**Name** |
**Description** |

Sea Ice Analysis Algebra | The changing climate is an important topic for both scientific analysis and worldly knowledge. This lesson uses data collected by the National Snow and Ice Data Center to create and use statistical analysis as a tool to evaluate the sea ice loss. Students will use technology to quickly generate graphs for each month looking for trends, patterns, or deviations over time. |

Sensoring Data | In this follow up lesson, students will explore data collection using the weather station sensor and perform statistical analysis of the data. Students will use a scientific method of inquiry to plan an investigation of their own. This activity is meant to allow students to use a variety of skills they have acquired throughout a statistics unit in a personally meaningful way. |

Sea Ice Analysis | The changing climate is an important topic for both scientific analysis and worldly knowledge. This lesson uses data collected by the National Snow and Ice Data Center to create and use statistical analysis as a tool to evaluate the sea ice loss. Students will use technology to quickly generate graphs for each month looking for trends, patterns or deviations over time. |

What's My Grade? | "What's My Grade" is a lesson that will focus on a sample student's grades to demonstrate how a final grade is calculated as well as explore possible future grades. Students will create the distributions of each of grade category using histograms. They will also analyze grades using mean and standard deviation. Students will use statistics to determine data distribution while comparing center and spread of two or more different data sets. |

The Distance a Coin Will Travel | This lesson is a hands on activity that will allow students to collect and display data about how far different coins will travel. The data collected is then used to construct double dot plots and double box plots. This activity helps to facilitate the statistical implications of data collection and the application of central tendency and variability in data collection. |

Which is Better? Using Data to Make Choices | This lesson gives students the opportunity to use technology to investigate variability in data. Students will draw conclusions and cite evidence from the data to support their conclusions. |

Outliers in the Outfield – Dealing With Extreme Data Points | Students will explore the effects outliers have on mean and median values using MLB salaries stats. |

Marshmallow Madness | This lesson allows for students to have a hands on experience collecting real-world data, creating graphical representations, and analyzing their own data. Students will make predictions as to the outcome of the data and compare their predictions to the actual outcome. |

Digging the Plots | Students are asked to construct given data in a data plot to analyze and determine if the data is symmetric, skewed, or uniform with an appropriate explanation. Students will give a visual display of interpreted results. |

Centers, Spreads, and Outliers | The students will compare the center and spread of data sets as well as find the effects of outliers. |

Should Statistics be Shapely? | This resource is a lesson plan developed for students to master MAFS.912.S.1.3 (Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points).
Students will create a Human Box Plot using their own personal data to master the standard and learning objectives, then complete interactive notes with classroom teacher, a formative assessment, and later a summative assessment to show mastery. |

Sensoring Data | In this follow up lesson, students will explore data collection using the weather station sensor and perform statistical analysis of the data. Students will use a scientific method of inquiry to plan an investigation of their own. This activity is meant to allow students to use a variety of skills they have acquired throughout a statistics unit in a personally meaningful way. |

Hot Coffee Coming Through | In this lesson, students will explore data collection using the temperature probe sensor and perform statistical analysis of the data. Students will use a scientific method of inquiry to plan an investigation to determine which coffee mug is the best. This activity is meant to allow students to use a variety of skills they have acquired throughout a statistics unit in a problem based STEM challenge. Due to the multiple skills there are many standards that are covered.
There are two options for this lab. The first student handout is for students at an average high school statistics level (Algebra 1) and will allow for standard deviation and graphical analyses of the data. The second option is for advanced students that have been exposed to hypothesis testing of claims (Algebra 2 or AP Stats). |

Grapevine Fabrication Part 2 | This lesson is a Follow Up Activity to the Algebra Institute and allows students to collect data to perform basic statistical operations to analyze and make comparisons on variability within a certain brand of raisins. Part 1 must be completed prior to starting Part 2. This investigation can elicit discussion about manufacturing and quality control. |

Bubble Gum Bubbles Lab | This lesson is a Follow Up Activity to the Algebra Institute and allows students to collect data by blowing bubble gum bubbles and perform statistical analysis, including standard deviation. This lesson provides students an applied setting to use their previously acquired statistical skills. |

Grapevine Fabrication Part 1 | This lesson is a Follow Up Activity to the Algebra Institute and allows students to collect data to perform basic statistical operations to analyze and make comparisons on variability within a certain brand of raisins. Part 1 may be completed without Part 2. This investigation can elicit discussion about manufacturing and quality control. |

Florida's Manatee Population | Students will use box plots to identify data on the past and present manatee populations on both coasts of Florida during the winter months, January through March. This lesson is designed to use technology to create box plots and analyze data. As an alternate lesson without technology, the manatee data in this lesson can be used to create box plots with graph paper and pencils. Students will use data about the past and current manatee populations in Florida and display and analyze the data using Excel and Geogebra.
This lesson is intended to be an enrichment experience and should be used after students have mastered box plots as described in the standard MAFS.912.S-ID.1.1. |

House Hunting! | Students will use criteria such as median home price, neighborhood safety, and likelihood of evacuation during a hurricane to rank a list of neighborhoods in which to shop for a home. |

Representing Data 1: Using Frequency Graphs | This lesson unit is intended to help you assess how well students are able to use frequency graphs to identify a range of measures, make sense of this data in a real-world context, and understand that a large number of data points allow a frequency graph to be approximated by a continuous distribution. |

Representing Data 2: Using Box Plots | This lesson unit is intended to help you assess how well students are
able to interpret data using frequency graphs and box plots. In
particular, this unit aims to identify and help students who have
difficulty figuring out the data points and spread of data from
frequency graphs and box plots. It is advisable to use the first lesson in the unit, Representing Data 1: Frequency Graphs (32498)*, *before this one. |