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GalinKa [24]
1 year ago
6

Two trains leave stations 396 miles apart at the same time and travel toward each other. One train travels at 80 miles per hour

while the other travels
at 100 miles per hour. How long will it take for the two trains to meet?
Mathematics
1 answer:
kherson [118]1 year ago
3 0

Answer:

It will take 2.2 hours for the trains to meet.

Step-by-step explanation:

Given,

Distance between two trains = 396 miles

Speed of one train = 95 mph

Speed of other train = 85 mph

Combined speed of trains = 95+85 = 180 mph

Distance = Speed * Time

Time =

Time =

Time = 2.2 hours

It will take 2.2 hours for the trains to meet.

Keywords: speed, distance

Learn more about distance at:

brainly.com/question/13219835

brainly.com/question/1836777

#LearnwithBrainly

Step-by-step explanation:

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4 years ago
Please help due at the end of class
Klio2033 [76]

Answer:

B; or "a > -2"

Step-by-step explanation:

If solved by order of operations:

- divide both sides by 13

- 13 will cancel out on the left side and the when -26 will be divided by 13 the answer will be "-2"

- This leaves with the answer of "x > -2"

Hope this helps!

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5 0
4 years ago
Lie detectors Refer to Exercise 82. Let Y = the number of people who the lie detector says are telling the truth.
mr_godi [17]

Answer:

a) P(Y\geq 10) = PX \leq 2) = 0.558

b) E(X) = \mu_X = np = 12*0.2 = 2.4

\sigma_X = \sqrt{np(1-p)}=\sqrt{12*0.2*(1-0.2)}=1.386

E(Y) = \mu_Y = np = 12*0.8 = 9.6

\sigma_Y = \sqrt{np(1-p)}=\sqrt{12*0.8*(1-0.8)}=1.386

For this case the expected value of people lying is 2.4 and the complement is 9.6 and that makes sense since we have a total of 12 poeple.

And the deviation for both variables are the same.

Step-by-step explanation:

Assuming this previous info : "A federal report finds that lie detector tests given to truthful persons have probability about 0.2 of  suggesting that the person is deceptive. A company asks 12 job applicants about thefts from previous employers, using  a lie detector to assess their truthfulness. Suppose that all 12 answer truthfully. Let X = the number of people who the lie  detector says are being deceptive"

For this case the distribution of X is binomial X \sim N(n=12, p=0.2)And we define the new random variable Y="the number of people who the lie detector says are telling the truth" so as we can see y is the oppose of the random variable X, and the distribution for Y would be given by:[tex] Y \sim Bin (n=12,p=1-0.2=0.8)

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!}

Part a

For this case we want to find this probability:

P(Y \geq 10) = P(Y=10)+P(Y=11) +P(Y=12)

And if we find the individual probabilites we got:

P(Y=10)=(12C10)(0.8)^{10} (1-0.8)^{12-10}=0.283

P(Y=11)=(12C11)(0.8)^{11} (1-0.8)^{12-11}=0.206

P(Y=12)=(12C12)(0.8)^{12} (1-0.8)^{12-12}=0.069

And if we replace we got:

P(Y \geq 10) =0.283+0.206+0.069=0.558

And for this case if we find P(X\leq 2)=P(X=0) +P(X=1)+P(X=2)  for the individual probabilites we got:

P(X=0)=(12C0)(0.2)^0 (1-0.2)^{12-0}=0.069

P(X=1)=(12C1)(0.2)^1 (1-0.2)^{12-1}=0.206

P(X=2)=(12C2)(0.2)^2 (1-0.2)^{12-2}=0.283

P(X\leq 2)=0.283+0.206+0.069=0.558

So as we can see we have P(Y\geq 10) = P(X \leq 2) = 0.558

Part b

Random variable X

For this case the expected value is given by:

E(X) = \mu_X = np = 12*0.2 = 2.4

And the deviation is given by:

\sigma_X = \sqrt{np(1-p)}=\sqrt{12*0.2*(1-0.2)}=1.386

Random variable Y

For this case the expected value is given by:

E(Y) = \mu_Y = np = 12*0.8 = 9.6

And the deviation is given by:

\sigma_Y = \sqrt{np(1-p)}=\sqrt{12*0.8*(1-0.8)}=1.386

For this case the expected value of people lying is 2.4 and the complement is 9.6 and that makes sense since we have a total of 12 poeple.

And the deviation for both variables are the same.

8 0
3 years ago
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