trying to apply a normal model to a distribution that is not unimodal or symmetric Concepts/Content: Competencies/Skills: Description of Activities: Data Identify the Who, What, When, Direct teacher-led instruction Sample Where, Why, and How of data Large group Q & A discussion Population Choose an appropriate display Independent student work Categorical for categorical data Trial group collaboration Quantitative Summarize the distribution of a Online remedial/enrichment videos Frequency distribution categorical variable with a Contingency frequency table Independence Display the distribution of a Simpson’s paradox categorical variable with a bar Histogram chart or pie chart Stem-and-leaf plot Make and examine a Dotplot contingency table Shape Identify an appropriate display Center for any quantitative variable Spread Discuss center, and spread Skewed of the distribution of a variable Outlier Compute mean, median, and 5-number summary standard deviation Variance
Unit Objectives: At the end of this unit, students will have a strong understanding of and be able to independently work with: Data Displaying and describing categorical data Displaying and summarizing quantitative data Understanding and comparing distributions The standard deviation as a ruler and the normal model Focus Standards Addressed in this Unit: CC.2.4.HS.B.1 – Summarize, represent, and interpret data on a single count or measurement variable Important Standards Addressed in this Unit: N/A Misconceptions: Difficulties choosing the most appropriate graph or chart to display data Choosing the correct methods for summarizing shape, center, and spread of a distribution Trying to apply a normal model to a distribution that is not unimodal or symmetric Concepts/Content: Data Sample Population Categorical Quantitative Frequency distribution Contingency Independence Simpson’s paradox Histogram Stem-and-leaf plot Dotplot Shape Center Spread Skewed Outlier 5-number summary Variance Competencies/Skills: Identify the Who, What, When, Where, Why, and How of data Choose an appropriate display for categorical data Summarize the distribution of a categorical variable with a frequency table Display the distribution of a categorical variable with a bar chart or pie chart Make and examine a contingency table Identify an appropriate display for any quantitative variable Discuss center, and spread of the distribution of a variable Compute mean, median, and standard deviation Description of Activities: Direct teacher-led instruction Large group Q & A discussion Independent student work group collaboration Online remedial/enrichment videos Trial