I love tables.
No, this essay does not belong to a fervent furniture fanatic, but rather one enamored with the tools of the mathematics and statistics discipline.
Let me elucidate.
I love statistical tables, the ineffable charts that map out distributions of every thinkable variable. These numerical distributions provide the basis of life: they are how we measure success rates, how we create clarity and cohesiveness, and how we fathom the unfathomable of the world. Furthermore, I love the beauty of mathematics, its omnipresence in our natural world, and its infallible nature of applicability.
Hence, within the vast multifariousness of the mathematics field, the statistics discipline strikes me as the most versatile, yet intriguing due to the mechanisms by which the field takes algorithmic formulas and theoretical concepts, and transmogrifies them into solutions for real-world challenges. As a Statistical Science major at Cornell University, (and prospective Mathematics minor) I have personally encountered statistics within a multitude of spheres.
For instance, set sights upon the immense field of biology, where I have tested population hypotheses of medicinal agents to investigate possible statistically significant differences in success rates of different medications, using no other but a type of aforementioned table, specifically a Chi-squared distribution. The purest aspect of mathematics, counting numbers, comprise these distributions and allow for perfect interpretations of imperfect patterns. Spin a wheel and land instead on the computer science field, where one can test whether a program created to generate random digits is, in fact, generating random digits, a process I have undergone multitudinous times while debugging my code, armed with the Wald-Wolfowitz statistical runs procedure and its corresponding table. Circle back to knock on the neighbor of biology's door, psychology, and the answers to some of life's most inscrutable enigmas unravel, such as whether one's income level and life satisfaction are correlated. In fact, to provide myself with first-hand experience of statistical research beyond a classroom setting, I have conducted a year-long correlational study in the past year upon the aforementioned variables, and hope to have my study published in a junior research journal at my university the end of this current academic year.
In addition to this specification, I also holster a love for mathematics in its purest form, and finding it hidden in multitudinous locations within the environment. Indeed, the world around us is also comprised of mathematics, in its purest form.
Take a gander at the northmost point of the globe, where fractals compose the snowflakes that conjoin in thunderous blizzards blanketing the Arctic. Or instead, venture searingly south to the equator, and admire the perfect patterns seashells adorn, or the formulated crescendo and diminuendo the waves perform. Fractals are unearthed not only in the icy tundra, but can be spotted within the fronds of a leafy fern, or moreover still in the simplest structure of crystalline copper. Another of my favorite patterns, the Fibonacci sequence, can be seen with just one foot out the door. From massive spiral galaxies to humble pinecones, this principle governs innumerable aspects of our universe.
But what use do these reliable repetitions serve us, in a larger world-sense? With our natural world being structured upon the basis of formulaic sequences and series, we are able to uncover more meaning and benefits than we ever could if left to chance. These patterns form the basis of more concrete forms of mathematics we know today as algebra, calculus, geometry, and more. Using these principles of each derived field, we can build, as humans have been building for centuries, upon our knowledge of botany, architecture, physics, art, and countless other subjects.