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Probability

Waiting line problem

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 a

54 statistics and probability review problems

(17) Find the approximate percentile ranks of the following weights. A. 57 pounds b. 62 pounds c. 64pounds d. 59 pounds Weight (pounds) Frequency 52.5-55.5 9 55.5-58.5 12 58.5-61.5

Parallel treatments of a frequency distribution and a probability distribution.

Parallel treatments of a frequency distribution and a probably distribution. Frequency Distribution Complete the table below for the following data. (Recall that x is the midpoint of the interval.) 14, 7, 1, 11, 2, 3, 11, 6, 10, 13, 11, 11, 16, 12, 9, 11, 9, 10, 7, 12, 9, 6, 4, 5, 9, 16, 12, 12, 11, 10, 14, 9, 13, 10, 15,

Operation Management

Operation Management Service Process selection and Design #1 - Students arrive at the Administrative Services Office at an average of one every 15 minutes, and their requests take on average 10 minutes to be processed. The service counter is staffed by only one clerk, Judy Gumshoes, who works eight hours per day. Assume Po

Excel Queuing System

Need to solve using Excel Queuing System Sal's international barbershop is a popular haircutting and styling salon near the campus of the University of New Orleans. Four barbers work full time and spend an average of 15 minutes on each customer. Customers arrive all day long, at an average of 12 per hour. When they enter, they

The Golding Discount Department Store: Excel Queuing System Problem

Excel Queuing System The Golding Discount Department Store has approximately 300 customers shopping in its store between 9am and 5pm on Saturdays. In deciding how many cash registers to keep open each Saturday, Golding's manager considers 2 factors: customer waiting time(and the associated waiting cost) and the service costs

Need help with Project Network setup

Laura Thompson needs to plan and manage a local construction project. The following table describes the relationships between the activities that need to be completed: ACTIVITY Day A Day M Day B Immediate Predecessors A 4 8 13 B 4 10 15 A C

Probability

1. Last fall, a gardener planted 65 iris bulbs. She found that only 56 of the bulbs bloomed in the spring. a) Find the empirical probability that an iris bulb of this type will bloom b) How many of the bulbs should she plant next fall if she would like at least 92 to bloom? 2. The last 40 violent crimes committed in Scon

Prob & Stats - Sampling Distributions (6 questions)

1. Given the discrete uniform population f(x) = 1/3, x = 2, 4, 6, 0 elsewhere, Find the probability that a random sample of size 54, selected with replacement, will yield a sample mean greater than 4.1 but less than 4.4. Assume the means to be measured to the nearest tenth. 2. If the standard de

Math for Decision Making

1. The high school GPA of applicants for admission to a college program are recorded and relative frequencies are calculated for the categories. GPA f(x) x < 2.0 .08 2.0 <= x < 2.5 .12 2.5 <= x < 3.0 .35 3.0 <= x < 3.5 .30 3.5 <= x ? a. Complete the table to make this a v

Problems in Math for decision making

1. There are two more assignments in a class before its end, and if you get an A on at least one of them, you will get an A for the semester. Your subjective assessment of your performance is: Event Probability A on paper and A on exam .25 A on paper only .10 A on exam only .30 A on neither .35 a. What

Probability : Sampling without Replacement

Consider a standard deck of playing cards. You randomly select a card from the deck and find that you have drawn a face card. If you don't replace the card, what is the probability that the next card you draw will be a king?

Gamma & Exponential Distribution/Log Nominal Distribution

1. In a certain city, the daily consumption of water (in millions of liters) follows approximately a gamma distribution with ? = 2 and ? = 3. If the daily capacity of that city is 9 million liters of water, what is the probability that on any given day the water supply is inadequate? 2. In a certain city, the daily consumpti

Uniform, Normal and Exponential Distributions and Conditional Probability

1. The length of time it takes to find a parking spot, during the summer terms on a campus, follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute. The probability that a student, attending classes during the summer terms, will find a parking spot in less than 3 minutes is 2. Suppose t

Finance Math : Probability and Expected Value of a Payoff

Charles and Millie Jackson (a married couple in their 40's) have decided to invest a portion of their accumulated retirement "nest-egg" in a new business venture. It is an opportunity that Millie found while exploring one of her hobbies. Her idea is to embroider logos for small companies and organizations. They have already p

Continuous Probability Distributions

Normal Distribution: 1. Find the value of z if the area under a standard normal curve a) to the right of z is 0.3662 b) to the left of z is 0.1131 c) between 0 and z, with z > 0, is 0.4838 d) between -z and z, with z>0, is 0.9500 2. According to Chebyshev's theorem, the probability that any ra

Probability & Statistics

Some Discrete Probability Distributions - (Binomial & Multinomial Distributions/Hypergeometric Distribution/Negative Binomial & Geometric Distributions/Poisson Distribution) (See the attached file for full description). 1. In a certain city district the need for money to buy drugs is stated as the reason for 75% of all thef

You are given the choice of three doors. Behind one is a new car and the others hide a barnyard animal for you to keep. After you choose door number one, your host (Monty) opens door three to reveal a goat. He then asks you if you would like to switch to door two. Has the probability of success gone from 1/3 to 1/2 and then should you switch?

You are given the choice of three doors. Behind one is a new car and the others hide a barnyard animal for you to keep. After you choose door number one, your host (Monty) opens door three to reveal a goat. He then asks you if you would like to switch to door two. Has the probability of success gone from 1/3 to 1/2 and then s

Quantitative Methods of Business

Chez Paul is contemplating either opening another restaurant or expanding its existing location. The payoff table for these two decisions is: s1 s2 s3 New Restaurant -$80K $20K $160K Expand -$40K $20K $100K Paul has calculated the indifference probability for the lottery having a payoff of $160K with probability p and

Probability

Market Researchers, Inc. has been hired to perform a study to determine if the market for a new product will be good or poor. In similar studies performed in the past, whenever the market actually was good, the market research study indicated that it would be good for 85% of the time. On the other hand, whenever the market act

Probability

Consider a seven-game world series between team A and B, where for each game P(A wins)=0.6 a) Find P(A wins series in x game) b) You hold a ticket for the seventh game. What is the probability that you will get to use it? .answer 0.2765 c) if P(A wins a game)=p, what value of p maximizes your chance in b)?answer p=1/2

The Peachtree Airport in Atlanta serves light aircraft. It has a single runway and one air traffic controller to land planes. It takes an airplane 12 minutes to land and clear the runway (following an exponential distribution). Planes arrive at the airport at the rate of 4 per hour (following a Poisson distribution). For purposes of this analysis, you can ignore the planes taking off.

The Peachtree Airport in Atlanta serves light aircraft. It has a single runway and one air traffic controller to land planes. It takes an airplane 12 minutes to land and clear the runway (following an exponential distribution). Planes arrive at the airport at the rate of 4 per hour (following a Poisson distribution). For pur

Probabilities and Uniform Distributions

You arrive at a bus stop at 10 o'clock, knowing that the bus will arrive at some time uniformly distributed between 10:00 and 11:00. a) What is the probability that you will have to wait longer than 10 minutes? b) If at 10:20 the bus has not arrived, what is the probability that you will have to wait atleast an additional 10 m