What is a 33333333...2222
1 answer:
You might be interested in
Definition 1: Perfect squares are numbers or expressions that are the product of a
number or expression multiplied to itself (7 times 7 is 49, so 49 is a
perfect square).
Definition 2: <span>Binomials are algrebraic expressions containing only two terms.</span><span />
<span>
</span><span>Definition 3: Trinomials are algebraic expressions that contain three terms. </span><span />
Perfect square trinomials are algebraic expressions with three terms that are created by multiplying a binomial to itself. There are two formulas for perfect square trinomials:
.
From these formulas you can see that:
A. <span>"Neither of the perfect squares can have a minus sign" is true statement;
</span>
B. "<span>The first and third terms must be perfect squares" is true statement;
</span>
C. "<span>If the perfect square terms are
and 
then the other term must be 
" is false statement;
</span>
D. "<span>None of the above is a property of a perfect square trinomial" is consequently false statement.
</span>
Definition 2: <span>Binomials are algrebraic expressions containing only two terms.</span><span />
<span>
</span><span>Definition 3: Trinomials are algebraic expressions that contain three terms. </span><span />
Perfect square trinomials are algebraic expressions with three terms that are created by multiplying a binomial to itself. There are two formulas for perfect square trinomials:
From these formulas you can see that:
A. <span>"Neither of the perfect squares can have a minus sign" is true statement;
</span>
B. "<span>The first and third terms must be perfect squares" is true statement;
</span>
C. "<span>If the perfect square terms are
</span>
D. "<span>None of the above is a property of a perfect square trinomial" is consequently false statement.
</span>
Answer:
0.5466
Step-by-step explanation:
Given that the length of human pregnancies from conception to birth varies according to a distribution that is approximately Normal with mean 266 days and standard deviation 16 days.
Let X be the length of pregnancies
X is N(266,16)
To find out the probability that pregnancies last between 240 and 270 days (roughly between 8 months and 9 months)
P(240<x<270)
convert each into Z score as
x=240 means Z = -1.625
x=270 means z=0.25
Required prob
=