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iogann1982 [59]
4 years ago
6

At 1pm, there was 16 seagulls on the beach. At 3pm, there were 60 seagulls. What is the constant rate of change

Mathematics
2 answers:
belka [17]4 years ago
7 0
22 seagulls per hour... cx
rodikova [14]4 years ago
7 0
1/3 = 16/60
Cross Multiply
48/60=4/5
The constant rate of change is 4/5
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What is the length of BC in the right triangle below?
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Answer:

b. 98

Step-by-step explanation:

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3 years ago
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You are doing annual inventory at the hardware store where you work. A box filled with brass connectors weighs 5 pounds 4 ounces
Georgia [21]

Answer:

304 brass connectors.

Step-by-step explanation:

We have been given that a box filled with brass connectors weighs 5 pounds 4 ounces. The box weighs 8 ounces when empty, and each connector weighs 0.25 ounces.  

Since we know that 1 pound equals to 16 ounces.Let us convert weight of box filled with brass connectors from pounds to ounces.

(5*16)+4=80+4=84

Now we will find weight of brass connectors by subtracting weight of empty box from weight of filled box.

84-8=76

Let us divide 76 by 0.25 to find number of brass connectors in the box.

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Therefore, there are 304 connectors in the box.  


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4 years ago
The mean lifespan of a sylvania light bulb is 1600 hours with a standard deviation of 300 hours, an iqr of 450 hours, and a rang
IgorLugansk [536]
Given that t<span>he mean lifespan of a sylvania light bulb is 1600 hours with a standard deviation of 300 hours, an iqr of 450 hours, and a range of 690 hours. the lifespan distribution is relatively symmetric.

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3 years ago
Find the solution of this system of equations:
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y=-3.667

x=

Step-by-step explanation:

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4 years ago
About 10% of people in the United States are left handed. Suppose we take a sample of 120 U.S. Residents, and let X = the number
olganol [36]

Answer:

1) E(X) = np = 120*0.1 =12

SD(X) = \sqrt{np(1-p)}= \sqrt{120*0.1*(1-0.1)} =3.286

For this case we can interpret that the expected variation around the mean is about 3.3 people approximated

2) P(X\geq 16)

And we can use the normal approximation given by:

X \sim N(12, \sigma =3.286)

And we can use the z score formula given by:

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

And if we find the z score for 16 we got:

z = \frac{16-12}{3.286}= 1.217

And we can find this probability using the normal standard distribution or excel and we got:

P(Z>1.217) = 0.112

3) For this case we can conclude that the probability to find 16 or more individuals left handed in a sample of 120 is about 0.112 or 11.2%

Step-by-step explanation:

Let X represent the random variable for the number of residents who are left handed

And for this case we can model this variable with this distirbution:

X\sim Binom(n= 120 , p =0.1)

Part 1

The mean is given by:

E(X) = np = 120*0.1 =12

And the deviation would be:

SD(X) = \sqrt{np(1-p)}= \sqrt{120*0.1*(1-0.1)} =3.286

For this case we can interpret that the expected variation around the mean is about 3.3 people approximated

Part 2

We want to calculate this probability:

P(X\geq 16)

And we can use the normal approximation given by:

X \sim N(12, \sigma =3.286)

And we can use the z score formula given by:

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

And if we find the z score for 16 we got:

z = \frac{16-12}{3.286}= 1.217

And we can find this probability using the normal standard distribution or excel and we got:

P(Z>1.217) = 0.112

Part 3

For this case we can conclude that the probability to find 16 or more individuals left handed in a sample of 120 is about 0.112 or 11.2%

7 0
3 years ago
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