Instructional Video4:53
Brian McLogan

Learn how to create a box and whisker plot for a set of data

12th - Higher Ed
πŸ‘‰ Learn how to find the mean, the median, and the mode of a set of data. The (arithmetic) mean of a set of data is the average of the set of data and is obtained by adding up the numbers in the set of data and dividing it by the count of...
Instructional Video4:10
Brian McLogan

Find the rate of Change given a table

12th - Higher Ed
πŸ‘‰ Learn how to find the rate of change from a table of values. The rate of change of a set of data listed in a table of values is the rate with which the y-values are changing with respect to the x-values. To find the rate of change from...
Instructional Video2:27
Curated Video

Identifying Variables and their Relationship in Real-World Scenarios

K - 5th
In this video, students learn how to convert a real-world situation into variables and understand their relationship. They are introduced to the concept of variables as symbols representing unknown numbers. Through a practical example of...
Instructional Video3:17
The Business Professor

How Inventory Method Affects Financial Statements

Higher Ed
How Inventory Method Affects Financial Statements
Instructional Video3:58
Coach Dan Blewett

Proper Arm Angle For Pitchers

K - 5th
What’s the proper arm angle for pitchers? What factors go into why different pitchers throw from different arm slots? In this video I discuss how arm angle can be genetic but also heavily influenced by pitching mechanics and the pitches...
Instructional Video3:21
The Business Professor

Understanding Delegation of Contracts and Limitations

Higher Ed
This video provides valuable insights into the intricacies of contract delegation. The video discusses the conditions under which delegation is valid and the limitations to delegation, particularly when the contract relies on the unique...
Instructional Video1:40
Curated Video

Statistics for Data Science and Business Analysis - A1. Linearity

Higher Ed
In this video, the first assumption of OLS, linearity, is explained. This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains OLS...
Instructional Video13:47
Catalyst University

Independent t-Test and F-Test: Theory and Excel Calculation

Higher Ed
Independent t-Test and F-Test: Theory and Excel Calculation
Instructional Video10:15
KnowMo

Dependent Events and Probability Problems

12th - Higher Ed
This video is a lecture on dependent events and probability problems associated with them. The speaker explains what a dependent event is and introduces the term "conditional probability." The video uses examples, such as drawing balls...
Instructional Video7:34
Curated Video

Exploring Exponential Growth: Determining Population

K - 5th
In this video, students will learn how to determine population growth using an exponential model. The teacher explains the concepts of exponents and bases, as well as the difference between independent and dependent variables. Through...
Instructional Video2:22
Tarver Academy

Independant and Dependant Variables

12th - Higher Ed
In This Episode, Tyler Teaches Us About Independant and Dependant Variables
Instructional Video6:57
Ti & Me TV

Does Flexibility Matter In Dance?- Advice For Dancers

K - 5th
The topic of the decade ;) But, seriously. I give my advice and dance tips on flexibility and whether it's important when you are a dancer, or not. I hope you find some dance inspiration in this little vlog and learn a bit about...
Instructional Video5:45
Science360

Human Water Cycle - Water, Food, & Energy

12th - Higher Ed
Water. It's an essential building block of life, constantly moving in a hydrologic cycle that flows in a continuous loop above, across and even below the Earth's surface. But water is also constantly moving through another cycle -- the...
Instructional Video3:37
Curated Video

Writing Equations for Proportional Relationships: Distance and Time

K - 5th
This video explains how to write an equation that represents the proportional relationship between distance and time. Review how to find the unit rate by dividing the total distance by the total time. The teacher also clarifies that when...
Instructional Video4:54
Curated Video

Understanding Independence and Association in Statistics

K - 5th
In this video, the teacher explains the concept of independence and association between events in statistics. Using relatable examples such as sibling dynamics and driver's education, the teacher clarifies the difference between events...
Instructional Video3:36
Curated Video

Identify Variables and Their Relationship in a Graph

K - 5th
In this lesson, students will learn how to read a graph and identify the variables and their relationship. They will understand that the independent variable, represented by X, is what is changing, while the dependent variable,...
Instructional Video26:08
msvgo

Conditional Probability

K - 12th
It introduces the concept of conditional probability. Further it elaborates the concept and explains it with the help of examples.
Instructional Video12:58
JJ Medicine

Introduction to Clinical Lab Values: Blood Cells and Electrolytes

Higher Ed
In this video, you will be introduced to clinical laboratory values including references ranges, normal values, patient factors influencing lab values, blood panel values and serum electrolyte levels. You will also learn about the...
Instructional Video3:53
Curated Video

Correlation vs. Causation: Understanding Reverse Causation

K - 5th
This video lesson explains the concept of correlation versus causation in statistics. It uses various examples to demonstrate that just because two variables are correlated, it does not mean that one causes the other. The video also...
Instructional Video3:17
Curated Video

Understanding Scatter Plots and Lines: Distinguishing Exact and Inexact Relationships

K - 5th
In this video, the teacher explains the difference between scatter plots and lines. They discuss how scatter plots represent inexact relationships between variables, while lines represent exact or deterministic relationships. The teacher...
Instructional Video5:21
Curated Video

Statistics for Data Science and Business Analysis - Test for the Mean; Dependent Samples

Higher Ed
In this video, the mean for two dependent samples are tested. This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains null and alternative hypothesis, and...
Instructional Video16:30
Catalyst University

Multiple Regression: Theory and Excel Calculation

Higher Ed
Multiple Regression: Theory and Excel Calculation
Instructional Video6:07
Curated Video

Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Dependent Samples

Higher Ed
This video shows real life examples of confidence intervals on dependent samples. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business Analysis".This section focuses on basic to...
Instructional Video3:00
Curated Video

Exploring the Four Seasons of the Year

Pre-K - Higher Ed
This video explains how the four seasons - winter, spring, summer, and autumn - are experienced differently depending on where we are located on Earth. It explores the unique characteristics, beauty, and dangers of each season and how...