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Rom4ik [11]
3 years ago
11

F(x)=7e^-2t growth or decay

Mathematics
1 answer:
Roman55 [17]3 years ago
7 0
\bf a^{-{ n}} \implies \cfrac{1}{a^{ n}}\qquad \qquad
\cfrac{1}{a^{ n}}\implies a^{-{ n}}
\\ \quad \\\\ %  negative exponential denominator
a^{{ n}} \implies \cfrac{1}{a^{- n}}
\qquad \qquad 
\cfrac{1}{a^{- n}}\implies \cfrac{1}{\frac{1}{a^{ n}}}\implies a^{{ n}} \\\\
-----------------------------\\\\
f(x)=7e^{-2t}\iff f(x)=7\cdot \cfrac{1}{e^{2t}}\iff f(x)=\cfrac{7}{e^{2t}}


as "t" grows larger and larger, 10, 100, 10000, 1000000 and so on, the denominator becomes larger and larger, whilst the numerator is static, thus, the fraction becomes smaller and smaller

as "t" increases, f(x) decreases, decay
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-5x+y=-2<br> -3x+6y=-12<br> Solve by using substitution.
KIM [24]
-5x+y=-2
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4 0
3 years ago
What binomial must he added to (3r+14) to make the sum of the two polynomials equal (8r-6)
rodikova [14]

Answer:

(5r - 20)

Step-by-step explanation:

(3r + 14) + (Ar + B) = (8r - 6)

B = -6 - 14 = -20

A = 8 - 3 = 5

4 0
3 years ago
a normal distribution has a mean of 10 and a standard deviation of 1 what is the probability of selecting a number between 8 and
rusak2 [61]

Answer:

0.815

Step-by-step explanation:

First, find the z-scores.

z = (x − μ) / σ

z₁ = (8 − 10) / 1

z₁ = -2

z₂ = (11 − 10) / 1

z₂ = 1

P(-2 < Z < 1) = P(Z < 1) − P(Z < -2)

Use a chart, calculator, or the empirical rule to find the probability.

Using the empirical rule:

P(-2 < Z < 1) = 0.84 − 0.025

P(-2 < Z < 1) = 0.815

Using a chart:

P(-2 < Z < 1) = 0.8413 − 0.0228

P(-2 < Z < 1) = 0.8185

5 0
4 years ago
Does anyone know the answer to this problem?
Mariana [72]

The regression equation is y = 16.585x - 639.769 and the linear correlation coefficient indicates a strong linear relationship

<h3>How to determine the regression equation?</h3>

To do this, we make use of a statistical calculator;

Using the statistical calculator, we have the following summary:

  • Sum of X = 554
  • Sum of Y = 4070
  • Mean X = 69.25
  • Mean Y = 508.75
  • Sum of squares (SSX) = 725.5
  • Sum of products (SP) = 12032.5
  • Correlation coefficient, r = 0.9768

The regression equation is

ŷ = bx + a

Where:

b = SP/SSX = 12032.5/725.5 = 16.58511

a = MY - bMX = 508.75 - (16.59*69.25) = -639.76912

Hence, the regression equation is y = 16.585x - 639.769

<h3>The number of cans sold at 90 degrees F</h3>

This means that"

x = 90

So, we have:

y = 16.585 * 90 - 639.769

Evaluate

y = 852.881

Approximate

y = 853

Hence, 853 cans were sold at 90 degrees F

<h3>The linear correlation coefficient</h3>

In (a), we have:

r = 0.9768

This means that the linear correlation coefficient is 0.9768

<h3>The conclusion</h3>

We have:

r = 0.9768

The above value is closer to 1 because

|r| > 0.9

i.e.

0.9768 > 0.9

Hence, the linear correlation coefficient indicates a strong linear relationship

Read more about regression at:

brainly.com/question/17844286

#SPJ1

6 0
2 years ago
Four of the angles of a pentagon have measures 40, 80, 115, and 165. Find the measure of the fifth angle. ...?
Tresset [83]
The sum of the interior angles of a pentagon is 540 degrees. We find the measure of the fifth angle by summing up the four angles given and subtracting this to the total sum. We calculate as follows:

Fifth angle = 540 - (40+80+115+165) = 140 degrees

Hope this answers the question.
3 0
3 years ago
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