On R2, consider the function f(x, y) = ( .5y,
.5sinx). Show that f is a strict contraction on R2. Is
the Banach contraction principle applicable here? If so, how many
fixed points are there? Can you guess the fixed point?
Please explain the Significance F and the p-value of this
multiple regression.
Variable 1: Quantity of new domestic car sales
Variable 2: Federal funds rate
Outcome: Demand for money
Regression Statistics
Multiple R
0.978788301
R
Square
0.958026537
Adjusted R Square
0.957895165
Standard Error
107.4145035
Observations
642
ANOVA
df
SS
MS
F
Significance F
Regression
2
168278816.1
84139408.05
7292.452378
0
Residual
639
7372702.481
11537.87556
Total
641
175651518.6
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%...
1, I know that if the p-value is bigger than the significance
level, we can reject the null hypothesis, right?
2, What is the difference between p-value and t value?
I have this MIPS code and I need to find:
add f,g,h
add f,f,i
sub f,f,j
a. How many bits does it take to encode ?
b. How many bits needed in register file to store the data?
Let f: A → B be a function, and let {Bi: i ∈ I} be a partition
of B. Prove that {f−1(Bi): i ∈ I} is a partition of A. If
~I is the equivalence relation corresponding to the
partition of B, describe the equivalence relation corresponding to
the partition of A. [REMARK: For any C ⊆ B, f−1C) = {x ∈ A: f(x) ∈
C}.]
p-value and e-value are used to assess the significance of the
alignment. Can you think of additional ways of evaluating the
strength of the alignment other than bit Score?
The p-value was slightly above conventional threshold, but was
described as “rapidly approaching significance” (i.e., p =.06). An
independent samples t test was used to determine whether student
satisfaction levels in a quantitative reasoning course differed
between the traditional classroom and on-line environments. The
samples consisted of students in four face-to-face classes at a
traditional state university (n = 65) and four online classes
offered at the same university (n = 69). Students reported their
level of satisfaction on a...
Suppose I estimate the following demand function for a tv:
Q = 400 - 3P + 4T + .6A
Where:
Q = quantity demanded in units
P = price in dollars
T = tastes and preferences
A = Advertising expenditures in dollars
We are currently operating at the following values:
A = 10,000
T = 8000
P = 2800
In addition, suppose MC is 2800
Given all this, please answer the following questions:
A. Derive the firm's current demand curve and...
A probability density function on R is a function f :R -> R
satisfying (i) f(x)≥0 or all x e R and (ii) \int_(-\infty )^(\infty
) f(x)dx = 1. For which value(s) of k e R is the function
f(x)= e^(-x^(2))\root(3)(k^(5)) a probability density function?
Explain.