Evaluate a COVID-19 Vaccine with Probability & Expected Value

Distance Learning: Evaluate a COVID-19 Vaccine Trial with Probability, Expected Value, and Real-World Data (Common Core)

This digital activity created for GoogleTM Slides involves using real data from a COVID-19 vaccine trial. Students will first create random variables using vaccine trial summary statistics. Next, they will create probability distributions from empirical probability and compute and interpret expected values of the random variables.

COVID-19 has directly affected students’ lives and presents a timely unteachable moment. In addition to practicing probability and expected value concepts, students will learn vaccine trial concepts and become familiar with one of the key vaccine studies that allowed COVID-19 vaccines to be widely available.

This activity can be assigned for independent work, digital collaborative work, or for virtual “in class” learning. The activity can also be downloaded and printed in order to bridge the digital divide.

This resource includes some editable features and is easy to share with your students via email, secure course website, or Google™ Classroom. Note that the actual activity pages are uneditable images; however, editable areas are provided for student responses. Extension or warm-up questions can be added for differentiation. You also get a detailed answer key, or you can create your own using the editable features.

We are pleased to feature clip art from TpT:

• Viruses © Take it and Teach at https://www.teacherspayteachers.com/Store/Take-It-And-Teach

This product includes:

1) A *.PDF with detailed instructions and a link to the resource

2) A *.PDF answer key

Objectives:

1) Practice defining a random variable for a quantity of interest.
2) Practice calculating expected value of a random variable.

3) Practice creating a probability distribution for a random variable for a sample space where probabilities are defined empirically.


Common Core Standards:

HSS.MD.A.1: Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions

HSS.MD.A.2: Calculate the expected value of a random variable; interpret it as the mean of the probability distribution

HSS.MD.A.4: Develop a probability distribution for a random variable defined for a sample space in which probabilities are assigned empirically; find the expected value.



About this product:

The materials in this product have been compressed into a *.zip file. Software to unzip the file is necessary to use these materials. The materials are unzipped into two separate files. Software for reading PDF(*.pdf) documents is needed to use the files.

This purchase is to be used by one teacher only for classroom use. These materials may not be shared without purchasing the appropriate number of licenses. These materials may not be redistributed or posted to the internet in any form except for secure classroom websites for classroom use only.

Want resources on related topics? Check these out!:
Distance Learning: Investigate COVID-19 using Statistics with Real-World Data
Distance Learning: Investigate a COVID-19 Correlate using Linear Models with Real-World Data
Distance Learning: Evaluate a COVID-19 Test using Probability with Real-World Data
Distance Learning: Evaluate a COVID-19 Drug Study with Statistics and Real-World Data
Distance Learning: Investigate COVID-19 Disparities using Probability with Real-World Data

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Disclaimers:

The National Governors Association Center for Best Practices and Council of Chief State School Officers are the sole owners and developers of the Common Core State Standards. © Copyright 2010. National Governors Association Center for Best Practices and Council of Chief State School Officers. All rights reserved.

This product is the work of Statistics Education Resources. Claims of alignment with the Common Core State Standards are the personal opinion of Statistics Education Resources and do not necessarily reflect the official views of the National Governors Association Center for Best Practices and Council of Chief State School Officers. No association with or endorsement by the National Governors Association Center for Best Practices and Council of Chief State School Officers is intended or implied.