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vfiekz [6]
2 years ago
5

Date

Mathematics
2 answers:
Maslowich2 years ago
7 0

Answer:

<u><em>Fri, Feb, 8th, at 3:16 pm.</em></u>

Step-by-step explanation:

Pretty sure bout it!! :)

<u>ALSO, I JUST TOOK THE TEST AND I GOT A 100%.</u>

EDIT: I just now saw the other persons answer, and no i DID NOT copy them, so don't even say I did, cuz you're not me and you don't know what i think.... :-)

Yakvenalex [24]2 years ago
5 0

Answer:

Friday, Feb. 8, at 3:16 p.m.

Step-by-step explanation:Just took it :3

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Replace * with a monomial in such a way, that the trinomial becomes a perfect
ExtremeBDS [4]

Answer: 36x^2

Step-by-step explanation:

Hi! I usually hate to use links, but I actually just answered this same question for someone else. I would copy and paste, but my copy and paste is screwing up the format making it super hard to read. I'm attaching the link instead. Hope this helps!

brainly.com/question/26017159?cb=1639960292092

8 0
2 years ago
Evaluate x + 23<br> when x=7
iren2701 [21]

Answer:

30

Step-by-step explanation:

x + 23 = ?

x = 7

All we need to do is plug in x =7 to the first equation:

7 + 23 = ?

We simplify and get:

30 = ?

3 0
2 years ago
The Student Council is making 6 pennants to promote school spirit. Each pennant is in the shape of a right triangle 20 cm high a
hodyreva [135]
7200
You have to multiply 20×60 to get 1200 which is the area of one pennant multiply that by six and you get 7200 which is the area of six pennant
3 0
3 years ago
Exhibit 6-5 The weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation o
hjlf

Answer:

46.18% of the items will weigh between 6.4 and 8.9 ounces.

Step-by-step explanation:

We are given that the weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation of 2 ounces.

<em>Let X =  weight of items produced by a machine</em>

The z-score probability distribution for is given by;

                Z = \frac{  X -\mu}{\sigma}  ~ N(0,1)

where, \mu = mean weight = 8 ounces

            \sigma = standard deviation = 2 ounces

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, percentage of items that will weigh between 6.4 and 8.9 ounces is given by = P(6.4 < X < 8.9) = P(X < 8.9 ounces) - P(X \leq 6.4 ounces)

   P(X < 8.9) = P( \frac{  X -\mu}{\sigma} < \frac{  8.9-8}{2} ) = P(Z < 0.45) = 0.67364  {using z table}

   P(X \leq 70) = P( \frac{  X -\mu}{\sigma} \leq \frac{  6.4-8}{2} ) = P(Z \leq -0.80) = 1 - P(Z < 0.80)

                                                 = 1 - 0.78814 = 0.21186

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 0.45 and x = 0.80 in the z table which has an area of </em>0.67364<em> and </em>0.78814<em> respectively.</em>

Therefore, P(6.4 < X < 8.9) = 0.67364 - 0.21186 = 0.4618 or 46.18%

<em>Hence, 46.18% of the items will weigh between 6.4 and 8.9 ounces.</em>

8 0
3 years ago
The base of a rectangular prism is a square. The height of the prism is half the length of one edge of the base. The volume of t
ki77a [65]

Answer:

The prism is 3 by 3 by 1.5.

Step-by-step explanation:

The prism has a length x and a width x. Since it is a square at the base both length and width are the same amount x. The height is "half the length of one edge of the base". Since the base is x, this makes it 1/2x.

The volume's prism is found using V = l*w*h. Substitute and simplify.

13.5 = x*x*1/2x

13.5 = 1/2 x^3

27 = x^3

3 = x

The prism is 3 by 3 by 1.5.

4 0
3 years ago
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