1. during a collision, the person not wearing a seatbelt is already in motion. there is no outside force (the seatbelt) to stop this motion.
2. Kinetic Energy = 0.5 * m * v^2 because velocity is a squared term, doubling the velocity actually quadruples the kinetic energy, making the stopping distance much much greater
3. by the same logic as above, mass is not a squared term, therefore doubling the mass will double the kinetic energy, increasing the stopping distance -- but by not as much as increasing the velocity.
4. because a driver cannot alter the mass of his vehicle, the best way to enter sharp curves would be decreasing velocity (speed)
5. there are many factors that determine the degree of damage (to humans and property in a crash), most notably the size of the vehicle(s) and velocity.
Answer:
So it is Hyper Text Transfer Protocol.
Hope it helps
Answer:
import numpy as np
import matplotlib.pyplot as plt
def calculate_pi(x,y):
points_in_circle=0
for i in range(len(x)):
if np.sqrt(x[i]**2+y[i]**2)<=1:
points_in_circle+=1
pi_value=4*points_in_circle/len(x)
return pi_value
length=np.power(10,6)
x=np.random.rand(length)
y=np.random.rand(length)
pi=np.zeros(7)
sample_size=np.zeros(7)
for i in range(len(pi)):
xs=x[:np.power(10,i)]
ys=y[:np.power(10,i)]
sample_size[i]=len(xs)
pi_value=calculate_pi(xs,ys)
pi[i]=pi_value
print("The value of pi at different sample size is")
print(pi)
plt.plot(sample_size,np.abs(pi-np.pi))
plt.xscale('log')
plt.yscale('log')
plt.xlabel('sample size')
plt.ylabel('absolute error')
plt.title('Error Vs Sample Size')
plt.show()
Explanation:
The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.
I've included my code in the picture below. Best of luck.
