Real World Math Blog

This blog is a compilation of articles explaining how math is applied in real-life situations.

Tailored for middle and high school students, it offers numerous examples illustrating how mathematical concepts learned in school are put to use by real people in real jobs.

Covering topics from negative numbers to mathematical functions, this blog aligns with school curricula to make math more relevant and engaging for all students!

Find the Missing Side: A Real-life Example (from Robotics)

Discovering the length of a missing side in a right triangle goes beyond textbook exercises; it's a practical skill with applications in real life. This blog explores a specific example from the world of robotics.

Simpson’s Paradox: A Real-Life Example (from Marketing)

When people say, "Lies, damned lies, and statistics," they mean that the persuasive power of numbers can lead to misguided decisions when statistics are carelessly interpreted. This article explains and illustrates Simpson's paradox, a statistical trick that can be misleading.

The 3-4-5 Triangle: A Real-Life Example (from Mechatronics)

The 3-4-5 triangle, a famous Pythagorean triple, finds use in construction, DIY projects, and even in Internet technologies. This article explores another example of the 3-4-5 triangle's application – in medical mechatronics.

Parabola Equation: A Real-Life Example (from Public Health)

Parabola equations find application in various real-life scenarios, including space, military, and manufacturing. This article illustrates how they are utilized in the analysis of health-related information.

CosX: A Real-Life Example (from Petroleum Engineering)

Where do people use cosines and sines? This article demonstrates a real-life example of how knowledge about calculating the value of cosx is beneficial in the oil and gas industry.

Theoretical Probability: A Real-Life Example (from Digital Design)

Calculating theoretical probability is a common practice in the design of digital products, like apps and websites. This blog post showcases a specific example of how music streaming websites utilize theoretical probability to recommend songs to their listeners.