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Fynjy0 [20]
4 years ago
10

In official NHL hockey puck is shaped like a cylinder with a diameter of 3 inches and a volume of 7.1 in.³. What is the height o

f the hockey puck?
Mathematics
1 answer:
Natali [406]4 years ago
6 0

Answer:

1 inch

Step-by-step explanation:

The formula for the volume of a cylinder:

V = πr²h, where r=radius and h = height

Using 7.1 for 'V' and 1.5 for 'r' (1/2 of the diameter), we can fill in the values and solve for 'h':

7.1 = π(1.5)²h or 7.1 = 7.065h

h = 1 inch

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The record low temperature for a town is -13°F. Yesterday, it was 6°F. What is the
brilliants [131]

Answer:

The difference between the absolute values of these two temperatures is 19°F.

Step-by-step explanation:

|-13| = 13

|6| = 6

13 + 6 = 19°F

7 0
3 years ago
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In how many ways can 3 boys and 3 girls sit in a row if the boys and girls are each to sit together?
goldenfox [79]
The answer would be 36 because theres 6 people and 6 seats so 6*6 = 36
5 0
4 years ago
4) Mandy has a flower garden that is 30
Softa [21]

Answer:

using quaderatic expression solving problems of algebraic expressions.

Step-by-step explanation:

no1.

take the smallest side to be x

and the longest side to be x-1/3

then expand the expression equating to 30.

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6 0
2 years ago
A film distribution manager calculates that 7% of the films released are flops. If the manager is correct, what is the probabili
diamong [38]

Answer:

0.9909 = 99.09% probability that the proportion of flops in a sample of 404 released films would be greater than 4%

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

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:

p = 0.07, n = 404. So

\mu = E(X) = np = 404*0.07 = 28.28

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{404*0.07*0.93} = 5.13

If the manager is correct, what is the probability that the proportion of flops in a sample of 404 released films would be greater than 4%?

This is the pvlaue of Z when X = 0.04*404 = 16.16. So

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

Z = \frac{16.16 - 28.28}{5.13}

Z = -2.36

Z = -2.36 has a pvalue of 0.0091

1 - 0.0091 = 0.9909

0.9909 = 99.09% probability that the proportion of flops in a sample of 404 released films would be greater than 4%

7 0
4 years ago
In right triangle ABC with the right angle at C, m the nearest tenth.
USPshnik [31]

Answer:

I like math

Step-by-step explanation:

3 0
3 years ago
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