Price-demand. A company manufactures notebook computers. Its marketing research department, using statistical techniques, collected the data shown in Table 9 , where p is the wholesale price per computer at which x thousand computers can be sold. Using special analytical techniques ( regression analysis ), an analyst produced the following price-demand function to model the data: p x = 2000 − 60 x 1 ≤ x ≤ 25 (a) Plot the data points in Table 9 , and sketch a graph of the price-demand function in the same coordinate system . (b) What would be the estimated price per computer for a demand of 11 , 000 computers? For a demand of 18 , 000 computers?
Price-demand. A company manufactures notebook computers. Its marketing research department, using statistical techniques, collected the data shown in Table 9 , where p is the wholesale price per computer at which x thousand computers can be sold. Using special analytical techniques ( regression analysis ), an analyst produced the following price-demand function to model the data: p x = 2000 − 60 x 1 ≤ x ≤ 25 (a) Plot the data points in Table 9 , and sketch a graph of the price-demand function in the same coordinate system . (b) What would be the estimated price per computer for a demand of 11 , 000 computers? For a demand of 18 , 000 computers?
Price-demand. A company manufactures notebook computers. Its marketing research department, using statistical techniques, collected the data shown in Table
9
, where
p
is the wholesale price per computer at which
x
thousand computers can be sold. Using special analytical techniques (regression analysis), an analyst produced the following price-demand function to model the data:
p
x
=
2000
−
60
x
1
≤
x
≤
25
(a) Plot the data points in Table
9
, and sketch a graph of the price-demand function in the same coordinate system.
(b) What would be the estimated price per computer for a demand of
11
,
000
computers? For a demand of
18
,
000
computers?
Definition Definition Statistical method that estimates the relationship between a dependent variable and one or more independent variables. In regression analysis, dependent variables are called outcome variables and independent variables are called predictors.
Find the exact values of sin(2u), cos(2u), and tan(2u) given
2
COS u
where д < u < π.
2
(1) Let R be a field of real numbers and X=R³, X is a vector space over R, let
M={(a,b,c)/ a,b,cE R,a+b=3-c}, show that whether M is a hyperplane of X
or not (not by definition).
متکاری
Xn-XKE
11Xn-
Xmit
(2) Show that every converge sequence in a normed space is Cauchy sequence but
the converse need not to be true.
EK
2x7
(3) Write the definition of continuous map between two normed spaces and write
with prove the equivalent statement to definition.
(4) Let be a subset of a normed space X over a field F, show that A is bounded set iff
for any sequence in A and any sequence in F converge to zero the
sequence converge to zero in F.
އ
Establish the identity.
1 + cos u
1 - cos u
1 - cos u
1 + cos u
= 4 cot u csc u
Chapter 2 Solutions
Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences (14th Edition)
A Problem Solving Approach To Mathematics For Elementary School Teachers (13th Edition)
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