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Maksim231197 [3]
3 years ago
9

The radius of a circle is 3 miles. What is the length of a 90° arc?

Mathematics
1 answer:
stealth61 [152]3 years ago
3 0

Answer:

The length of the arc is 4.6375 miles

Step-by-step explanation:

Firstly, find the perimeter of the circle by doing 2*pi*r, you'll get about 18.55 miles.

2*pi*r ---> 2*pi*3 ---> 6*pi ---> ≈ 18.55 miles

Next, plug in x/360, where 360 is the total arc of a circle, and x is the arc you need.

x/360 ---> 90/360 ---> = 0.25

Lastly multiply the two numbers.

18.55 * 0.25 ---> 4.6375 miles is your answer.

<em>(you may need to round your answer if needed)</em>

You might be interested in
A certain financial services company uses surveys of adults age 18 and older to determine if personal financial fitness is chang
zysi [14]

Answer:

The calculated z = 2.85 falls in the critical region z > 1.96 so we accept the null hypothesis that there is no difference between the population proportions for the two years.

Step-by-step explanation:

Let p1 be the sample of 1000 adults chosen in 2012 and

p2 be the sample of 1100 adults chosen in 2010

<u>Part a:</u>

The hypothesis that can be used to test for a significant difference between the population proportions for the two years is:

H0: p1-p2= 0           against the claim      Ha: p1-p2≠0

<u>Part b:</u>

The sample proportion indicating that their financial security was more that fair in 2012 is

p1^= 410/1000= 0.41

In 2010 is:

p2^= 385/1100= 0.35

<u>Part c:</u>

p^c= 410+385/1000+1100= 0.3785

q^c= 1-p^c= 1-0.3785= 0.6124

The critical region is z > ±1.96

The test statistic is

z= p1^- p2^ / sqrt ( p^cq^c( 1/n1+ 1/n2)

z= 0.41-0.35 /sqrt( 0.3785*0.6124(1/1000 +1/1100)

z=  0.06 / 0.021036

z= 2.85

Conclusion

The calculated z = 2.85 falls in the critical region z > 1.96 so we accept the null hypothesis that there is no difference between the population proportions for the two years.

P- value :  0.00466

The result is significant( accept the null hypothesis) for  value less than 0.05

<u>Part d:</u>

                                                     2012                         2010

Sample                                       1000                           1100

Proportions                               0.41                             0.35

Standard Error               √0.41( 0.59)/1000        √0.35( 0.65)/1100

                                               = 0.0155                0.01438

Standard Error for the difference = √0.0155² + 0.01438² =0.0211

p1-p2 ± z* standard error for the difference

0.41-0.35 ± 1.96 *( 0.0211)

0.06 ± 0.041356

-0.018644,   0.101356

The 95 % confidence interval estimate is (-0.018644,   0.10135

4 0
3 years ago
A survey showed that 79​% of adults need correction​ (eyeglasses, contacts,​ surgery, etc.) for their eyesight. If 14 adults are
Alexxandr [17]

Answer:

P(X \leq 1) = P(X=0) +P(X=1)

And if we find the indidivual probabilities we got:

P(X=0)=(14C0)(0.79)^0 (1-0.79)^{14-0}=3.24x10^{-10}  

P(X=1)=(14C1)(0.79)^1 (1-0.79)^{14-1}=1.71*10^{-8}

And replacing we got:

P(X \leq 1) = 1.74x10^{-8}

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: P(A)+P(A') =1

Solution to the problem

Let X the random variable of interest, on this case we now that:  

X \sim Binom(n=14, p=0.79)  

For the first part we want this probability:

P(X \leq 1) = P(X=0) +P(X=1)

And if we find the indidivual probabilities we got:

P(X=0)=(14C0)(0.79)^0 (1-0.79)^{14-0}=3.24x10^{-10}  

P(X=1)=(14C1)(0.79)^1 (1-0.79)^{14-1}=1.71*10^{-8}

And replacing we got:

P(X \leq 1) = 1.74x10^{-8}

4 0
3 years ago
Due: Today Raven told Micah the perimeter of the swimming pool was 35 feet, the dimension of the pool were 5 ft by 7 ft. Micah s
pychu [463]

Answer: Micah

Step-by-step explanation:

Given

Raven told Perimeter of the swimming pool is 35\ ft

Micah said Perimeter is 24\ ft

The actual dimension of the swimming pool is 5\ ft\times 7\ ft

Perimeter is given by  2(l+w)

Using this, the perimeter is

\Rightarrow P=2(5+7)\\\Rightarrow P=2\times 12=24\ ft

\therefore Micah statement is correct.

4 0
3 years ago
I need help please<br> fr tho i need help
maxonik [38]
The transformation for this specific diagram is (-y,x)
6 0
3 years ago
PLEASE ANSWER ASAP!!!!!!!!
Rina8888 [55]

The drag phase you have given the interference would be a positive x-axis.

As Sally determines the angle of rotation, since it is π, she lies on the negative x-axis.

The first block then should be the negative x-axis if r is positive and on the positive x-axis if r is negative.

<h3>What is the interference form?</h3>

It is a phenomenon in which two or more waves superimpose to form a resultant wave of greater or lower amplitude.

My other reason for changing the dragged phase would be as they used the word, therefore, in the last sentence.

Which would mean interference from the above statements, from the drag phase you have given the interference would be a positive x-axis.

To learn more about the interference form visit:

brainly.com/question/4449144

#SPJ1

8 0
2 years ago
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