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Zanzabum
4 years ago
7

A track runner was timed at 3 miles per hour. How many feet per minute did they run?

Mathematics
2 answers:
Marianna [84]4 years ago
8 0
The correct answer is A
Snowcat [4.5K]4 years ago
7 0

Answer: A) 264ft/minute


Step-by-step explanation:

1. Based on the information given in the problem, the speed of the track  runner was 3 miles per hour (3\frac{mi}{h}).

2. If you want to know the speed of the track runner in feet per minute, you need to apply the following proccedure:

(3\frac{mi}{h})(\frac{5280ft}{1mi})(\frac{1h}{60min})=\frac{(3)(5280)}{60}=264\frac{ft}{min}

3. Therefore, the answer is the option A.


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1/50

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Probability that both engines fail = Failure rate of both engines

= 1/100 + 1/100

= 2/100

= 1/50

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3 years ago
5 times the smaller of two numbers is subtracted from twice the larger,the result is 1. If the larger is increased by three time
kotegsom [21]

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3 years ago
(9 3 ) 6 = please help me answer this question
SashulF [63]
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3 years ago
A coffee machine dispenses normally distributed amounts of coffee with a mean of 12 ounces and a standard deviation of 0.2 ounce
NemiM [27]

Answer:

0.9332 = 93.32% probability that the mean of the sample will be less than 12.1 ounces.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 12 ounces and a standard deviation of 0.2 ounces.

This means that \mu = 12, \sigma = 0.2

Sample of 9:

This means that n = 9, s = \frac{0.2}{\sqrt{9}}

Find the probability that the mean of the sample will be less than 12.1 ounces.

This is the pvalue of Z when X = 12.1. So

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

By the Central Limit Theorem

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

Z = \frac{12.1 - 12}{\frac{0.2}{\sqrt{9}}}

Z = 1.5

Z = 1.5 has a pvalue of 0.9332

0.9332 = 93.32% probability that the mean of the sample will be less than 12.1 ounces.

6 0
3 years ago
PLEASE HELP I NEED THE CORRECT ANSWER FAST
Drupady [299]
22 degrees is the answer
3 0
3 years ago
Read 2 more answers
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