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Case Analysis 1: "Rose Marie Ginez Restaurant: What now my love? "
I. Introduction - Identify the key problems in the case study above .
II. Solution - Provide one realistic solution to the problem and explain the reasons behind the proposed solution.
III. Alternative Approach - Identify the possible alternative approach to solve the problem.
IV . Risk Assessment: Identify the risks associated on each alternatives and reasons why they are not the best solution.
V. Value Analysis: Name the business value that can be generated from each alternative.
You want to design a sampling scheme to determine whether the process is under control. To inform you in this decision, you need to calculate a few probabilities based on a binomial distribution:
What is the null hypothesis? Use a = 0.05 .
A company has two assembly lines, each of which stalls an average of 2.4 times per week according to a Poisson distribution.
Out of a random sample 167 students pass an exam out of the 300. how do you calculate an exact 99% confidence interval for the proportion of sudents who passed the exam?
What is the probability that Brendan randomly selects a chocolate chip cookie from the bag, eats it, then randomly selects another chocolate chip cookie?
We wish to estimate the difference between the mean scores on a standardized test of students taught by Instructors A and B. The scores of all students taught.
What is the difference between a stratified sample and a systematic sample
Find the first-order model and the minimum error using the covariance method, the forward and backward covariance methods, the Burg algorithm
Calculate and interpret the appropriate statistical test to determine the relationship between the following two variables. Use the five-step model of hypothesis testing to draw conclusions at the .05 level of significance
suppose that x1 x2 x3 x4 and x5 is a random sample from a distribution with density function fx 1theta for 0ltxlttheta.
How accurate are radon detectors of a type sold to homeowners? To answer this question, university researchers placed 12 detectors in a chamber that exposed them to 105 picocuries per liter (pCi/l) of radon. Graph the data, and comment on skewness..
Probabilities are based on equally likely outcomes, a long-run set of observed outcomes, or subjective assessment.
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