The article "The Uniform Distribution as a First Practical Approach to New Product Inventory Management" [International Journal ofProduction Economics, 2008, 114(2)] proposed a uniform distribution to model the demand of a new product before observing theactual distribution. You will model demand forecasts with a discrete uniform distribution. According to your estimates, the minimumand the maximum levels of new product demand are 5 and 30 units per day, respectively.(a) Determine the mean and variance of new product demand.Mean=1=Variance = i(b) Determine the probability mass function of new product demand.Enter the answer as a fraction. Divide the numerator and denominator by "/".f(x) =(c) How do the mean and the variance of new product demand change, if you revise your estimate of maximum demand to be 24instead of 30?Round your answers to two decimal places (e.g. 98.76).Mean = iVariance = i

Answered: Image /qna-images/answer/c06b246c-ff84-4fc7-839b-3745c1572282.jpg

Answered: (a) Determine the mean and variance of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Suppose a researcher is interested in the effectiveness of a new novel talk therapy technique in reducing overall depression as identified via score report on the geriatric depression scale (GDS). In order to carry out this hypothesis, the researcher gathers a SRS of participants in the program and performs the GDS test prior to, and after initiation of the new therapy technique. Assume the SRS score report presented below represents an approximately normal distribution. Participant GDS Score (Out of 15) Prior to intervention GDS Score (Out of 15) Following intervention A 12 8 B 13 7 C 12 7 D 14 9 E 11 6 F 11 7 A) What type of study design is this? B) Conduct a paired sample t test investigating the effectiveness of the new therapy technique with 95% confidence. Write out your null and alternative hypotheses, and interpret your pvalue correctly. C) Construct a 95% confidence interval representing the average difference…
1.The number of customers who enter a shop in an hour is Poisson distributed with a mean of 6. Calculate the percentage of hours in which less than 2 customers enter the shop.
Suppose a paint manufacturer has a daily production, x, that is normally distributed with a mean of 100,000 gallons and a standard deviation of 10,000 gallons. Management wants to create an incentive bonus for the production crew when the daily production exceeds the 90th percentile of the distribution, in hopes that the crew will, in turn, become more productive. At what level of production should management pay the incentive bonus?
The manager of a fast-food store realizes that her staffing problems are a result of the variation in the number of customers that arrive at the store. If the same number of customers came each hour, she would know exactly how many servers to have working. It turns out that the Poisson distribution works well to describe the arrivals of customers in any given hour. Explain why the manager has more trouble staffing the store during those hours when the average arrival rate is higher.
The number of times a machine broke down each week was observed over a period of 100 weeks and recorded in the accompanying table. It was found that the average number of breakdowns per week over this period was 2.1. Test the null hypothesis that the population distribution of breakdown is Poisson.Number of breakdowns 0 1 2 3 4 5 or moreNumber of weeks 10 24 3 2 23 6 5
Consider an automatic production line that delivers computer components for inspection. According to the system’s specification, the interarrival time of the delivery follows a continuous uniform distribution between 5 to 15 minutes. The average inspection time of one component is 10 minutes. A simulation model was developed to replicate the system and eight samples were collected with the following data: Sample # 1 2 3 4 5 6 7 8 Interarrival time 14.7 14.8 6.8 11.6 6.3 13.3 7.9 10.3 Inspection time 8.3 5.7 4.0 9.0 10.6 5.9 8.5 7.0 Apply the Kolmogorov-Smirnov test, at the 1% level of significance, to test the hypothesis that the simulated interarrival times comply with the system’s specification. Conduct a statistical test to determine if the simulated inspection times are consistent with the system behavior at the 5% level of significance. Give another set of inspection times, 9.1, 12.7, 8.7, 10.8, 11.6, and 6.8,…
Determine the heteroscedasticity in a scatter plot?
1:Derive the Bayesian Risk 2: Consider two sets of data samples drawn from two classes, where these classes are characterized by two Gaussian distributions sharing equal means but with different variances: (In the image down) Your task is to find the Bayes' decision rule, also known as the Maximum-APosteriori (MAP) rule, for making optimal decisions based on these probability distributions.
Suppose a loss distribution is a two-component spliced model with:(i) a Weibull distribution having parameters θ1 = 1500 and τ = 1 for losses up to $4,000; and(ii) a Pareto distribution having parameters θ2 = 12000 and α = 2 for losses $4,000 and up.The probability that losses are less than $4,000 is 0.60. Calculate the probability that losses are less than $25,000.
Assuming that the scores of Grade 11 students in Statistics and Probability in theirthird quarter test are normally distributed with a mean of 50 and a standarddeviation of 5. If the z-score of a student is 2, find his raw score.
write out the null and alternative hypothesis and the distribution of the test statistic used to address these questions. 1.) Do a majority of engines last 300000 miles? 2 .) Is the variability in trading price of Fund A similar to that of the Fund B? 3.) Are casino customer earnings in Vegas atleast as much as those of New Jersey? 4.) The mean consumption of water per household in a city was 1245 cubic feet last month. Due to a water shortage, the city council campaigned for water use conservation by households. Based solely on sample data, was the campaign successful?
Define the Distributed Lag Model with Additional Lags and AR(p) Errors?

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS