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Leviafan [203]
3 years ago
11

Analyze this student's work. What did the student do correctly? What did he do incorrectly?

Mathematics
1 answer:
saw5 [17]3 years ago
8 0
I don’t think he did distributive property
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How would you write 1 - x^4 before you divide it by x - 1?
devlian [24]
Order your terms by the powers of exponents in decreasing order (as is the case with pure number division hundreds, tens, ones, tenths, etc, etc) as x^n, x^n-1 etc...

(-x^4+1)/(x-1)
-x^3 rem -x^3-1
-x^2 rem -x^2-1
-x     rem -x-1
-1     rem 0

(x-1)(-x^3-x^2-x-1)

(x-1)(-x^3-x-x^2-1)

(x-1)(-x(x^2+1)-1(x^2+1))

(x-1)(-x-1)(x^2+1)
8 0
4 years ago
Please help me with this question.
elixir [45]
You will see a tiny picture up top of the question and draw it out and added then work
8 0
3 years ago
Information on a packet of seeds claims that the germination rate is 92%. The packet contains 160 seeds.
xenn [34]

Answer: a. N(0.92, 0.0215)

Step-by-step explanation:

For population proportion (p) and sample size n, the mean and standard deviation is given by :-

The sampling distribution model for p is given by :_

N(\mu_p,\ \sigma_p)

, where

\mu_p=p \\ \sigma_p=\sqrt{\dfrac{p(1-p)}{n}

We assume that the seeds are randomly selected.

Given : Information on a packet of seeds claims that the germination rate is 92%.

i.e. p= 0.92

The packet contains 160 seeds.

i.e. n= 160

Then ,  \mu_p=0.92\\ \sigma_p=\sqrt{\dfrac{0.92(1-0.92)}{160}}\approx0.0215

Hence, the sampling distribution model for p is:

N(\mu_p,\sigma_p) = N(0.92, 0.0215)

7 0
4 years ago
I'm not sure about 38 - 53 please help! :)
GrogVix [38]
38. 6,800g       39. 19,600g
40. 27,910g       41. 32,840g
42. 610g            43. 970g
44. 3,712g          45. 8,937g
46. 37g              47. 69g
48. 1,510g          49. 4,700g
50. 150g            51. 51g
52. 15,200g      53. 460g


there, put these in:) hope you do well:)

please give brainliest? I did a lot of hard work for this ok?

5 0
3 years ago
The evening bus arrives at a random time between 5:45 and 6:45 pm. You leave work at a random time between 5:00 and 6:15 pm. Dev
Ede4ka [16]
Pretty sure the answer is B Hope this helps! :D
3 0
3 years ago
Read 2 more answers
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