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kherson [118]
3 years ago
12

Can u Simplify this problem???!? 3t-7t+14t

Mathematics
2 answers:
sleet_krkn [62]3 years ago
7 0
Come on now, Tayala !

What if I say to you:
"Start with 3 cows, take away 7 cows, and then add 14 cows. How many are there ?"

Don't let the little 't' scare you.  It doesn't matter one bit what 't' really is.  It can be
a number, a teacher, a tiger, or a teacup.  Whatever it is, you start with 3 of them,
take away 7 of them, and then add on 14 of them.  How many are there ?

Hint:  If there are not ten of them, then go back and look at the cows again.
MrRa [10]3 years ago
4 0
3t-7t+14t=\\
\\
-4t+14t=10t
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Find the derivative of cscx/3sinx
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\frac{csc x}{3sinx} =  \frac{1}{3sin ^{2}x }
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3 years ago
A reactangle has a perimeter 182 in and length 52 in . what is the width ?
Misha Larkins [42]
The Width Should Be 130 Because If You Subtract 182-52 You Get 130
4 0
4 years ago
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SOMEONE HELP ME AGAINNN LOL
olya-2409 [2.1K]

Answer:

open circle

Step-by-step explanation:

the open circle does not include the number. this is what you want because the solution is not equal to the number

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3 years ago
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What are the intercepts of f(x)=5x-45
Mnenie [13.5K]
The y-intercept of f(x) = 5x - 45 would be -45, as that is what is represented in the equation. The way to find the x-intercept would be to solve the equation when f(x) = 0.

     0 = 5x - 45
+ 45         + 45

   45 = 5x
    /5     /5
     9 = x

And there we have it.
The intercepts of f(x) = 5x - 45 are as follows:

y-intercept = -45
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Hope that helped =)
7 0
3 years ago
The compressive strength of concrete is normally distributed with mu = 2500 psi and sigma = 50 psi. A random sample of n = 8 spe
Nata [24]

Answer:

X \sim N(2500,50)  

Where \mu=2500 and \sigma=50

We select a sample size of n =8. Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error would be:

SE = \frac{50}{\sqrt{8}}= 17.678 psi

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

Solution to the problem

Let X the random variable that represent the compressive strength of concrete of a population, and for this case we know the distribution for X is given by:

X \sim N(2500,50)  

Where \mu=2500 and \sigma=50

We select a sample size of n =8. Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error would be:

SE = \frac{50}{\sqrt{8}}= 17.678 psi

7 0
3 years ago
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