LEARN NC

K–12 teaching and learning · from the UNC School of Education

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Learning outcomes

Upon completion of this lesson, students will:

  • have clarified the definition of probability
  • have learned about events and outcomes in probability
  • know how to calculate experimental and theoretical probability

Goals taken from: http://www.Shodor.org

Teacher planning

Time required for lesson

90 minutes

Materials/resources

  • Pencil and paper
  • Computer lab with access to the Internet for all students
  • Coins, Spinners, Dice, Cards with which to run experiments
  • Board or projection device

Technology resources

  • Color monitor with access to the Internet for each student
  • Access to Excel spreadsheet program
  • Calculators (optional)
  • Projection capability for teacher’s computer

Pre-activities

Students should be able to convert between fractions, decimals and percents and should be familiar with spreadsheets.

Activities

  1. Begin a discussion on games of chance (or even more interesting to NC students, maybe the idea of a state lottery). Ask questions such as “Who takes the biggest risk, the player or the gamer? Are all games set up with an equal chance for each to win? The design of games such as these is based on probability”.

  2. Define the following vocabulary words:
    • Probability: The measure of how likely it is for an event to occur.
    • Event: An occurrence or the possibility of an occurrence that is being investigated.
    • Outcome: Any one of the possible results of an experiment.
  3. Prompt students that they will begin an investigation on how to calculate probability:
  4. We are going to use the computers to learn about probability, but please do not turn your computers on until I ask you to. I want to show you a little about this activity first.
  5. Projecting from the teacher screen go to the Spinner activity on the Shodor website. Describe the design and how it works.
  6. Ask each student to go to the website and spend a minute or two collecting data for 20 trials with the spinner. The teacher should walk around and check for progress. Once the teacher is satisfied that everyone is at the site, she should then open an Excel spreadsheet and prepare to collect trial results. (See attached for a Sample Chart.) It is recommended that this spreadsheet be created and saved in advance but it is not necessary. It will be helpful for the teacher to show both the Spinner and spreadsheet windows at the same time.
  7. Collect data from each student and record it in the spreadsheet. Determine the sum for each color and the total number of trials. Quickly review procedures on how to change each of these values to a fraction, then decimal, then percent. Calculate the winning percentage for each color on the spinner using Excel, a calculator or the Converter on the Shodor website. Discuss the results. Do any colors seem to have a better chance of winning? What would happen if we increased the number of trials?
  8. Go back to the Spinner using the “How many spins?” box, ask each student to complete 1000 spins. Re-calculate your results in the chart using the new values.
  9. Discuss the results noting that each probability is getting closer and closer to 25%. These values are called experimental probabilities.
    Using mental math, calculators or the Converter, change 25% to a decimal 0.25 and then fraction 1/4. Ask students to look at the spinner noting its construction. Ask “What do you believe can be used as a “short-cut” for finding the probability of each section? If two of the sections were green, how would the probability change?”
  10. Use the “number of sections” button to increase the number to 5. Ask “Without running trials, what is be the probability of landing on the green section? How do you know?”
  11. Brainstorm the formula for probability, projecting it or writing it on the board. P(event)= number of ways an event can happen / number of possible outcomes. Tell students to go back and add this to their definitions. This is called the theoretical probability.
  12. Discuss that probability can be expressed as a valued between 0 and 1. 0 - never will happen, 1 - will always happen. Give examples of each.
  13. For guided practice, use the projector/board to ask some simple probability questions. Example: Tiles numbered 1-10 are put in a box. Determine the probability of each event occurring. P(2), P(even), P(prime), P(0), P(>10), P(<11)

Assessment

Students will be asked to create an experiment that will test a theoretical probability using a spinner, die, coin, deck of cards or other item of student choice deemed appropriate by the teacher. Experiment plans need to be teacher approved prior to proceeding. See attached grading rubric for requirements.

Supplemental information

Comments

Teacher needs to be comfortable using Excel. The instruction can possibly be completed in 45 min if the assessment is given as an “at home” project. 90 min if you would like to allow class time to complete experiments.

North Carolina curriculum alignment

Mathematics (2004)

Grade 6

  • Goal 4: Data Analysis and Probability - The learner will understand and determine probabilities.
    • Objective 4.02: Use a sample space to determine the probability of an event.
    • Objective 4.06: Design and conduct experiments or surveys to solve problems; report and analyze results

  • Common Core State Standards
    • Mathematics (2010)
      • Grade 7

        • Statistics & Probability
          • 7.SP.5Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 1/2...
          • 7.SP.6Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number...
          • 7.SP.7Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy. Develop a uniform probability model by assigning...