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blondinia [14]
3 years ago
15

Please help me out with this

Mathematics
2 answers:
blondinia [14]3 years ago
7 0

thats one late assignment i wouldn't even do it tbh

anzhelika [568]3 years ago
6 0
Just ignore the assignment it’s way past due date
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Translate ABC by (4,4), rotate 90 degrees counterclockwise around A, and reflect over the y-axis.
Volgvan

Given A(-1,2) , B(-3,4) and C(-2,5) are the vertices of a triangle.

Let us find new coordinates after translating by (4,4)

New coordinates are A(-1+4,2+4), B(-3+4,4+4) and C(-2+4,5+4)

                                 = A(3,6),B(1,8) and C(2,9)

Now it is rotated counterclockwise around A(3,6). That means A remains same and we need to find new coordinates of B and C.  To find B and C let us make origin as A and find B ,C coordinates from it.

B'= (1-3,8-6) = (-2,2)

C'=(2-3,9-6)=(-1,3)

Now B' anc C' are rotated 90 degrees counter clockwise about origin. Hence (x,y) becomes (-y,x).

Hence B'(-2,2) becomes (-2,-2) and C'(-1,3) becomes (-3,-1).

Now let us move origin from (3,6) to (0,0) again.

Hence new coordinates of B are (-2+3,-2+6) = (1,4)

And new coordinates of C are (-3+3,-1+6) = (0,5)

Coordinates of triangle till translation and rotation are A(3,6) B(1,4) and C(0,5).

Now it is reflected over x-axis which means x-coordinate changes its sign.

Hence new coordinates of triangle after reflection over x-axis = A(-3,6),B(-1,4) and C(0,5)

4 0
3 years ago
Suppose a brand of light bulbs is normally​ distributed, with a mean life of 1300 hr and a standard deviation of 50 hr. Find the
tatyana61 [14]

Answer:

Step-by-step explanation:

Since the life of the brand of light bulbs is normally​ distributed, we would apply the the formula for normal distribution which is expressed as

z = (x - u)/s

Where

x = life of the brand of lightbulbs

u = mean life

s = standard deviation

From the information given,

u = 1300 hrs

s = 50 hrs

We want to find the probability that a light bulb of that brand lasts between 1225 hr and 1365 hr. It is expressed as

P(1225 ≤ x ≤ 1365)

For x = 1225,

z = (1225 - 1300)/50 = - 1.5

Looking at the normal distribution table, the probability corresponding to the z score is

0.06681

For x = 1365,

z = (1365 - 1300)/50 = 1.3

Looking at the normal distribution table, the probability corresponding to the z score is

0.9032

Therefore

P(1225 ≤ x ≤ 1365) = 0.9032 - 0.06681 = 0.8364

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true

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