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Unit 2: Data and Graphing

This unit focuses on how to effectively collect and organize data using surveys, frequency tables, and line plots. Students will learn to calculate odds in favor of and against an event, as well as understand experimental probability based on real outcomes. The lessons include guided instruction with examples on pet surveys and calculating odds, providing students with the tools to analyze data in practical scenarios. Key vocabulary covered includes sample, population, outlier, experimental probability, and more.

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Unit 2: Data and Graphing

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  1. Unit 2: Data and Graphing

  2. 5.1Collect and Organize Datap. 94-8 • Introduction: • Quick Review • Objective:Learn how to collect data by using surveys and to organize data in frequency tables and line plots • HW: p. 98 #4-14 • Vocab: survey= sample= population= random sample= cumulative frequency= outlier= range= Glossary

  3. Guided Instruction: Topic: Team Names Sample: ______________ Question: __________________________________

  4. Guided Instruction: Example 1: Pet Survey

  5. 26.3Oddsp. 586 Glossary • Introduction: • Quick Review • Objective:To write odds in favor and against an event • Vocab: odds in favor of an event= one possible outcome odds against an event= set of ALL possible outcomes

  6. Guided Instruction: • Example 2: Finding the odds in favor/against an event • BOOKKEEPER • A. Odds in FAVOR of choosing O(favorable 2, unfavorable 8) = • ___/___, _____ to _____, or _____ : ______ • B. Odds AGAINST choosing K or P(unfavorable 7, favorable 3) = • ___/___, _____ to _____, or _____ : ______ • ___/___, _____ to _____, or _____ : ______

  7. 26.5experimental probabilityp. 590 Glossary • Introduction: • Quick Review • Objective:To write odds in favor and against an event • Vocab: experimental probability= number of times a favorable outcome actually occurs compared w/ the total number of times you do an activity: experimental probability = number of favorable outcomes that occur/total number of trials

  8. Guided Instruction: • Example 1: Finding the experimental probability of an event • Green (2), Red (10), Yellow (13) • P (green) = 2/25, .08, 8% • P (red) = 10/25=2/5, .40, 40% • P (yellow) = 13/25, .52, 52% • Theoretical Probability?? Pablo had 10 green __________, 50 red __________, and 40 yellow_____________

  9. RECAP: Match the vocab word with its definition • one possible outcome • set of ALL possible outcomes • one possible outcome • number of times a favorable outcome actually occurs compared w/ the total number of times you do an activity: experimental probability = number of favorable outcomes that occur/total number of trials • set of ALL possible outcomes • P, number of FAVORABLE to POSSIBLE results: P (event) = number of favorable outcomes/number of possible outcomes • outcome • odds in favor of an event • sample space • experimental probability • theoretical probability • odds against an event • I = prt

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