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yawa3891 [41]
3 years ago
10

a child who is 5 ft tall is standing 10 feet from the base of a tree. the child’s shadow has a length of 3 feet. how tall is the

tree ?
Mathematics
2 answers:
Viktor [21]3 years ago
7 0
24 ft tallll i think i didnt double check
Scrat [10]3 years ago
7 0
The answer would most certainly be 5.5ft your welcome
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On average, a pair of bike tires can last 18 months if used every day. The length of time bike tires can last is exponentially d
aleksandr82 [10.1K]

Answer:

We conclude that eighty percent of bike tires last at most 14.4 months.

Step-by-step explanation:

We know that a pair of bike tires can last 18 months if used every day.

We calculate how much eighty percent of the tire will last in months.

We have the following proportion:

18:100\%=x:80\%\\\\100x=18\cdot 80\\\\100x=1440\\\\x=\frac{1440}{100}\\\\x=14.4

We conclude that eighty percent of bike tires last at most 14.4 months.

5 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
Alyssa is learning to drive her parents' car.
Eduardwww [97]

Answer:

D

Step-by-step explanation:

I just did this test and D was the right answer.

8 0
2 years ago
What are the sides of each figure
Naya [18.7K]
The question to that answer is 10
8 0
3 years ago
Need help with part c
Artyom0805 [142]
First understand that this is a linear graph. Find 2 points on the graph. We can use (0,1) and (3,-3).

Look at how much the x increases, in this case the x value increases by 0+3, so 3.

Then see how much the y value increases (make sure to evaluate them in the same order) 1 + (-3) = -2.

So you know that the y value decreases by 2 units for every 3 unit increase in x. Therefore the slope is y=(-2/3)x

Then figure out what you add to the end. The y intercept is (0,1), so add 1 to the end of y=(-2/3)x to move it up.

Your resulting eq is y=(-2/3)x+1
8 0
3 years ago
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