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vlada-n [284]
3 years ago
11

Solve the following equation 3m^2=3-8m. Find both values

Mathematics
1 answer:
Len [333]3 years ago
7 0

3m² = 3 - 8m
0 = 3m² + 8m - 3
0 = (3m - 1 )(m + 3)

m = -3, 0.33

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timurjin [86]

Answer:

z+9(8−x)+8(z+8)=

z+72-9x+8z+64=

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(3−10)^2−(5−12)^2     parenthesis first

(-7)²-(-7)²=

49-(49)=49-49=0

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2^2⋅4^3      exponent first

2*2*4*4*4

4*64=256  

6 0
3 years ago
The population of a city is 50,000. It is increasing at an annual rate of 3%. What is the
vlada-n [284]
The population will be 56,275 people.
You can see the picture for the formula.

3 0
3 years ago
Read 2 more answers
100e^0.125t=200<br><br>A. t= ln(16)<br>B. t= ln(256)<br>C. t= 8ln(100)<br>D. t= 0.08ln(200)
Drupady [299]

The correct answer is C. t= 8ln(100)

Hope this helped! :)



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5 0
3 years ago
Which is the graph of f(x) = 4"?
Ugo [173]

Answer: yee

Step-by-step explanation:

3 0
3 years ago
The score on an exam from a certain MAT 112 class, X, is normally distributed with μ=78.1 and σ=10.8.
salantis [7]

a) X

b) 0.1539

c) 0.1539

d) 0.6922

Step-by-step explanation:

a)

In this problem, the score on the exam is normally distributed with the following parameters:

\mu=78.1 (mean)

\sigma = 10.8 (standard deviation)

We call X the name of the variable (the score obtained in the exam).

Therefore, the event "a student obtains a score less than 67.1) means that the variable X has a value less than 67.1. Mathematically, this means that we are asking for:

X

And the probability for this to occur can be written as:

p(X

b)

To find the probability of X to be less than 67.1, we have to calculate the area under the standardized normal distribution (so, with mean 0 and standard deviation 1) between z=-\infty and z=Z, where Z is the z-score corresponding to X = 67.1 on the s tandardized normal distribution.

The z-score corresponding to 67.1 is:

Z=\frac{67.1-\mu}{\sigma}=\frac{67.1-78.1}{10.8}=-1.02

Therefore, the probability that X < 67.1 is equal to the probability that z < -1.02 on the standardized normal distribution:

p(X

And by looking at the z-score tables, we find that this probability is:

p(z

And so,

p(X

c)

Here we want to find the probability that a randomly chosen score is greater than 89.1, so

p(X>89.1)

First of all, we have to calculate the z-score corresponding to this value of X, which is:

Z=\frac{89.1-\mu}{\sigma}=\frac{89.1-78.1}{10.8}=1.02

Then we notice that the z-score tables give only the area on the left of the values on the left of the mean (0), so we have to use the following symmetry property:

p(z>1.02) =p(z

Because the normal distribution is symmetric.

But from part b) we know that

p(z

Therefore:

p(X>89.1)=p(z>1.02)=0.1539

d)

Here we want to find the probability that the randomly chosen score is between 67.1 and 89.1, which can be written as

p(67.1

Or also as

p(67.1

Since the overall probability under the whole distribution must be 1.

From part b) and c) we know that:

p(X

p(X>89.1)=0.1539

Therefore, here we find immediately than:

p(67.1

7 0
3 years ago
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