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Newton's Three Laws of Motion
This resource provides alternate or additional learning opportunities for students learning the three Newton's Laws of Motion. It includes a collection of interactive materilas, videos, and other digital media. Physics TEKS, (4)(D)
Newton's Law of Inertia
This resource provides instructional resources for Newton's First Law, the law of inertia.
Newton's Law of Action-Reaction
This resource is to support TEKS (8)(6)(C), specifically the Newton's third law or the law of action-reaction.
Given schematic diagrams, illustrations or descriptions, students will identify the relationship of electric and magnetic fields in applications such as generators, motors, and transformers.
Given diagrams, illustrations, scenarios, or relevant data, students will calculate the power of a physical system.
Kinetic and Potential Energy
Given diagrams, illustrations or relevant data, students will identify examples of kinetic and potential energy and their transformations.
Using diagrams, illustrations, and relevant data, students will calculate the net work done on an object, the change in an object's velocity, and the change in an object's kinetic energy.
6.01 Probability and the Law of Large Numbers
In this video, students are introduced to the concept of probability using the Law of Large Numbers.
6.02 Probability Terminology
In this video, students learn key terminology associated with probability.
6.03 Venn Diagrams
In this video, students represent and calculate probabilities using Venn diagrams.
6.04 Independent and Mutually Exclusive Events
In this video, students calculate probabilities for independent events and mutually exclusive events.
6.05 Contingency Tables
In this video, students calculate probabilities using a two-way contingency table.
6.06 Tree Diagrams
In this video, students calculate conditional probabilities using a tree diagram.
6.07 Discrete Random Variables
In this video, students are introduced to discrete random variables.
6.08 The Binomial Distribution
In this videos, students use the binomial distribution to find the expected value, variance, and probabilities associated with a binomial random variable.