Answer:
a.No
b.No
c.No
Step-by-step explanation:
a.No,Such set does not exist .A set of natural numbers is N
Every point of this set is an isolated point but no accumulation point
Accumulation point:It is defined as that point a of set Swhich every neighborhood contains infinitely many distinct point of set

Isolated point : it is defined as that point a of set S which neighborhood does not contain any other point of set except itself

Interior point of set :Let
.Then a is called interior point of set when its neighborhood is a subset of set S.

When a set is uncountable then interior point exist it is necessary for interior points existance .
Boundary points :Let
.If every non empty neighborhood of a intersect S and complement of S.
Every member of a set is a boundary point
b.No, such set does not exist .A non empty set with isolated point then the set have no interior points .By definition of interior point and isolated point .For example.set of natural numbers
c.No, Such set does not exist ,for example set of natural every point is an isolated point and boundary point.By definition of boundary point and isolated point
Answer:
y=-3x+6
Step-by-step explanation:
that equation gives the answer for all the 'y'
Answer: 

Step-by-step explanation:
Let's factor then solve to find the complex solutions.
Rearrange the equation by subtracting what is to the right of the equal sign from both sides of the equation : 
Equations that are never true:

This equation has no solution.
A non-zero constant never equals zero.
<u><em>Therefore your answer is </em></u>
Answer:
Therefore the variance on the data set is 8.3
Step-by-step explanation:
In order to find the variance of the set of data we first need to calculate the mean of the set, which is given by:
mean = sum of each element / number of elements
mean = (5 + 8 + 2 + 9 + 4)/5 = 5.6
We can now find the variance by applying the following formula:

So applying the data from the problem we have:
s² = [(5 - 5.6)² + (8 - 5.6)² + (2 - 5.6)² + (9 - 5.6)² + (4 - 5.6)²]/(5 - 1)
s² = [(-0.6)² + (2.4)² + (-3.6)² + (3.4)² + (-1.6)²]/4
s² = [0.36 + 5.76 + 12.96 + 11.56 + 2.56]/4 = 8.3
Therefore the variance on the data set is 8.3
Answer:
12
Step-by-step explanation:
6*2=12