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3 years ago

How much water would a 8 ft by 25 ft rectangle hold

1 answer:

8 0

what is the height? in order to calculate the amount of water a rectangular prism can hold, you must know the volume of that rectangular prism, therefore needing three unit factors, including the length, width, and height.... you gave me two factors, the length and the width, so i cannot help you

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What is 120% of 6302 Round to the nearest hundredth (if necessary).

GREYUIT [131]

Answer:

756.24

Step-by-step explanation:

6302 x 0.120 = 756.24

7 0

3 years ago

How much does the 2020 honda civic si 4 door sedan summer w summer tires depreciate in total over 5 years ?

bezimeni [28]

Answer:

10,000-15,000

Step-by-step explanation:

8 0

3 years ago

Please help ZB= Round your answer to the nearest hundredth. B. 6 5 с

Aloiza [94]

Bhis the answer u can write

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3 years ago

Evaluate the expression 4y/Yfor x=8 and y=0

jeyben [28]

To evaluate 4y/x for x=8 and y=0 we shall have:
4y/x=(4×0)/8
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Answer; 0

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3 years ago

g A fair coin is tossed 20 times. The number of heads observed is the count X of successes. Give the distribution of X . Choose

Nuetrik [128]

Answer:

We assume that we have a fair coin that is $p(Head)=p(Tails)=0.5$

For this case we define the random variable X as "number of heads observed in 20 times". The distribution for X is given by:

$X \sim Binom(n=20, p=0.5)$

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

Solution to the problem

We assume that we have a fair coin that is $p(Head)=p(Tails)=0.5$

For this case we define the random variable X as "number of heads observed in 20 times". The distribution for X is given by:

$X \sim Binom(n=20, p=0.5)$

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

3 0

3 years ago