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Statistics for Teaching Advanced Science: Part 5 Hypothesis Testing Using a Chi-squared Analysis
Parts 5-8 continue the Statistics for Science series to include the skills required in high school Advanced Placement (AP) and International Baccalaureate (IB) science courses. In these workshops, we will learn how and when to use each of the most common statistical tests that are used to test hypotheses. A hand-calculation will be done using […]
Developing and Using Models Part 1
In this 1.5-hour workshop, we will explore 2-dimensional modeling for use in Next Generation science and math courses. Whether it is a schematic diagram, a systems map, a simulation, a graph, or a computer algorithm, models are used pervasively throughout science to interpret, predict, and test the way individual variables interact to yield a complex […]
Student-designed Experiments: Part 2 Helping Students Write an Experimental Procedure
In this workshop, we will pick up where Part 1 of this series left off. We begin with a list of variables our students have identified as potentially impacting a particular phenomenon they have explored. Using a think-pair-share process, we will give students the structure needed to write steps for a scientific investigation using the […]
Statistics for Teaching Advanced Science: Part 6 Hypothesis Testing Using the Student’s t-test
Parts 5-8 continue the Statistics for Science series to include the skills required in high school Advanced Placement (AP) and International Baccalaureate (IB) science courses. In these workshops, we will learn how and when to use each of the most common statistical tests that are used to test hypotheses. A hand-calculation will be done using […]
Statistics for Teaching Science: Part 1 Measuring and Reporting Uncertainty
All measurements include some degree of uncertainty or error, but how it is reported is decided by the person collecting the data. Because analysis is dependent on the data collected, the method used to report error can substantially impact the strength of the claims made and conclusions drawn. In this workshop, we will explore five […]
Statistics for Teaching Science: Part 2 The Problem with Describing Data Using the Mean
Often by middle school and certainly by high school, students default to the mean as the best way to describe data without much consideration for how they might defend that choice. So, you might think, what’s the harm in that? Everyone knows what is meant by this descriptor, it is familiar and understandable, easy to […]
Developing and Using Models Part 2
In this 1.5-hour workshop, we will explore 3-dimensional modeling for use in Next Generation science and math courses. Helping prepare students for a career in science or mathematics requires a refined ability to engage in critical thinking about complex systems. Because models are analogies to define real-world processes, structures, or events, they are an efficient […]
Student-designed Experiments: Part 3 Guiding Students Through Data Analysis
Teachers will play the role of the students, collecting data in their own homes and pooling their observations and measurements in a spreadsheet shared by their lab partners. We will conduct data analysis within lab groups during the workshop to experience how this process can be performed using remote teaching and learning platforms. Peer critiques […]
Statistics for Teaching Advanced Science: Part 7 Hypothesis Testing Using Tests of Correlation
Parts 5-8 continue the Statistics for Science series to include the skills required in high school Advanced Placement (AP) and International Baccalaureate (IB) science courses. In these workshops, we will learn how and when to use each of the most common statistical tests that are used to test hypotheses. A hand-calculation will be done using […]
Statistics for Teaching Science: Part 3 Getting Comfortable with Variance, Standard Deviation, Standard Error of the Mean, and the 95% Confidence Interval
The variance, standard deviation, and standard error of the mean are excellent methods for describing data because they convey the variability of the observed data around the mean. Anyone teaching AP, IB, Pre-AP, Pre-IB, or college-bound science students will likely want to know how to calculate these values, what they indicate, and how to contextualize […]