Statistics: Collecting Data

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Statistics Unit 4: Collecting Data Complete Unit Bundle that teaches about observational studies, sample surveys, sampling, experiments, ethics, and more! Welcome! This is the comp lete unit plan for the fourth unit in my regular-level Statistics class. When you purchase this product, you get the following: 5 complete sets of student-guided notes (answer keys included) Powerpoint slides to accompany each set of guided notes 5 homework problem sets + complete test review (answer keys included) 2 assessments – quiz and test (answer keys included) 2 in-class review PowerPoint presentations 3 activities 1 project Suggested pacing and learning targets All of the resources are 100% editable, to modify to fit your classroom needs. The zip folder includes the Word document, which you have permission to edit completely. The PDF version and answer keys are included for your convenience. There are also PowerPoint presentations for some of the review documents. I teach this course without a textbook, so everything that is provided here, can be used without supplementation. ****************************************************************************** The student-friendly learning targets for this unit are: Students will be able to identify between an observational study and an experiment. Students will be able to identify the type of sampling method (simple random sample, stratified, cluster, systematic, multistage, and convenience), given a description of a study. Students will be able to construct a simple random sample using technology and a table of random digits. Students will be able to identify sources of bias in a sampling method. Students will be able to identify the components of a well-designed experiment. Students will identify and compare experimental designs. Students will be able to understand the ethical concerns surrounding experimental procedures. The Common Core Math Standards covered in this unit are: IC.A.1: Understand statistics as a process for making inferences about population parameters based on a random sample from that population. IC.B.3: Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each. ****************************************************************************** Goldie's Curriculums: Statistics: The Complete Curriculum Bundle (Units 1 – 12) Statistics: Semester 1 Curriculum Bundle (Units 1 – 6) Statistics: Semester 2 Curriculum Bundle (Units 7 – 12) Goldie's Individual Units: Unit 1 – One-Variable Data Unit 2 – The Normal Distribution Unit 3 – Two-Variable Data Unit 4 – Collecting Data Unit 5 – Probability Unit 6 – Random Variables Unit 7 – Sampling Distributions Unit 8 – Confidence Intervals Unit 9 – Hypothesis Testing Unit 10 – Comparing Two Populations Unit 11 – Chi-Square Distributions Unit 12 - Inference for Regression Goldie's Individual Resources: Statistics Semester 1 Assessment Bundle Statistics Semester 2 Assessment Bundle M&M Statistics Activity Bundle Statistics: Semester 1 Final Exam and Study Guide Statistics: Semester 2 Final Exam and Study Guide ****************************************************************************** If you need extra explanations or additional guidance, I would love to help!! Contact me at goldiesmathemporium[at]gmail.com for any questions or samples. I want to provide the best possible resources to help other teachers out! You will be notified of any future updates and additions to this product and it will be free of charge. Your support is important and I thank you for allowing me to continue doing what I love to do. Note: I am not affiliated with nor endorsed by any textbook or other curriculum provider. I am a classroom teacher who creates curriculum materials to help other teachers. © Goldie’s Math Emporium, LLC This work is bound by copyright laws and editing (beyond your own classroom use), selling, redistributing, or posting all or part of these documents on the Internet is strictly prohibited. Violations are subject to the Digital Millennium Copyright Act. Show more