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Variation Within Data Sets with the Same Mean Value

Lesson Plan

Variation Within Data Sets with the Same Mean Value

Objectives

In this lesson, students will identify the graphical relationship between the mean and the shape, or distribution, of data. Students will:

  • calculate the mean of a data set in a list or using a graphical representation.
  • generate a data set to have a given mean value.
  • graphically represent data sets.
  • compare different graphical representations for data sets with the same mean.
  • recognize when a data set is symmetric around the mean.

Essential Questions

  • How can we use the mean, median, mode, and range to describe a set of data? [IS.2 - All Students] Why do we need three different measures of central tendency?
  • How can we use mathematics to provide models that help us interpret data, make predictions, and better understand the world in which we live, and what are the limits of these models?

Vocabulary

[IS.1 - Preparation ]

  • Mean: Average; the number found by dividing the sum of a set of numbers by the number of addends.
  • Cluster: Numbers which tend to crowd around a particular point in a set of values.
  • Gap: A space between data points on a graph.
  • Outlier: A value far away from most of the rest in a set of data.
  • Symmetric: An object is symmetrical when one half is a mirror image of the other half. A data set is symmetrical when half the data is above the mean and half is below.
  • Distribution: Arrangement of data to show frequency of occurrence; will form a shape when graphed.

Duration

90–120 minutes [IS.3 - All Students]

Prerequisite Skills

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Materials

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Formative Assessment

  • View
    • Use the 3-2-1 Summary (M-6-5-3_3-2-1 Summary.doc) to assess whether students understand the material well enough to make relevant observations and draw correct conclusions.
    • The Price of Milk group activity (M-6-5-3_Price of Milk.doc) may be used to encourage students to work together and to force a good enough understanding of mean that they can use it backward, i.e., creating the data given the mean. It is also a convenient way to test students’ ability to graphically represent data.
    • The Lesson 3 Exit Ticket (M-6-5-3_Lesson 3 Exit Ticket and KEY.doc) may be used to further assess student mastery.

Suggested Instructional Supports

  • View
    Scaffolding, Active Engagement, Modeling, Explicit Instruction
    W:   Open the lesson with data displayed on a histogram. Students will use the data to expand what they have learned and to discuss the relationships of the data, focusing on relationships and mean.
    H: Students use a familiar concept of game scores to learn about arithmetic mean. The data sets used provide simple mental calculations to allow students to focus on central tendencies rather than on computation skills. Through this activity, students will recognize that different sets of data can have the same mean value. 
    E: Review with students what they learned previously about recording data in stem-and-leaf plots and histograms. Then students will work in small groups to analyze, compare, and display given data. They will discuss similarities and differences in the data sets, emphasizing again that different data sets can have the same mean. Recording sheets are used to help students state their observations and to provide an informal way to check for understanding. 
    R:   Students remain in small groups to collect, analyze, and display their own data sets related to prices for milk. Specific questions are suggested to help students think about the data, express understanding in their own words, and to help the teacher assess progress.
    E:  Use Random Reporter for student presentations of the data found and displayed. Teacher observations and the use of Exit Tickets will help to assess whether students understand the lesson concepts or need remediation.
    T:   Individual student needs are addressed through the extension activities. Suggestions for routine activities allow students to regularly review what they know about data sets and comparisons. The small-group activity provides a review of lesson concepts for students who need additional practice. The expansion activity can be used for students who are ready to meet a greater challenge.
    O:  Prior to teaching this lesson students should have an understanding of how to calculate mean and how to represent data in a stem-and-leaf plot and/or a histogram. Since the goal of the lesson is to be able to generate data sets to fit certain criteria the use of calculators may be beneficial.

     

    IS.1 - Preparation
    Consider using graphic organizers (e.g., Frayer Model, Verbal Visual Word Association, Concept Circles) to review key vocabulary prior to or during the lesson. Consider reviewing the term “central tendency” prior to or as part of this lesson as well. Consider making these words as relevant as possible for the students.  
    IS.2 - All Students
    Consider having examples and non-examples of mean. Median, and mode  posted in the classroom or on a word wall so that students can continue to see the differences amongst the three.  
    IS.3 - All Students
    Consider preteaching the concepts critical to this lesson, including the use of hands-on materials. Throughout the lesson (based upon the results of formative assessment), consider the pacing to be flexible to the needs of the students. Also consider the need for reteaching and/or review both during and after the lesson as necessary.  
    IS.4 - Struggling Learners and ELL Students
    Consider a “hook” for all student to see relevance for this.  Relate this to their lives in some way, in particular for struggling students and ELL students. The histograms will be helpful, but consider asking students for other examples, or have some ready to share.  
    IS.5 - All Students

    Remember to be sure that all students know the definition of an outlier.

    IS.6 - All Students
    If there are any students in the group that may need a model of this, consider pulling together a small group where there is teacher modeling of this expectation.  
    IS.7 - All Students
    This could be a good time to consider to allow the students to share their responses with their partner or within a small group. These partners or groups should be pre-assigned with partner norms or groups norms previously designated.  
    IS.8 - Struggling Learners and ELL Students
    Allowing students to create their own scenarios builds motivation for student interest for all students, struggling students and students who are ELLS.  
    IS.9 - Struggling Learners and ELL Students
    Struggling students or Ell students may be more successful working with a partner or in a small group. Holding everyone accountable will ensure motivation.  
    IS.10 - All Students
    These questions may be posted on the smart board or whiteboard. Students can respond to these within their groups.  
    IS.11 - All Students
    This is a good opportunity for formative assessment. Consider using the minute-by-minute information obtained to correct any student misconceptions.  
    IS.12 - All Students
    Setting group norms and providing group feedback as to how the groups are working will maintain motivation and be helpful in the learning process.  
    IS.13 - All Students
    Provide examples of this so students know the expectations.  
    IS.14 - All Students
    Posting responses on the board makes this visible for all students and sets clear expectations for all.  
    IS.15 - All Students
    This is an excellent way to be sure that students have the conceptual understandings for this, and then to be able to correct any misconceptions.  
    IS.16 - All Students
    Consider listing these out on a chart so that students can see the range of strategies that students have used so that they can see there is more than one way to solve the problems.  
    IS.17 - All Students
    Random reporter is a great way to formatively assess the students and to hold everyone accountable.  
    IS.18 - All Students
    Clarifying misconceptions immediately is a great way to correct students learning’s so that it is not more difficult later.  
    IS.19 - Struggling Learners and ELL Students
    These are great ways to differentiate this lesson for all levels of learners. Formative assessment will tell you which group struggling learners and students who are ELLS’s should be assigned.  

Instructional Procedures

  • View

    “In today’s lesson we are going to calculate the mean value of data sets. [IS.4 - Struggling Learners and ELL Students] We then will look to see if there is a graphical relationship between the mean and the shape, or distribution, of the data.” Post Histograms (M-6-5-3_Histograms.doc) for students to see. “By using the following histograms, we can make observations about the way the data is represented. Is it clustered together? Are there gaps? Are there outliers? [IS.5 - All Students] Can the shape help show a relationship between the data and the mean?”

    Give every student a few sticky notes. “If the target number is 50, record 5 numbers on your sticky note that when added together the sum will be 50. Use positive whole numbers only. Be sure you have 5 numbers in your data set that when added together the total equals 50.” [IS.6 - All Students] Allow students some time to complete this task. “Before we share our data sets, do you think we will all have the same numbers? Why or why not?” Allow students some time to think-pair-share. Then allow students to share their thinking aloud. [IS.7 - All Students] “You each have a data set that when the numbers are added together the sum will be 50. Now, you will come up with a scenario for your five numbers that add up to 50. One example is that the numbers you wrote down are the number of points a junior league basketball player scored in his last 5 games. How can you calculate the average number of points per game using the mean? Now you come up with a different scenario for your numbers. The question will be the same question but instead of ‘points per game’ it will be what your scenario is about.” Allow students some time to discuss and share their thinking. Then model using the think aloud strategy and record the calculations on the board. [IS.8 - Struggling Learners and ELL Students]

    Have some of the students share the scenario they came up with for their numbers. “Were there any scenarios that were the same? Do the numbers make sense based on the scenario?”

    • “First you have to add up the numbers in the data set. Let’s say the data set included 11, 5, 24, 7, 3. If I add the numbers together the sum equals 50: 11 + 5 + 24 + 7 + 3 = 50.
    • To find the mean I divide the sum by the number of items in the data set. There are five numbers in my data set. 50 ¸ 5 = 10. The mean of the data set shown is 10.
    • That means the average number of points scored per game would be 10.”

    “Now it is your turn to calculate the mean for your data set. When you are finished, you can record the mean for your data set on a sticky note. Then share your findings with students around you. What do you notice? Why did this happen?”

    “In the last activity we saw how different data sets can have the same mean value. In the context of the problem we used, the mean represents the average number of points scored in five games, which was 10. When you look at your original data you can see how in some of the games more points were scored and in some of the games fewer points were scored. Remember mean is the average for a data set.”

    Give each student a sheet of white paper and ask students to represent their data graphically. Encourage the use of stem-and-leaf plots or histograms. [IS.9 - Struggling Learners and ELL Students] While students are working monitor student performance and provide verbal guidance where necessary. Ask students questions similar to those listed below to help assess understanding. [IS.10 - All Students]

    • How are you going to represent your data set graphically?
    • Will your graphic representation be similar to others in the classroom? Why?
    • What observations can you make by looking at your data represented graphically?
    • Is the mean an actual number in your data set?
    • Where is the mean represented on your graphic representation? Does this seem reasonable? Explain.
    • Is your data symmetric around the mean? In other words is about half of the data above the mean value and about half of the data below the mean value?
    • Can you find someone in the classroom who has a different graphic representation than you even if you have the same mean?
    • How can two people with the same mean have different graphic representations?

    Distribute copies to each student of the data set Baseball Wins for the Past Ten Years (M-6-5-3_Baseball Wins and KEY.doc). “In the next part of the activity you are going to investigate data sets that show baseball wins for the past ten years for three different teams. To begin you will calculate the mean for each team. Remember to add up the numbers in the data set and then divide by the number of items in the data set. After calculating the mean values for each team finish the questions on the bottom half of the sheet.” Students can calculate the mean using paper/pencil or calculators depending on student readiness, time, and availability of calculators. While students are working, monitor student performance and provide support if necessary. [IS.11 - All Students]

    Group students into triads. “Notice how the mean value for all three teams is the same. Also notice how the distribution, or shape, of the data varies from team to team. With the members in your group discuss the questions at the bottom of the activity sheet. Adjust answers if necessary.” This will allow students to receive immediate feedback on their performance and clarify any misunderstandings by discussing the answers with classmates. Be available for any questions that arise that cannot be answered within the groups. [IS.12 - All Students]

    “Now with the members of your group discuss the distribution of data as seen in the stem-and-leaf plots. Then record on chart paper your group’s observations about the relationship you observe between the mean value and the shape of the data for the three teams. Include similarities and differences. Use mathematical language when possible. [IS.13 - All Students] Points to consider will be posted on the board. [IS.14 - All Students] Your responses should not be limited to those posted ideas.” Display the Points to Consider black line template on the board for students (M-6-5-3_Points to Consider.doc). Note: Questions listed are from Points to Consider template.

    • What observations can you make by looking at the data represented graphically?
    • Is the mean an actual number in the data set?
    • Where is the mean represented on the graphic representation? Does this seem reasonable? Explain.
    • Is the data symmetric around the mean? In other words is about half of the data above the mean value and about half of the data below the mean value?
    • Are there clusters or gaps in the data?
    • Are there outliers in the data? (Remember an outlier is a piece of data that stands apart significantly from the rest of the data.)

    Have students record their observations on chart paper. When all groups are finished have students post their group’s chart paper around the room. Have groups do a carousel walk from chart paper to chart paper and notice similarities and differences in thinking. When students return to their original group’s chart paper have each student complete a summary (M-6-5-3_3-2-1 Summary.doc). In the top row students record three key observations they have made; in the second row students record two mathematical vocabulary words along with an explanation of how those words can be used to help describe data; in the bottom row students record one realization made or one question they may still have about the concept or activity. Discuss student responses and clarify any misunderstandings. [IS.15 - All Students]

    For the next part of the lesson students will remain in groups. “It is your group’s job to generate a collection of 5 reasonable prices for gallons of milk where the average price per gallon is $3.00. Your goal is to construct a data set that is not symmetric around the mean.” Give each group a copy of the Price of Milk activity sheet (M-6-5-3_Price of Milk.doc). The use of calculators may be an option for this activity. Monitor student understanding and provide support if needed. To assess understanding while students are working in groups use questions similar to those listed below.

    • How did you begin this task?
    • What strategies did you use to help generate your collection of reasonable prices? [IS.16 - All Students]
    • What problems did you encounter when trying to create a data set?
    • How is knowing the mean and having to calculate a data set different than knowing the data set and having to calculate the mean?
    • Do you have any clusters or gaps in your data set? Is there an outlier?
    • Is your data symmetric around the mean? Explain.
    • Do you think it is easier to create a data set that is symmetric or non-symmetric around the mean? Why do you think this way?
    • Describe the relationship between the mean value and the shape of the data you generated.

    When students are finished, have groups present their work. Using the random reporter method, [IS.17 - All Students] ask each group to present the information from the Price of Milk. The random reporter method is a strategy where a random member of each group is asked to present that group’s work. This method reinforces the idea that all members of the group should understand how to explain their group’s work and be prepared to present the information. Monitor groups’ performances and explanations. Clarify any misconceptions and highlight good mathematical thinking and processes. [IS.18 - All Students] Make appropriate comparisons.

    “In this lesson we investigated data sets that had the same mean values but whose shape, or distribution of data, varied from one data set to the next.” Have students complete an exit ticket (M-6-5-3_Lesson 3 Exit Ticket and KEY.doc). Give the exit ticket to students with about five minutes left in class; they must complete it and hand it in before leaving. You can quickly review students’ responses. Information provided by the exit ticket will identify who may need additional practice and who demonstrates proficiency.

    Extension:

    Use the following strategies and activities to meet the needs of your students during the lesson and throughout the year. [IS.19 - Struggling Learners and ELL Students]

    • Routine: To review the concept that data sets can have the same mean value yet different shapes, or distribution of data, give students one of the problems below. Allow students time to find a data set to fit the criteria. Then have students compare their data sets with other students. Have students discuss how the data sets and distribution of data are similar and different.
    • Juan earned an average score of 90% on five spelling tests. What are five possible scores Juan earned on each of his spelling tests?
    • The average amount of sugar per serving found in five brands of cereal is 3 grams. What are the possible grams of sugar per serving in each of the five brands of cereal?
    • The average price of a ticket to attend a baseball game depending on where you sit is $50. What are four possible ticket prices for each section?
    • Small Group: Create a problem for students to solve. For example: Mason played in six basketball games and scored the following points: 3, 5, 7, 9, 15, 15. What is the average number of points he scored per game? Ask students to calculate the mean value of points Mason scored each game which is 54¸ 6 = 9 points. Construct a stem-and-leaf plot together. Using Points to Consider (M-6-5-3_Points to Consider.doc), ask students probing questions. Guide student thinking to ensure math reasoning and math language are being utilized. Then ask students to generate another group of six numbers that equals the same number of total points Mason scored which is 54. Also encourage students to try to generate a data set that would be reasonable yet have a different shape. Use of calculators may be beneficial as students guess and check for a data set that fits the criteria. Check for accuracy. Then have students independently construct a stem-and-leaf plot for their new data set and compare their graphical representations with other members of the group. Repeat the process using a similar problem if necessary. For example: Brynn saw that her last five phone calls on her cell phone lasted 20 minutes, 14 minutes, 7 minutes, 7 minutes, and 7 minutes. What is the average number of minutes per phone call?
    • Expansion: Students can be given certain criteria and then asked to generate a data set that fits the given criteria. Use problems similar to those listed below.
    • Find a set of five numbers where the mean is 5, the median is 5, and the mode is 7. The sum of the digits is 25. (Possible answer: 7, 7, 5, 4, 2)
    • Find a set of five numbers where the mean is 60 and the median is 25. The sum of the digits equals 300. (Possible answer: 25, 25, 25, 100, 125)
    • Find a set of four numbers where the mean is 3, the median is 3, and the mode is 3. (Possible answer: 1, 3, 3, 5)
    • Find a set of seven numbers where the mean and the median have the same value but the mode has a different value. (Possible answer: 3, 6, 8, 10, 13, 15, 15 ~ mean = 10, median = 10, mode = 15)

    Students also can create similar problems of their own and then exchange their problems with a partner to solve.

Related Instructional Videos

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DRAFT 10/07/2011
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