1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
harkovskaia [24]
3 years ago
7

Airline passengers arrive randomly and independently at the passenger-screening facility at a major international airport. The m

ean arrival rate is 6 passengers per minute. Compute the probability of no arrivals in a one-minute period (to 6 decimals).
Mathematics
2 answers:
AysviL [449]3 years ago
8 0

Answer:

The probability of no arrivals in a one-minute period is 0.002479.

Step-by-step explanation:

We are given that Airline passengers arrive randomly and independently at the passenger-screening facility at a major international airport. The mean arrival rate is 6 passengers per minute.

The above situation can be represented through Poisson distribution because a random variable which includes the arrival rate is considered as Poisson random variable.

The Probability distribution function for Poisson random variable is ;

P(X=x) = \frac{e^{-\lambda }\times \lambda^{x}  }{x!} ;x=0,1,2,3,.....

where,  \lambda = arrival rate

<em />

<em>Let X = Arrival of Airline passengers</em>

The mean of the Poisson distribution is given by = E(X) = \lambda, which is given to us as 6 passengers per minute.

So, X ~ Poisson (\lambda=6)

Now, the probability of no arrivals in a one-minute period is given by = P(X = 0)

      P(X = 0) =  \frac{e^{-6}\times 6^{0}  }{0!}

                    = e^{-6}

                    = 0.002479

<u><em>Hence, the probability of no arrivals in a one-minute period is 0.002479.</em></u>

gladu [14]3 years ago
5 0

Answer:

0.002478 is the probability of no arrivals in a one-minute period.  

Step-by-step explanation:

We are given the following information in the question:

Mean arrival rate = 6 passengers per minute.

\lambda = 6

The airline passengers can be treated as a Poisson distribution.

Poisson distribution.

  • The Poisson distribution is the discrete probability distribution of the number of events occurring in a given time period, given the average number of times the event occurs over that time period.  

Formula:

P(X =k) = \displaystyle\frac{\lambda^k e^{-\lambda}}{k!}\\\\ \lambda \text{ is the mean of the distribution}

P( no arrivals in a one-minute period)

P( x =0) \\\\= \displaystyle\frac{6^0 e^{-6}}{0!}= 0.002478

0.002478 is the probability of no arrivals in a one-minute period.

You might be interested in
What is the difference between 43.68 - 40.67
mote1985 [20]
It would be 3.01 because 40.00-40.00 is 0 then take away the other numbers 3.68- 0.67 is 3.01
7 0
3 years ago
What is the area of this triangle? Enter your answer as a decimal. Round only your final answer to the nearest hundredth.
Ivan
See attached picture for solution:

3 0
4 years ago
Xpand.<br>necessary.combine e terms<br>(2x+ 5)(2x-5)​
klasskru [66]

Answer:

4x²−25

Explanation:

(2x+5)(2x−5)

=(2x+5)(2x+−5)

=(2x)(2x)+(2x)(−5)+(5)(2x)+(5)(−5)

=4x²−10x+10x−25

=4x²−25

7 0
3 years ago
Which graph represents Y as a function of X ?​
inna [77]

Answer:

Which graph represents Y as a function of X ?​

step-by-step explanation:

a. The graph of y = 2x represents a transformation of the parent function, y = x, which makes the graph twice as steep.

b. The graph of y = 2x represents a transformation of the parent function, y = x, which makes the graph half as steep.

c. The graph of y = x represents a transformation of the parent function, y = 2x, which makes the graph half as steep.

d. The graph of y = x represents a transformation of the parent function, y = 2x, which makes the graph twice as steep.

5 0
2 years ago
A physicist examines 28 sedimentary samples for mercury concentration. The mean mercury concentration for the sample data is 0.8
fiasKO [112]

Answer: 0.861

Step-by-step explanation:

The confidence interval for population mean (\mu) is given by :-

\overline{x}\pm t_c\dfrac{s}{\sqrt{n}} , where n=sample size

\overline{x}= sample mean

s=sample standard deviation

t_c= critical t-value (for two tailed )

Let  \mu be the confidence interval for the population mean mercury concentration.

As per given , we have

Sample size : n= 28

degree of freedom = 27   [df=n-1]

Sample mean : \overline{x}=0.863 cc/cubic meter

Sample standard deviation : s= 0.0036

Significance level : \alpha=1-0.98=0.02

Critical two-tailed test value :

t_c=t_{\alpha/2,df}=t_{0.01,\ 27}= 2.473  (Using t-distribution table.)

We assume the population is approximately normal.

Now, the 98% confidence interval for the population mean mercury concentration will be :-

0.863\pm (2.473)\dfrac{0.0036}{\sqrt{28}}\\\\=0.863\pm(0.002)\\\\=(0.863-0.002,\ 0.863+0.002)=(0.861,\ 0.865)

Required confidence interval : 0.861

4 0
3 years ago
Other questions:
  • Which unit would you most likely use to measure the length of a train
    10·1 answer
  • 2(x+19)=3(y-14) is equivalent to (2,6).<br><br> a.true<br> b.false
    7·1 answer
  • What's a phase word for 2/3 y +4
    10·1 answer
  • Which of the following is not a benefit of increased physical activity?
    11·1 answer
  • What is the radius and diameter of the following circle 16cm
    8·2 answers
  • Select the correct answer. Find the solution(s) for x in the equation below. 12 + 10 + 21 = 0
    7·1 answer
  • Pls pls answer the thing is due in 15 mins
    9·2 answers
  • Help please! ill mark brainliest
    7·1 answer
  • E
    15·2 answers
  • 207 divided by 214 in short divison how do i do this?
    9·2 answers
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!