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yarga [219]
3 years ago
5

Suppose you are at a train station in Connecticut. Trains headed to New York city arrive at the station at 15 minute intervals s

tarting at 7:00 am, whereas trains headed to Boston arrive at 15 minute intervals starting at 7:05 am.
Required:
a. If you arrive at a time uniformly distributed between 7 and 8 am, and then get on the first train that arrives (you love both cities!), what proportion of time do you end up in New York city?
b. What if you arrive at a time uniformly distributed between 7:10 and 8:10 am?
Mathematics
1 answer:
guajiro [1.7K]3 years ago
3 0

Answer:

The answer is below

Step-by-step explanation:

a) For the person to get to New York city, the person must arrive at a time after the train to Boston has left and before the train to New York leaves. Between 7 and 8 am, there is a total of 60 minutes. For the person end up in New York city he has to arrive at the train station between the following intervals:

7:05 to 7:15 or 7:20 to 7:30 or 7:35 to 7:45 or 7:50 to 8:00

Let X represent the minutes the passenger arrives between 7 am to 8 am, hence:

P(goes to New York) = P(5 < X < 15) + P(20 < X < 30) + P(35 < X < 45) + P(50 < X < 60) = 10/60 + 10/60 + 10/60 + 10/60 = 40/60 = 2/3

b) As explained in part A, Let X represent the minutes the passenger arrives between 7 am to 8:10 am. But since time uniformly distributed between 7:10 and 8:10 am, this means 10 < X < 70:

For the person end up in New York city he has to arrive at the train station between the following intervals:

7:10 to 7:15 or 7:20 to 7:30 or 7:35 to 7:45 or 7:50 to 8:00 or 8:05 to 8:10

P(goes to New York) = P(10 < X < 15) + P(20 < X < 30) + P(35 < X < 45) + P(50 < X < 60) + P(65< X <70)= 5/60 + 10/60 + 10/60 + 10/60 + 10/60 + 5/60= 40/60 = 2/3

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<h3>What is logarithmic regression?</h3>

Logarithmic regression is a type of regression which is used to model the statement in which the growth or decay initially at rapid rate, and then slow down with respect to time.

The data of the table for the day and height of the stalk of corn is listed below.

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For the above table, the value of correlation coefficient is 0.99133. For these values, the logarithmic regression can be given as,

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