
 Resource ID: PM1L1
 Grade Range: 9–12
 Subject: Science
Types of Motion
Students will distinguish between and/or interpret the types of motion.

 Resource ID: PM4L5
 Grade Range: 9–12
 Subject: Science
Wave Behavior: Doppler Effect
Given diagrams, scenarios, or illustrations, students will identify the characteristics of the Doppler effect.

 Resource ID: PM4L8
 Grade Range: 9–12
 Subject: Science
Waves: Practical Applications
Given diagrams, scenarios, illustrations, or descriptions, students will identify uses of waves in medical and industrial applications.

 Resource ID: R4SCI0034
 Grade Range: 8–12
 Subject: Science
Newton's Law of Inertia
This resource provides instructional resources for Newton's First Law, the law of inertia.

 Resource ID: R4SCI0036
 Grade Range: 8–12
 Subject: Science
Newton's Law of ActionReaction
This resource is to support TEKS (8)(6)(C), specifically the Newton's third law or the law of actionreaction.

 Resource ID: PM2L4
 Grade Range: 9–12
 Subject: Science
Electric and Magnetic Forces
Given diagrams, illustrations, or descriptions, students will identify examples of electric and magnetic forces.

 Resource ID: PM2L10
 Grade Range: 9–12
 Subject: Science
Electromagnetic Forces
Given schematic diagrams, illustrations or descriptions, students will identify the relationship of electric and magnetic fields in applications such as generators, motors, and transformers.

 Resource ID: PM4L1
 Grade Range: 8–12
 Subject: Science
Waves—Properties
Given diagrams, descriptions or illustrations, students will determine the properties of wave motion and wave propagation as they pass through different media.

 Resource ID: R4SCI0068
 Grade Range: 9–12
 Subject: Science
Projectile Motion
This resource provides alternative or additional tierone learning options for students learning about projectile motion—Physics TEKS (4)(C).

 Resource ID: SE131001
 Grade Range: 9–12
 Subject: Math
8.01 Introduction to Confidence Intervals
In this video, students will be introduced to the construction and interpretation of confidence intervals.

 Resource ID: SE131002
 Grade Range: 9–12
 Subject: Math
8.02 Confidence Interval for One Mean
In this video, students will learn to construct a confidence interval for a population mean.

 Resource ID: SE131003
 Grade Range: 9–12
 Subject: Math
8.03 Visualizing a Confidence Interval
In this video, students will learn to visualize the construction of a confidence interval.

 Resource ID: SE131004
 Grade Range: 9–12
 Subject: Math
8.04 Interpreting Confidence Intervals
In this video, students will learn to interpret a confidence interval.

 Resource ID: SE131005
 Grade Range: 9–12
 Subject: Math
8.05 Confidence Interval for One Proportion
In this video, students will learn to construct and interpret a confidence interval for one proportion.

 Resource ID: SE131006
 Grade Range: 9–12
 Subject: Math
8.06 Factors Affecting the Width of a Confidence Interval
In this video, students will explore how the components of a confidence interval affect its width.

 Resource ID: SE131007
 Grade Range: 9–12
 Subject: Math
8.07 Confidence Intervals in the Real World
In this video, students will analyze confidence intervals in the real world.

 Resource ID: SE131036
 Grade Range: 9–12
 Subject: Math
7.01 Variability in Sample Proportions, Part 1
In this video, students describe and model variability using a binary population distribution and the sampling distribution of a sample proportion.

 Resource ID: SE131037
 Grade Range: 9–12
 Subject: Math
7.02 Variability in Sample Proportions, Part 2
In this video, students learn to describe and model variability using a binary population distribution, and the sampling distribution of a sample proportion.

 Resource ID: SE131038
 Grade Range: 9–12
 Subject: Math
7.03 Variability in Sample Means
In this video, students describe and model variability using a continuous population distribution, and the sampling distribution of a sample mean.

 Resource ID: SE131039
 Grade Range: 9–12
 Subject: Math
7.04 Using the Central Limit Theorem
In this video, students use the central limit theorem to describe variability using a sample mean.