Find the lagrange polynomials that approximate f(x) =
x3
a ) Find the linear interpolation polynomial P1(x)
using the nodes x0= -1 and x1 = 0
b) Find the quadratic interpolation polynomial
P2(x) using the nodes
x0= -1 and x1 = 0 and x2 = 1
c) Find the cubic interpolation polynomial P3(x)
using the nodes x0= -1 and x1 = 0 and
x2 = 1 and x3=2
d) Find the linear interpolation polynomial P1(x)
using the nodes x0= 1...
find Lagrange polynomials that approximate f(x)=x^3,
a) find the linear interpolation p1(x) using the nodes X0=-1 and
X1=0
b) find the quadratic interpolation polynomial p2(x) using the
nodes x0=-1,x1=0, x2=1
c) find the cubic interpolation polynomials p3(x) using the
nodes x0=-1, x1=0 , x2=1 and x3=2.
d) find the linear interpolation polynomial p1(x) using the
nodes x0=1 and x1=2
e) find the quadratic interpolation polynomial p2(x) using the
nodes x0=0 ,x1=1 and x2=2
Given that f "= - 12 (x-2) ^ 2 + 4, estimate the error obtained
by approximating the integral of f (x) on the interval [1.5,2.5]
with n = 4, using trapezoids.
Find the domain of the vector function r(t)=
<sent,lnt,1/(x-2).
find the equation of the plane that passes through the point
(-1,3, -8) and is parallel to the plane 3x-4y-6y = 9
find the equation of the line parallel to the plane 2x + y + z =
8...
The following code has some syntax error. Please fixed the
error. Besides, I want the output in ASCII characters. Please give
me the corrected code along with the screenshot of the output.
def cbc_dec(ys):
int xs = []
int iv = ("0XAA", 16) #in decimal
int key = ("0X08", 16)
int x0 = chr(((163 * (int (ys[0], 16) - key)) % 256) ^ iv)
xs.append(x0)
for i in range (1, len(ys)):
int xi = chr((( 163 * (int (ys[i], 16)...
How do I find the margin of error with a 98% confidence interval
estimate of the population mean sales price and population mean
number of days to sell for Domestic cars?
For Domestic Cars
Statistics
List Price
Sale Price
Days to Sell
N
Valid
200
200
200
Missing
0
0
0
Mean
32.1615
29.7430
32.9050
Median
29.5500
27.5500
31.0000
Std. Deviation
18.31094
18.25088
17.86735
Range
75.00
74.60
69.00
If you estimate the beta OLS for stock i is 1.5, the standard
error is 0.3. To test the two null hypothesis:β=3.5,β=-1,can you
reject these two null hypotheses at 10% significance level with the
tcritical = 2.96?
A.
β=3.5 cannot be rejected,β=-1 can be rejected
B.
β=3.5 can be rejected,β=-1 cannot be rejected
C.
β=3.5 can be rejected,β=-1 can be rejected
D.
β=3.5 cannot be rejected,β=-1 cannot be rejected
If you estimate the beta OLS for stock i is 1.5, the standard
error is 0.3. To test the two null hypothesis:β=3.5,β=-1,can you
reject these two null hypotheses at 10% significance level with the
tcritical = 2.96?
A.
β=3.5 cannot be rejected,β=-1 can be rejected
B.
β=3.5 can be rejected,β=-1 cannot be rejected
C.
β=3.5 can be rejected,β=-1 can be rejected
D.
β=3.5 cannot be rejected,β=-1 cannot be rejected
USE R software
Suppose that we want to test H0 : F
= G, where F is the distribution of weight for
the casein feed group and G is the distribution of weight
for the sunflower feed group of the chickwts data. A test can be
based on the two-sample Kolmogorov-Smirnov statistic
chickwts
weight feed
1 179 horsebean
2 160 horsebean
3 136 horsebean
4 227 horsebean
5 217 horsebean
6 168 horsebean
7 108 horsebean
8 124 horsebean
9...
Show that as the number of bootstrap samples B gets large, the
oob error estimate for a random forest approaches its N-fold CV
error estimate, and that in the limit, the identity is exact.