Kelsie works at a bicycle shop as a salesperson. She records the number of bicycles she sells on a daily basis. Here is the probability distribution of B = the number of bicycles Kelsie sells on a randomly selected day, and T = the time she spends filling out daily sales reports. B = # of bicycles sold 1 3 T = time (minutes) 10 20 30 Probability 0.30 0.50 0.15 0.05 Find the expected value of the amount of time Kelsie spends filling out daily sales reports. E(T) = minutes

Kelsie works at a bicycle shop as a salesperson. She records the number of bicycles she sells on a daily basis. Here is the probability distribution of B = the number of bicycles Kelsie sells on a randomly selected day, and T = the time she spends filling out daily sales reports. B = # of bicycles sold 1 3 T = time (minutes) 10 20 30 Probability 0.30 0.50 0.15 0.05 Find the expected value of the amount of time Kelsie spends filling out daily sales reports. E(T) = minutes

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

What is the expected value, variance and standard deviation of tossing three coins with the number of heads? Show a solutions.
What is the expected value of an exponential randomvariable?
Suppose you have a loaded coin that when flipped is likely to land on heads about 20% of the time and on tails 80% of the time. If you flip this coin three times what is the expected value for tails? What is the variance and standard deviation? What is the probability of you getting two tails?
The time required to grade a single statistics exam is a random variable with a mean 9 min and standard deviation of 2 min. Your instructor must grade 36 such exams. What is the probability that he will spend at least 6 hours (360 min) grading? (HINT: Use CLT)
What do you understand by conditional random variable?
Is it possible for a probability sample to be biased and to also lack independence? Please explain.
What are the expected value and the standard error of the sample proportion ?̂, if the true population proportion is 0.2 and the sample size is n = 90?
Define Computing Probabilities Involving Normal Random Variables?
What does the Empirical Rule say? Can you use the Empirical Rule for ALL probabilities in a normal distribution? Why?
How to find the expected value and variance of a beta from a Gamma distribution?
What characteristic of a normal probability plot (also called a QQ plot) are we looking for to enable us to determine it is reasonable to assume the sample was selected from a normally distributed population?
Distinguish between discrete random variable and continuous random variable. Why time cannot be measured in a discrete scale?