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Maksim231197 [3]
3 years ago
6

A manufacturer of radial tires for automobiles has extensive data to support the fact that the lifetime of their tires follows a

normal distribution with a mean of 42,100 miles and a standard deviation of 2,510 miles. Find the probability that a randomly selected tire will have a lifetime of between 44,500 miles and 48,000 miles. Be certain that you round your z-values to two decimal places. Round your answer to 4 decimal places.(A) 0.1685 (B) 0.8315 (C) 0.1591 (D) 0.3315 (E) None of these are correct.
Mathematics
1 answer:
Diano4ka-milaya [45]3 years ago
3 0

Answer:  (C) 0.1591

Step-by-step explanation:

Given : A manufacturer of radial tires for automobiles has extensive data to support the fact that the lifetime of their tires follows a normal distribution with

\mu=42,100\text{ miles}

\sigma=2,510\text{ miles}

Let x be the random variable that represents the lifetime of the tires .

z-score : z=\dfrac{x-\mu}{\sigma}

For x= 44,500 miles

z=\dfrac{44500-42100}{2510}\approx0.96

For x= 48,000 miles

z=\dfrac{48000-42100}{2510}\approx2.35

Using the standard normal distribution table , we have

The p-value : P(44500

P(z

Hence, the probability that a randomly selected tire will have a lifetime of between 44,500 miles and 48,000 miles =  0.1591

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Olegator [25]

2(4x+9)=8x+18

8x+18=8x+18

8x=8x

x=x

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2 years ago
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at a zoo 3 pandas eat a total of 181.5 pounds of bamboo shoots each day. the male eats 3 times as much as the baby. the female e
Monica [59]
At a zoo it has been found that the total amount of bamboo shoots eaten by 3 pandas in a day is 181.5 pounds. Also it is given that the male panda eats 3 times as that of the baby panda and the female panda eats 2 times as that of the baby panda.
Let us assume that the amount of bamboo shoot eaten by the baby panda in a day = X
The amount of bamboo shoots eaten by the male panda in a day = 3X
Amount of bamboo shoots eaten by the female panda in a day = 2X
Then
X + 3X + 2X = 181.5
6X = 181.5
X = 181.5/6
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So the baby panda eats a total of 30.25 pounds of bamboo shoots in a day.
The amount of bamboo shoots eaten by the female panda in a single day = 2 * 30.25
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3 0
2 years ago
Give two variables that exhibit a positive direct linear variation.
Ulleksa [173]

The two variables that exhibit a positive direct linear variation are x and y and the equation is y = 6x

<h3>How to give two variables that exhibit a positive direct linear variation.</h3>

A positive direct linear variation is represented as

y = mx

Where

m represents the constant of variation

In this case,

m can be any value greater than 0

Say m = 6

So, we have

y = 6x

Hence, the two variables that exhibit a positive direct linear variation are x and y and the equation is y = 6x

Read more about direct variation at:

brainly.com/question/6499629

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1 year ago
Hii please help i’ll give brainliest
Novosadov [1.4K]
I think the answer would be 1/2 but i’m not sure if that’s what it’s asking
4 0
3 years ago
A car dealership sells 0, 1, or 2 luxury cars on any day. When selling a car, the dealer also tries to persuade the customer to
melisa1 [442]

Answer:

Mean = 1.42

Variance = 0.58

Step-by-step explanation:

Given: X denote the number of luxury cars sold in a given day, and Y denote the number of extended warranties sold.

Also, joint probability function of X and Y are given.

To find:

mean and variance of X

Solution:

From the given joint probability function of X and Y,

P(X=0)=\frac{1}{6}\\P(X=1)=\frac{1}{12}+\frac{1}{6}=\frac{1+2}{12}=\frac{3}{12}\\P(X=2)=\frac{1}{12}+\frac{1}{3}+\frac{1}{6}=\frac{1+4+2}{12}=\frac{7}{12}

Mean of X:

E(X)=\sum XP(X)\\=0\left ( \frac{1}{6} \right )+1\left ( \frac{3}{12} \right )+2\left ( \frac{7}{12} \right )\\=0+\frac{3}{12}+\frac{14}{12}\\=\frac{17}{12}=1.42

Variance of X:

E(X^2)=\sum X^2P(X)\\=0^2\left ( \frac{1}{6} \right )+1^2\left ( \frac{3}{12} \right )+2^2\left ( \frac{7}{12} \right )\\=0+\frac{3}{12}+\frac{28}{12}\\=\frac{31}{12}

var(X)=E\left [ X^2 \right ]-\left ( E\left [ X \right ] \right )^2\\=\frac{31}{12}-\left ( \frac{17}{12} \right )^2\\=\frac{31}{12}-\frac{289}{144}\\=\frac{372-289}{144}\\=\frac{83}{144}\\=0.58

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3 years ago
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