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Ket [755]
3 years ago
12

Can someone help please

Mathematics
1 answer:
xxMikexx [17]3 years ago
5 0
D- It is an enlargement with a scale factor greater than 1.

From the pre-image to the image, the scale factor is 3.
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A person walks due East for 10 meters and then due North for 10 meters. What is the total distance traveled? 10 m 20 m 14 m 16 m
quester [9]

Answer:

20m

Step-by-step explanation:

Say you walk down the street for 10m. Then you take a left and walk for another 10m then go inside a bakery. You walked 10m on one street and 10m on another street to get to the bakery. In total you walked 20m to get to the bakery. We know this because 10 + 10 = 20.

I really do hope that this helps you! Have a blessed day!

5 0
2 years ago
B=(2x+3)(4x^2-6x+9)-2(4^3-1)
nexus9112 [7]
B = (2x+3)(4x^2-6x+9)-2(4^3-1)
B = 8x^3-99

Hope it helps : )
5 0
1 year ago
If (x-10) is a factor of the polynomial P(x), which of the following do we know to be true?
Anon25 [30]

Answer:

Option 3, p(0) = -10

Option 4, p(10) = 0

Step-by-step explanation:

<u>Step 1:  Check</u>

x - 10 + 10 = 0 + 10

<em>x = 10</em>

f(0) = 0 - 10 = -10

x = -10

<em>p(10) = 0</em>

Answer:  Option 3, p(0) = -10, Option 4, p(10) = 0

4 0
2 years ago
Read 2 more answers
This table shows how much each type of meat costs at a local deli.
seraphim [82]
I think it’s A sorry if I’m wrong
3 0
2 years ago
Weights of cars passing over a bridge part 2<br>​
DaniilM [7]

Step-by-step explanation:

The solution to this problem is very much similar to your previous ones, already answered by Sqdancefan.

Given:

mean,  mu = 3550 lbs (hope I read the first five correctly, and it's not a six)

standard deviation, sigma = 870 lbs

weights are normally distributed, and assume large samples.

Probability to be estimated between W1=2800 and W2=4500 lbs.

Solution:

We calculate Z-scores for each of the limits in order to estimate probabilities from tables.

For W1 (lower limit),

Z1=(W1-mu)/sigma = (2800 - 3550)/870 = -.862069

From tables, P(Z<Z1) = 0.194325

For W2 (upper limit):

Z2=(W2-mu)/sigma = (4500-3550)/879 = 1.091954

From tables, P(Z<Z2) = 0.862573

Therefore probability that weight is between W1 and W2 is

P( W1 < W < W2 )

= P(Z1 < Z < Z2)

= P(Z<Z2) - P(Z<Z1)

= 0.862573 - 0.194325

= 0.668248

= 0.67 (to the hundredth)

6 0
3 years ago
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