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Speedy oil provides a single channel automobile oil change and lubrication service. Customers provide an arrive rate of 2.5 cars per hour. The service rate is 5 cars per hour. Assume that arrivals follow a Poisson probability distribution and that service times follow an exponential probability distribution.
a) What is the average time of cars in the system ?
b) What is the average time that a car waits for oil and lubrication service to begin?
c) What is the average time a car spend in the system?
d) What is the probability that an arrival has to wait for service?
How many comparisons are lost in the development of the autoregressive model and how many parameters do you need to estimate? Which of the orginal 40 values do you need for forecasting and state the model?
1. kane discusses the concentricity of an engine oil seal groove. historically the standard deviation for the
Do you benefit by using a cum sum chart rather than a control chart?
Alice and Bob agree to meet at the bus stop between 12 noon and 1pm. They each arrive at a random time in that interval and wait for 5 minutes before leaving, unless they see the other person. What is the probability that they meet each other?
A multiple choice quiz has 150 questions each with 5 choices and only 1 is the correct answer. What is the probability that sheer guess work yield from 30 to 40 correct answers out of the 150 questions?
a researcher wants to prove that there is a difference in the average life spans between men and women in japan. let
The data obtained from the 30 respondents are shown in the table. Calculate the category means and the grand mean. Show Calculations. Calculate SSy, SSx, and SSerror. Show Calculations.
suppose that a1 a2 are events such that pa1bgt0. show that a1 and a2 are conditionally independent given b i.e.
4. Three hundred students took a chemistry test. You sampled 50 students to estimate the average score and the standard deviation. How many degrees of freedom were there in the estimation of the standard deviation? (Justify for full credit)
a statistical model for appraisal value of houses is needed. an important predictor variable of appraised value is the
Define or give an example of a hypothetical construct. Explain why operational definitions are needed to define and to measure constructs.
What is the probability of randomly selecting 10 production employees on a hot summer day and finding that none of them are absent?
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