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aev [14]
3 years ago
12

The Sears Tower, at 1,451 feet, is one of the tallest structures in the United States. A penny is thrown from the top of the tow

er. The height, h, of the penny is recorded after each second, t, in the table. Write an equation for the curve of best fit, then find the approximate height of the penny after 7 seconds.
Mathematics
1 answer:
padilas [110]3 years ago
6 0

Answer:

The equation for the height of the penny in function of time is:

h(t)=1451-16t^2

After 7 seconds, the penny will be at a height of 667 feet.

Step-by-step explanation:

The penny will have a free fall.

The initial velocity is zero, and the initial height is h(0)=1,451.

The acceleration will be the gravity, that has a value g=32 ft/s^2.

Then, we can model this starting by the speed:

dv/dt=-g\\\\v(t)=v_0-gt=-gt

Then, the height becomes:

dh/dt=v(t)=-gt\\\\h(t)=h_0-\dfrac{gt^2}{2}=1451-\dfrac{32}{2}t^2\\\\\\h(t)=1451-16t^2

The approximate height of the penny after 7 seconds can be calculated as:

h(7)=1451-16(7^2)=1451-16*49=1451-784=667

After 7 seconds, the penny will be at a height of 667 feet.

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Answer:

0.0307

Step-by-step explanation:

Given data;

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Rivets from vendor B = 80%;     P__B = 0.8

Number of rivets purchased from each vendor (n) =500

Assuming that Y__A} and Y__B represents the mean numbers of rivets that hits the targeted specification.

Using the Central Limit Theorem to evaluate the Binomial distribution of  Y__A} and Y__B; Then:

nP__A = 500 × 0.7

       = 350

       > 10

nP__A}(1-P_A) = 500 × 0.3

       = 150

       > 10

nP__B  =  500 × 0.8

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       > 10

nP__B}(1-P_B) =  500 × 0.2

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Hence;

Y__A ≅ N ( nP__A , nP__A}(1-P_A) ) = N (350,105)

Y__B  ≅ N ( nP__B  , nP__B}(1-P_B) ) = N (400, 80)

T = Y__A  + Y__B

T ≅ N (750, 185)

We are tasked to find out that what is the probability that more than 775 of the rivets meet the specifications; So, we need to determine that P(T > 775); the continuity  correction point T = 775.5

The corresponding Z-value is as follows:

z= \frac{775.5 -750}{\sqrt{185} }

Z= 1.87

P(T>775) =P(Z>1.87)

               = 1 - 0.9693

               = 0.0307

∴ the probability that more than 775 of the rivets meet the specifications = 0.0307

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To answer this, you must first understand what fractional exponents mean.

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