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Alex73 [517]
3 years ago
10

The waiting times between a subway departure schedule and the arrival of a passenger are uniformly distributed between 0 and 5 m

inutes. Find the probability that a randomly selected passenger has a waiting time greater than 1.25 minutes.
Mathematics
1 answer:
bezimeni [28]3 years ago
7 0

Answer: 0.75

Step-by-step explanation:

Given : Interval for uniform distribution : [0 minute, 5 minutes]

The probability density function will be :-

f(x)=\dfrac{1}{5-0}=\dfrac{1}{5}=0.2\ \ ,\ 0

The probability that a given class period runs between 50.75 and 51.25 minutes is given by :-

P(x>1.25)=\int^{5}_{1.25}f(x)\ dx\\\\=(0.2)[x]^{5}_{1.25}\\\\=(0.2)(5-1.25)=0.75

Hence,  the probability that a randomly selected passenger has a waiting time greater than 1.25 minutes = 0.75

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You are adding 2 each time.

4 terms are given to you, with 5th term being 2

20 - 5 = 15

Multiply 15 with 2

15 x 2 = 30

Add the number gotten with the last number given

30 + 2 = 32

32, or (A) is your answer

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(1 point) A recent report for a regional airline reported that the mean number of hours of flying time for its pilots is 56 hour
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Answer:

(53.812 ; 58.188) ; 156

Step-by-step explanation:

Given that :

Sample size (n) = 51

Mean (m) = 56

Standard deviation (σ) = 9.5

α = 90%

Using the relation :

Confidence interval = mean ± Error

Error = Zcritical * (standard deviation / sqrt (n))

Zcritical at 90% = 1.645

Error = 1.645 * (9.5 / sqrt(51))

Error = 1.645 * 1.3302660

Error = 2.1882877

Hence,

Confidence interval :

Lower boundary = 56 - 2.1882877 = 53.8117123

Upper boundary = 56 + 2.1882877 = 58.1882877

Confidence interval = (53.812 ; 58.188)

2.)

Margin of Error (ME) = 1.25

α = 90%

Sample size = ((Zcritical * σ) / ME)^2

Zcritical at 90% = 1.645

Sample size = ((1.645 * 9.5) / 1.25)^2

Sample size = (15.6275 / 1.25)^2

Sample size = 12.502^2 = 156.3000

Sample size = 156

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Answer:

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Step-by-step explanation:

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