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LenKa [72]
2 years ago
7

Fezzik, the giant is berated by Vizzini, who says he is nothing more than a “landmass.” What evidence shows you that Vizzini is

wrong, that Fezzik has value that extends beyond his large physique?
(The Princess Bride Movie)
Mathematics
1 answer:
brilliants [131]2 years ago
5 0

Answer:

What evidence shows you that Vizzini is wrong, that Fezzik has ... Fezzik, the giant is berated by Vizzini, who says he is nothing more than a “landmass. ... wrong, that Fezzik has value that extends beyond his large physique?

Step-by-step explanation:

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fiasKO [112]

Answer: 12.8 meters long

Step-by-step explanation:

b=body length

8/1=b/1.6

  8=b/1.6

  b=12.8 meters long

7 0
1 year ago
Read 2 more answers
Consider the function represented by 9x+3y = 12 with x as the independent variable. How can this function be
Delicious77 [7]

Answer:

  • f(x) = -3x + 4

Step-by-step explanation:

<u>Given function:</u>

  • 9x + 3y = 12

<u>Putting this into slope-intercept form: y = mx + b</u>

  • 9x + 3y = 12
  • 3y = -9x + 12
  • y = -3x + 4

<u>Replacing y with f(x)</u>

  • f(x) = -3x + 4
6 0
3 years ago
5. A ball is thrown upward with an initial velocity of 50 feet per second. The
dangina [55]

Answer:

SEE BELOW IN BOLD.

Step-by-step explanation:

a.

h = -16t^2 + 50t

h = 20 t

When the height is the same:

-16t^2 + 50t = 20t

-16t^2  + 30t = 0

t(-16t + 30) = 0

t = 0 or  -16t + 30 = 0, so:

t = 0 or -30/-16 = 1.875

So the answer is 1.88 seconds to the nearest hundredth.

b.

For the ball

h = -16t^2 + 50t

Finding the derivative and equating to zero:

dh/dt = -32t + 50 = 0

t = -50/-32 = 1.563

Maximum height after 1.56 seconds to nearest hundredth

c.

When the ball hits the ground h = 0 so

-16t^2 + 50t = 0

-16t(t - 50/16)= 0

T = 3.13 SECONDS TO THE NEAREST HUNDERDTH

7 0
2 years ago
A recipe for potato casserole calls for 7/4 cups of cheese. Write the fractions as a mixed number.
alexira [117]
7/4

4 goes into 7 one time.
3 left over.

1 3/4
3 0
2 years ago
A popular resort hotel has 300 rooms and is usually fully booked. About 7% of the time a reservation is canceled before the 6:00
kicyunya [14]

Answer:

8.69% probability that at least 285 rooms will be occupied.

Step-by-step explanation:

For each booked hotel room, there are only two possible outcomes. Either there is a cancelation, or there is not. So we use concepts of the binomial probability distribution to solve this question.

However, we are working with a big sample. So i am going to aproximate this binomial distribution to the normal.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

A popular resort hotel has 300 rooms and is usually fully booked. This means that n = 300

About 7% of the time a reservation is canceled before the 6:00 p.m. deadline with no pen-alty. What is the probability that at least 285 rooms will be occupied?

Here a success is a reservation not being canceled. There is a 7% probability that a reservation is canceled, and a 100 - 7 = 93% probability that a reservation is not canceled, that is, a room is occupied.  So we use p = 0.93

Approximating the binomial to the normal.

E(X) = np = 300*0.93 = 279

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{300*0.93*0.07} = 4.42

The probability that at least 285 rooms will be occupied is 1 subtracted by the pvalue of Z when X = 285. So

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

Z = \frac{285- 279}{4.42}

Z = 1.36

Z = 1.36 has a pvalue of 0.9131.

So there is a 1-0.9131 = 0.0869 = 8.69% probability that at least 285 rooms will be occupied.

8 0
3 years ago
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