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lubasha [3.4K]
2 years ago
7

Metro buses are scheduled to arrive at each stop every 30 minutes. If the time a person waits at a bus stop is uniformly distrib

uted and the maximum possible wait time for a bus is 30 minutes, what is the probability that you will wait more than 25 minutes for a bus
Mathematics
1 answer:
Nutka1998 [239]2 years ago
4 0

Answer:

The probability is P(X > 25 )  =  1.667

Step-by-step explanation:

From the question we are told that

    The  maximum wait is  b  = 30 \ minutes

      The  minimum wait would be  a =  0\  minutes

Generally the probability that you will wait more than 25 minutes for a bus is mathematically represented as

   P(X > 25 )

Now given that the time a person waits is uniformly distributed and that the maximum is  30 then we can evaluate the above probability as

    P(X > 25 ) =  P(25 <  X  <  30 ) =  \frac{30 - 25}{30 -  0}

     P(X > 25 )  =  1.667

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If there are 40 children aged twelve and under and x of them are under three years old, 40 - x aged three twelve years old. From the 92 people that where taken by the company on whale watching trips, 52 are over twelve years old. The equation that best show the total cost, C is
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1. When developing an interval estimate for the difference between two sample means, with sample sizes of n1 and n2, A. n1 must
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Answer:

D. n1 and n2 can be of different sizes

Step-by-step explanation:

When we are trying to develop interval estimate for difference between two populations, we first select two samples from these populations. We get the interval using the required statistic.

These are:

- Sample size of both populations. Which are n1 and n2 respectively.

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The samples of different sample sizes can be used and we are not obligated to make use of the same sample size.

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2 years ago
A study is being conducted in which the health of two independent groups of ten policyholders is being monitored over a one-year
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Answer:

46.91% probability that at least nine participants complete the study in one of the two groups, but not in both groups

Step-by-step explanation:

We use two binomial trials to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

Probability of at least nine participants finishing the study in a group.

0.2 probability of a students dropping out. So 1 - 0.2 = 0.8 probability of a student finishing the study. This means that p = 0.8.

10 students, so n = 10

We have to find:

P(X \geq 9) = P(X = 9) + P(X = 10)

Then

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 9) = C_{10,9}.(0.8)^{9}.(0.2)^{1} = 0.2684

P(X = 10) = C_{10,10}.(0.8)^{10}.(0.2)^{0} = 0.1074

P(X \geq 9) = P(X = 9) + P(X = 10) = 0.2684 + 0.1074 = 0.3758

0.3758 probability that at least nine participants complete the study in a group.

Calculate the probability that at least nine participants complete the study in one of the two groups, but not in both groups?

0.3758 probability that at least nine participants complete the study in a group. This means that p = 0.3758

Two groups, so n = 2

We have to find P(X = 1).

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 2) = C_{2,1}.(0.3758)^{1}.(0.6242)^{1} = 0.4691

46.91% probability that at least nine participants complete the study in one of the two groups, but not in both groups

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