Whole Group mini-lesson 5 E focus

Topic: Data Analysis and Probability (Unit 9)Standards: CCSS.Math.Content.5.MD.B.2Essential Question? Can you collect your own data, and compare and analyze results? Materials for teacher: Smart Board, (white board is acceptable), Technology (chrome books/iPads, etc.), anchor chartStudents will need: Notebook, pencil, good attitudeDifferentiated Instruction: Ability/strategy groups within class Intended group: Whole group or small group, direct instruction

Lesson Progression:Data Analysis1. Finding Mean, Median, Mode, Range2. Representing Data- line plot, bar graphs3. Analyzing and Interpreting Data-How to read data and compare by making conclusions- shape of data, MMM, 4. Experimental design and data analysis- Keys to a strong experimental design

Finding Mean, Median, Mode, Range Connection: Have you ever wondered how your grades are calculated? Or how to figure out how much Steph Curry scores per game? Or how experts predict how well a movie will do on its opening weekend? Mean, Median, and Mode my friends!Teaching Point: Today we will be learning about mean, median, and mode. USE ANCHOR CHARTS. Define each. Students will copy in notes. Anchors copies available during choice board time. Demo: Model each with a set of numbers. Numbers will be whole numbers and only 5 numbers in the set. Active Engagement:Give students a set of 5 numbers, whole numbers, and have them independent practice skill. Link: Practice these skills in real life-I challenge you to think of other creative ways to find the MMM in your own life!Representing Data- line plot, bar graphs (2 sessions)Connection: Today we will discuss how to visually represent MMM. Lets look back at Steph Curry. Lets find his scoring totals from the past 5 games and represent this visually how do we do that? What is his MMM? Teaching Point: Have MMM ready. Teach steps and key points to makings a line plot and bar graph. USE ANCHOR CHARTS. Define each. Students will copy in notes. Anchors copies available during choice board time. Demo: Plot scoring totals using steps. Active Engagement:Have students compare scoring avg. Steph to LeBron, John Wall, and Ant Davis over past 5 games. Link: You can now find MMM and plot them using real life situations! But how do we describe and analyze this information? What does it tell us? Analyzing and Interpreting Data-How to read data and compare by making conclusions- shape of data, MMM, Connection: Now that we have our data comparing Steph, LeBron, JW, and AD, how do we describe the data?? What does it tell us? Teaching Point: ANCHOR CHARTS on describing and shape, using MMM, and what we can infer or not infer from data. Define each. Students will copy in notes. Anchors copies available during choice board time. Demo: Describe the data from NBA players. Active Engagement: Give other generic line and bar graphs for students to describe. Link: You are all statisticians! This is a real life career path- companies use these graphs and data to make decisions such as which product to sell or not sell, or which players to sign or not sign!

Experimental design and data analysis- Keys to a strong experimental designConnection: Time to create your own data graphs! You have been working on this during your PBL time, but I want to make sure that you have ALL of the key elements. Teaching Point: USE ANCHOR CHARTS with key elements to experimental design and data analysis. Define each. Students will copy in notes. Anchors copies available during choice board time. Demo: Show my example of the PBL. Active Engagement: Students fill out their own from PBL stationsLink: You all are now scientists, statisticians, and mathematicians! Well done!