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3 years ago

PLEASE HELP https://brainly.com/question/19115517

Mathematics

2 answers:

Montano1993 [528]3 years ago

5 0

??? Im sorry im confused

Pavlova-9 [17]3 years ago

5 0

Answer:

didnt mean to write here sorry

Step-by-step explanation:

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video streaming company a charges a one-time $40 membership fee and $2 per video stream. video streaming company b charges a one

ExtremeBDS [4]

Answer:

Company A:

c = 40 + 2s

Company B:

c = 20 + 4s

Equal costs => 40 + 2s = 20 +4s => 4s - 2s = 40 - 20 => 2s = 20 => s = 20/2

=> s = 10

And c = 20 + 4s = 20 + 4(10) = 20 + 40 = 60

Step-by-step explanation:

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3 years ago

Which is the factored form of 64p3 + 125?

xz_007 [3.2K]

Answer:

q .no d

Step-by-step explanation:

64p^3+125

4p^3+ 5^3

(4p+ 5 ) ( 4p^2- 4p *5 + 5^2)

(4p+5) (16p- 20p+ 25)

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3 years ago

Read 2 more answers

Rick was given a 15% tip waiting on a table of customers who ordered $60.00 in food and drinks. How much did Rick earn in tips f

Nata [24]

Answer:

Step-by-step explanation:

15% of 60 is 9

thus, he earned $9

8 0

3 years ago

The table below shows the functions to represent the sale f(t), in thousands, of four companies in t years: Company A B C D Sale

bazaltina [42]

1) Company A and C

2)Your answer is f(t) = 180(0.5)^t This is because the number is cut in half for every hour.

3)C 0 ≤ x ≤ 50 is the right answer because the starting time 9:05 is considered as zero and the 9:55 is the ending point which is considered as 50.Or simply the difference of both the times is the domain of the function.

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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