Question

Your driving time to work  (continuous random variable) is between 28 and 67 minutes if the day...

Your driving time to work  (continuous random variable) is between 28 and 67 minutes if the day is sunny, and between 44 and 86 minutes if the day is rainy, with a uniform probability density function in the given range in each case.

Assume that a day is sunny with probability  = 0.19 and rainy with probability .

Your distance to work is  = 50 kilometers. Let  be your average speed for the drive to work, measured in kilometers per minute:

Compute the value of the probability density function (PDF) of the average speed  at  = 1.4

Round your answer to five decimal digits after the decimal point.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Your driving time to work  (continuous random variable) is between 29 and 67 minutes if the day...
Your driving time to work  (continuous random variable) is between 29 and 67 minutes if the day is sunny, and between 43 and 83 minutes if the day is rainy, with a uniform probability density function in the given range in each case. Assume that a day is sunny with probability  = 0.46 and rainy with probability . Your distance to work is  = 50 kilometers. Let  be your average speed for the drive to work, measured in kilometers per minute: Compute the value...
URGENT!! PLEASE ANSWER QUICKLY Your driving time to work  (continuous random variable) is between 29 and 65...
URGENT!! PLEASE ANSWER QUICKLY Your driving time to work  (continuous random variable) is between 29 and 65 minutes if the day is sunny, and between 44 and 81 minutes if the day is rainy, with a uniform probability density function in the given range in each case. Assume that a day is sunny with probability  = 0.13 and rainy with probability . Your distance to work is  = 50 kilometers. Let  be your average speed for the drive to work, measured in kilometers per...
Let T be a continuous random variable denoting the time (in minutes) that a students waits...
Let T be a continuous random variable denoting the time (in minutes) that a students waits for the bus to get to school in the morning. Suppose T has the following probability density function: f ( t ) = 1/10 ( 1 − t/30 ) 2 , 0 ≤ t ≤ 30. (a) Let X = T/30 . What distribution does X follow? Specify the name of the distribution and its parameter values. (b) What is the expected time a...
Mean, Variance and Standard Deviation of a Continuous Random Variable 37. Consider the density function (?)=3?...
Mean, Variance and Standard Deviation of a Continuous Random Variable 37. Consider the density function (?)=3? 2 on the interval [0,1]. Find the expected value E(X), the variance Var(X) and the standard deviation σ(X) for the density function and round your answers to four decimal places [Clearly state the method you used and how you calculated your result if you used the calculator] 38.Find the median of the random variable with the probability density function given in question 37 round...
1. Suppose that the time it takes you to drive to work is a normally distributed...
1. Suppose that the time it takes you to drive to work is a normally distributed random variable with a mean of 20 minutes and a standard deviation of 4 minutes. a. the probability that a randomly selected trip to work will take more than 30 minutes equals: (5 pts) b. the expected value of the time it takes you to get to work is: (4 pts) c. If you start work at 8am, what time should you leave your...
Question 1. (4 marks) Recall your consultancy work for Drovandi Marketing and Networks (DMN) from your...
Question 1. Recall your consultancy work for Drovandi Marketing and Networks (DMN) from your last PST. In the final phase of your current project, MXB101, you are required to delve into the minds of customers. DMN has taken a large survey of customers buying a particular product. From this survey, they know that: 25% of customers are under 25. 60% of customers are between 25 and 50. 15% of customers are over 50. DMN estimates that 20% of the population...
MATHEMATICS 1. The measure of location which is the most likely to be influenced by extreme...
MATHEMATICS 1. The measure of location which is the most likely to be influenced by extreme values in the data set is the a. range b. median c. mode d. mean 2. If two events are independent, then a. they must be mutually exclusive b. the sum of their probabilities must be equal to one c. their intersection must be zero d. None of these alternatives is correct. any value between 0 to 1 3. Two events, A and B,...