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zubka84 [21]
3 years ago
9

PLEASE HURRY!!!!II WILL MARK BRAINLEST

Mathematics
2 answers:
prisoha [69]3 years ago
7 0

Answer:

2

Step-by-step explanation:

To evaluate the expression substitute t = 4 into the expression, that is

8/t = 8/4 =2

podryga [215]3 years ago
4 0

Answer:8/2=4

Step-by-step explanation:

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What is the difference between -3 and 7? *
Murrr4er [49]

Answer:

4

Step-by-step explanation:

Hope this helped

6 0
3 years ago
Read 2 more answers
20 pts, try to find short story and novel pages, A novel has 13 times as many pages as a short story. The combined number of pag
brilliants [131]

Answer:

short story has 32 pgs

novel has 416 pgs

Step-by-step explanation:

a novel (N) has 13 times as many pages as a short story (x) so, N = 13X

total pages is the equation N + x = 448

plug the equation for N into this

13x + x = 448, combine like terms

14x = 448, divide both sides by 14

x = 32. so now we know that the short story has 32 pages. subtract that from 448. and the novel has 416 pages.

8 0
3 years ago
Please help me with this geometry question:((
Leona [35]

Answer:

A. 1/5 or 0.2

B. 1/2 or 0.5

Step-by-step explanation:

5 0
3 years ago
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A rectangle and a parallelogram have the same base and the same height.
lidiya [134]

Answer:

equal to

Step-by-step explanation:

mark me brainlist

5 0
3 years ago
What is the z-score of a newborn who weighs 4,000 g?.
vagabundo [1.1K]

The z-score of the considered newborn having 4,000 g weight is \dfrac{4000 - \mu}{\sigma}

<h3>How to get the z scores?</h3>

If we've got a normal distribution, then we can convert it to standard normal distribution and its values will give us the z score.

If we have

X \sim N(\mu, \sigma)

(X is following normal distribution with mean \mu and standard deviation  \sigma)

then it can be converted to standard normal distribution as

Z = \dfrac{X - \mu}{\sigma}, \\\\Z \sim N(0,1)

(Know the fact that in continuous distribution, probability of a single point is 0, so we can write

P(Z \leq z) = P(Z < z) )

Also, know that if we look for Z = z in z tables, the p value we get is

P(Z \leq z) = \rm p \: value

For the considered case, the statement in the problem is missing the mean weight of the newborn and standard deviation of the data set of weights of newborn.

Thus, for them, we can consider variables in place of their actual values.

Let we have:

  • X = weights of newborns for some considered system (in grams)
  • \mu = mean weight of newborns (in grams)
  • \sigma = standard deviation of the data set of weights of newborns

Then, the z-score for X = 4000 is

z = \dfrac{x - \mu}{\sigma} = \dfrac{4000 - \mu}{\sigma}

Thus, the z-score of the considered newborn having 4,000 g weight is \dfrac{4000 - \mu}{\sigma}

Learn more about z-scores here:

brainly.com/question/13299273

3 0
2 years ago
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