The cosine rule is used when we are given either a) three sides or b) two sides and the included angle.The sine rule. Study the triangle ABC shown below. Let
Sine and cosine live on the unit circle (radius 1). The other functions use a radius of secant (tan/sec) or cosecant (cot/csc). Q3: What's the swapped function? We make a mini-triangle by shrinking the original triangle down, and rotating so $dx$ matches the side of length $1$....
How does mitosis work? How do you graph a piecewise function? How do you find the measurement of the angles in a polygon? How do you put tan5=b/2 in a calculator? How can one determine if an ordered pair is a solution to an equation?
How exactly does Newton's First Law of Motion work? Use all three of Newton's laws to explain the motion A) on the scooter and B) while your run/walk. What is the formula for Kepler's Third Law and how does it work? How do the 3 laws of moition and law of gravitation r...
2022), or instead the process of recombination of established scientific ideas into novel discoveries that solves complex problems and unify pre-existing paradigms (Davies et al.,2018; Bloom et al.,2020; Lane et al.,2022; Teplitskiy et al.,2022), which does not necessarily require ...
a) The direction the plane must head to fly north. b) Its speed relative to the ground. Homework Equations Sine Rule: a/SinA=b/SinB=c/SinC Cosine Rule: a2=b2+c2-2acCosA The Attempt at a Solution I attached a photo because I didn't know how to do maths on here. The answer I ...
We study how single- and double-slit interference patterns fall in the presence of gravity. First, we demonstrate that universality of free fall still holds in this case, i.e., interference patterns fall just like classical objects. Next, we explore lowe
How does Agglomerative Hierarchical Clustering work Let’s take a sample of data and learn how the agglomerative hierarchical clustering work step by step. Step 1 First, make each data point a “single - cluster,” which forms N clusters. (let’s assume there are N numbers of clusters). ...
Log transformation does not“normalize” your data; it’s purpose is to reduce skew.In the image above [4], it’s practically impossible to see any pattern in the above image. However, in the second image, the data has had a log transformation. Consequently, the pattern becomes apparent....
Question: How to compute/create a tangent portfolio? Answer and Explanation: A tangent portfolio is one that that obtains the highest possible sharp ratio, which gives it the best relative performance in terms of risk. The way... Learn more about this topic: ...