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jeka57 [31]
3 years ago
15

-4/7p+ (-2/7p)+1/7? I need help on my assignment please :)

Mathematics
2 answers:
lana66690 [7]3 years ago
5 0

Answer:

-6p-1/7

Step-by-step explanation:

o-na [289]3 years ago
5 0
-6p/-1/7 i think is the answer
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3 9/100 + 2 8/10 = ? ?/100<br><br> help its 4 a friend!!!
ser-zykov [4K]
For the fraction 28/10,
times 10 at 28 and 10,(to get the same denominator"100")
28×10=280
10×10=100

Thus,
28/10 become 280/100

We can plus the number above the denominator"100",which is 39 and 280.It is because they have achieved a same denominator.
39/100+280/100
=(39+280)/100
=319/100
4 0
3 years ago
A) -198+(-32) ayuda porta<br> B)-99+(-12)
igor_vitrenko [27]

Answer:

A) -230

B) -111

Step-by-step explanation:

A negative plus a negative is a negative

- + - = -

5 0
3 years ago
What's the simplified expression of 6x2y3/2x−2?
laila [671]

Step-by-step explanation:

6x^2y^3/2x-2

=6x^2y^3/2 (x-1)

=3x^2y^3/(x-1)

4 0
2 years ago
Read 2 more answers
Men consume on average 15 grams of protein a day. Assume a normal distribution with a standard deviation of 3 grams. A sample of
tatyana61 [14]

Using the normal distribution, there is a 0.4826 = 48.26% probability that the sample mean is between 15 and 16 grams per day.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

Z = \frac{X - \mu}{\sigma}

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation s = \frac{\sigma}{\sqrt{n}}.

For this problem, the parameters are given as follows:

\mu = 15, \sigma = 3, n = 40, s = \frac{3}{\sqrt{40}} = 0.4743

The probability is the <u>p-value of Z when X = 16 subtracted by the p-value of Z when X = 15</u>, hence:

X = 16:

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{16 - 15}{0.4743}

Z = 2.11

Z = 2.11 has a p-value of 0.9826.

X = 15:

Z = \frac{X - \mu}{s}

Z = \frac{15 - 15}{0.4743}

Z = 0

Z = 0 has a p-value of 0.5.

0.9826 - 0.5 = 0.4826 = 48.26% probability that the sample mean is between 15 and 16 grams per day.

More can be learned about the normal distribution at brainly.com/question/15181104

#SPJ1

4 0
2 years ago
Which answer choice
joja [24]

Answer: b

Step-by-step explanation: I did this on a test before

7 0
2 years ago
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