Constructing Tables in Math and Science: Analyze and Present Experimental Data
Ages 13-18
Self-Paced Class
This lesson teaches students how to create scientific data tables, including reviewing scientific variables, important data presentation conventions, spotting anomalies, and calculating the mean (average).
1-2 hours per week. Learners are given a five-page printable workbook, including a summary of key ideas, worked example, and practice exercises. Learners may submit their workbook answers and / or a table of their own experimental data for feedback.
Assignments
Learners will complete a self-marking multiple-choice quiz reviewing the key ideas from this class and applying them to real-life experiments. This quiz provides a score and detailed breakdown per question upon completion.
Class Experience
US Grade 8 - 11
Beginner Level
This class is intended to teach aspiring young scientists and data analysts how to present experimental data in scientific tables - an essential skill for middle or high school classes on graphing skills, data analysis, or experimental science.
Learners will watch a video (27 mins), which covers:
- A brief review of scientific variables (independent, dependent, and control variables).
- How to structure a scientific data table.
- Important conventions, e.g. where to write units, levels of accuracy in data, etc.
- Identifying anomalies in data, and how to deal with anomalous results.
- How to calculate the mean (average) and present it in a data table.
Throughout the video tutorial, students are prompted to practice, using worked examples from real-life experiments to spot mistakes and construct tables correctly.
To accompany this, they will also receive detailed notes, complete a worksheet (answer sheet also provided), and do a summary quiz. In total, the learning time is anticipated to be around 1.5 hours.
My teaching style is very structured and methodical, with everything broken down step-by-step with multiple examples to help learners follow along. This class is short and focused, to maximise learning within a bite-sized timeframe.
As this is a self-paced class, please be aware that there is no face-to-face interaction. However, learners will instead receive automated assessment in the quiz and send me a picture of their completed worksheet for personal feedback.
Learning Goals
Draw data tables correctly according to scientific convention.
State where to position the independent variable, dependent variable, and units in a data table.
Syllabus
Curriculum
Follows Teacher-Created Curriculum
Standards
Aligned with Next Generation Science Standards (NGSS)
1 Lesson
over 1 Week
Lesson 1:
Scientific Data Tables
This class introduces scientific data tables, including many examples from real-life experiments. We will learn how to present data in a table (according to scientific convention), calculate the mean (average), and identify anomalies. After watching the video (27 mins) and completing a quiz, you will then put this into practice with the detailed step-by-step worksheet and / or your own experimental data.
1 assignment
Other Details
Pre-Requisites
Students should ideally have an understanding of scientific variables (independent / dependent / control). These are briefly reviewed at the start of this class, but if you would like a more thorough introduction please see my other class.
Supply List
A five-page PDF (combining summary notes and worksheet questions) is provided, which learners can print out to complete.
External Resources
In addition to the Outschool classroom, this class uses:
Non-US Teaching Certificate in English to Speakers of Other Languages
Non-US Teaching Certificate in Science
2 Degrees
Masterās Degree in Chemistry from University of Southampton
Bachelorās Degree in Science from University of Cambridge
I am a qualified science teacher from the UK (PGCE + QTS) and have taught both maths and science to students in the UK and internationally - including leading student research programs and data analysis classes.
Reviews
Are you planning to use state funding, such as an Education Savings Account (ESA), Micro-grant or scholarship to help pay for your learnerās education?