Unit3, Section1: Testing, Testing…1, 2, 3…

Instructional Days: 7

Enduring Understandings

An experiment is a data collection method in which the effects of different treatments on an outcome of interest are measured. In an experiment, a treatment is applied to subjects and then observations about the effect of the treatment are made. To isolate the effects from unexplained variation, randomization (or chance) assignment to treatments is applied.

Engagement

Students will view Hans Rosling’s video How Not to Be Ignorant About the World and will participate in his interactive quiz in order to learn how anecdotes and personal experience can influence what we know and, alternatively, how data provides basis for evidence. The video can be found at: https://www.ted.com/talks/hans_and_ola_rosling_how_not_to_be_ignorant_about_the_world

Learning Objectives

Statistical/Mathematical:

S-IC 1: Understand statistics as a process for making inferences about population parameters based on a random sample from that population.

S-IC 3: Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.

S-IC 6: Evaluate reports based on data.

Focus Standards for Mathematical Practice for All of Unit 3:

SMP-1: Make sense of problems and persevere in solving them.

SMP-4: Model with mathematics.

SMP-8: Look for and express regularity in repeated reasoning.

Data Science:

Understand that differences between the measured outcomes of the treatment and control groups in an experiment can be tested. Understand the roles of randomization and of random sampling in statistical inference.

Applied Computational Thinking:

• Test for differences between experimental groups.

• Create graphical representations to compare data between experimental groups.

• Write code to randomly assign subjects to treatment groups

Real-World Connections:

Experiments are used to ensure safety and efficacy of medicines, reliability of electronics and structural materials and find patterns in human behavior.

Language Objectives

  1. Students will use complex sentences to construct summary statements about their understanding of data, how it is collected, how it used, and how to work with it.

  2. Students will engage in partner and whole group discussions and presentations to express their understanding of data science concepts.

  3. Students will use complex sentences to write informative short reports that use data science concepts and skills.

  4. Students will read informative texts to evaluate claims based on data.

Data File or Data Collection Method

Data Collection Method:

  1. Students will gather data generated through a simple experiment.

Data File:

  1. Students’ Time Perception experiment data.

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