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Alik [6]
3 years ago
13

The triangle below has a perimeter of 27 cm.

Mathematics
1 answer:
hodyreva [135]3 years ago
6 0

Answer:

9 cm

Step-by-step explanation:

27 / 3 =9 cm

The total periméter is 27 and it has 3 sides so just divide

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A news item is spreading by word of mouth through a population of size 12,000 people. After t days, the number of people (in tho
Lilit [14]

Answer:

a) 2.303

b) f'(t)=\frac{432e^{-0.48t}}{(1+75e^{-0.48t})^{2}}

c) 1.3609

e) \frac{dy}{dx}=0.04y(12-y)

f)  4.5 thousand people(smaller)

7.5 thousand people (larger)

e) t=7.93 days (smaller)

t=10.06 days (larger)

g) 1.44

Step-by-step explanation:

The given function is y=f(t)=\frac{12}{1+75e^{-0.48t}}

To find how many thousand people have heard the news after 6 days, we substitute to get:

f(6)=\frac{12}{1+75e^{-0.48*6}}=2.303  thousands.

b) We rewrite to get: f(t)=12(1+75e^{-0.48t})^{-1}

We differentiate using the chain rule to obtain:

f'(t)=-12(1+75e^{-0.48t})^{-2}\cdot 75e^{-0.48t}\cdot -0.48

This simplifies to:

f'(t)=432e^{-0.48t}(1+75e^{-0.48t})^{-2}

We rewrite as positive index to get:

f'(t)=\frac{432e^{-0.48t}}{(1+75e^{-0.48t})^{2}}

c) To find the rate at which the news is spreading after 8 days, we substitute t=8 into f'(t)=\frac{432e^{-0.48t}}{(1+75e^{-0.48t})^{2}} to get:

f'(8)=\frac{432e^{-0.48\cdot 8}}{(1+75e^{-0.48\cdot 8})^{2}}=1.3609

d) The solution to the logistic differential equation:

\frac{dy}{dt}=ky(M-y)

is

y=\frac{M}{1+be^{-Mkt}}

By comparison, M=12, and Mk=0.48

12k=0.48\\k=0.04

The differential equation is:

\frac{dy}{dx}=0.04y(12-y)

e) To how many people have heard the news when its rate of spread is 1.35 thousand per day, we equate the differential equation to 1.35 and so for t first.

\frac{432e^{-0.48t}}{(1+75e^{-0.48t})^{2}}=1.35

This gives us: t=10.06 ot t=7.93

We substitute the times into the function to get:

f(7.93)=\frac{12}{1+75e^{-0.48\cdot7.93}}=4.5 thousand: smaller value

f(10.06)=\frac{12}{1+75e^{-0.48\cdot10.06}}=7.5 thousand: Larger value

f) The two times that the news is spreading at rate 1.35 thousand people per day are:

t=7.93 days: Smaller value

t=10.06: Larger value

g) To find the fastest rate at which the news spread we take the second derivative and equate it to zero.

f''(t)=0

This corresponds to where the horizontal line is tangent to

f'(t)=\frac{432e^{-0.48t}}{(1+75e^{-0.48t})^{2}}

From the graph the point of tangency is:

(8.99,1.44)

Therefore the fastest rate at which the news spread is 1.44

7 0
3 years ago
Name the ray in the figure
Pavlova-9 [17]

the answer is m to p


5 0
4 years ago
Read 2 more answers
Question 10. Simplify the expression. (x^2 - 9)/(x^2 + 2x - 15)
krek1111 [17]

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3 years ago
Rewrite in simplest terms: 5(0.9m+0.5)-3(0.4m+0.7)
hram777 [196]

Answer:

3.3m+1.4

Step-by-step explanation:

Multiply 5 and 0.9m

Multiply 5 and 0.5

5 times 0.9m is 4.5m

5 times 0.5 is 2.5

Multiply -3 and 0.4m

Multiply -3 and 0.7

-3 times 0.4m is -1.2m

-3 times -.7 is -2.1

4.5m+ 2.5 -1.2m-2.1

Which is 3.3m+1.4

Hope this helps!

3 0
3 years ago
What proportion of US women have a height greater than 69.5 inches?
kiruha [24]

Using the Normal distribution, it is found that 0.0359 = 3.59% of US women have a height greater than 69.5 inches.

In a <em>normal distribution</em> with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

  • It measures how many standard deviations the measure is from the mean.  
  • After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.

US women’s heights are normally distributed with mean 65 inches and standard deviation 2.5  inches, hence \mu = 65, \sigma = 2.5.

The proportion of US women that have a height greater than 69.5 inches is <u>1 subtracted by the p-value of Z when X = 69.5</u>, hence:

Z = \frac{X - \mu}{\sigma}

Z = \frac{69.5 - 65}{2.5}

Z = 1.8

Z = 1.8 has a p-value of 0.9641.

1 - 0.9641 = 0.0359

0.0359 = 3.59% of US women have a height greater than 69.5 inches.

You can learn more about the Normal distribution at brainly.com/question/24663213

3 0
3 years ago
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