Answer:
see below
Explanation:
There are many ways of writing a verbal expression for the given algebraic expression.
Some examples are:
a number c plus twice a number da number c added to twice a number dc added to the product of 2 and d the product of 2 and d increased by c twice a number d increased by cthe sum of c and twice d
Time for fractions!!!
I’m going to set a rate of miles per gallon and then cross multiply to get me answer.
41miles/gallon = 617.3/xgallons
617.3 multiplied by 1 and then divided by 41 = about 15.05 gallons
A reasonable estimate then is 15 and a half gallons, because rather than measuring down to the hundredths, the next closest and reasonable measurement is 15 and a half or under.
Comment if you don’t understand and I’ll try to help.
Product of a number and four is 4x
<span>12 more than that is 12+4x </span>
<span>fewer than 60 </span>
<span>12 + 4x < 60</span>
Answer:
If the bisectors of two adjacent angles are perpendicular to each other, are the angles then supplementary angles?
Suppose two angles ABC and CBD are x and y.
x+y = 180 deg.
The bisector of angle ABC (BE) and the bisector of angle CBD (CF) will form angle EBF = (x/2)+(y/2) = 180/2 = 90 deg.
Conclusion: If the angle bisectors of two adjacent angles are perpendicular to eaxh other, the adjacent angles are supplementary angle
Adjacent angles are when the 2 angles have a common vertex and a common arm.
if the exterior sides of 2 adjacent angles are perpendicular, then the angles are complementary angles.
Then the sum of the 2 adjacent angles is a right angle - 90°.
When 2 angles add up to 90°, they are called a pair of complementary angles.
Step-by-step explanation:
Answer:
And we can find this probability using the z table and we got:
Step-by-step explanation:
Let X the random variable that represent the thickness of a population, and for this case we know the distribution for X is given by:
Where
and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the z table and we got: