Answer:
No
It could be purely due to chance.
Step-by-step explanation:
A population is defined as the whole group which has the same characteristics. For example a population of the college belongs to the same college . But a sample may be an element of a population.
So it is not necessary for a population to have the same characteristics as the sample.
But it is essential for the sample to have at least one same characteristics as the population.
So we would not be correct in inferring that such a relationship also exists in the population.
It is a hypothesis which can be true or false due to certain conditions or limitations as the case maybe.
For example in a population of smokers some may be in the habit of taking cocaine. But a sample of cocaine users does not mean the whole population uses it.
It could be purely due to chance if we find out that there is a relationship between parents’ and children’s party identification in the population.
2x+4x-4=2+4x
2x+4x-4x=2+4
2x=6
x=3
25-x=15-3x-10
3x-x= 15-10-25
2x= -20
x= -10
4x=2x+2x+5x-5x
2x+2x+5x-5x-4x
0 . no solution
A. The percent of cherries that are produced in the state is calculated by dividing the number of cherries produced in the state by the total number of cherries and multiplying the quotient by 100%.
r = (74 / 100) x 100% = 74%
B. The percent of cherries not produced in the state is equal to difference of the 100 and the answer in letter A. This is shown below.
s = 100% - 74%
s = 26%.
Answer:
a.

b-Check illustration below
c.(-0.0517,0.0177
Step-by-step explanation:
a.let
denote processes 1 & 2.
For
: T1=10,n1=200
For
:T2=20,n2=300
Therefore

b. To test for hypothesis:-
i.

ii.For a two sample Proportion test

iii. for
(0.5 alpha IS 0.025),
reject
if
iv. Do not reject
. The noncomforting proportions are not significantly different as calculated below:

z=-0.78
c.
for the p1-p2 is given as:

=(-0.0517,+0.0177)
*CI contains o, which implies that proportions are NOT significantly different.