UNSW School of Economics ECON1203 Business and Economic Statistics Session 1, 2015 Major project: AdVantage Purpose The idea is of this assignment is to simulate a professional work task involving statistical analysis. It is designed to help students learn about what is involved in undertaking basic statistical analysis to understand a real-world problem, and communicating the results of this analysis to business stakeholders. Context and Problem You are working as a business analyst
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1. You are the manager of the Gander Mountain store in Frogtown, Illinois. Recently, a customer mentioned that they believed your prices for ammunition were lower than the prices of Gander Mountain's primary competitor in the hunting equipment store, Cabela's. You would like to be able to include that statement in a forthcoming print advertisement, so you need statistical evidence to support this assertion. (A) Identify the null and alternative hypotheses needed to test the contention. H0: Gander
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cases. This shows there isn’t a causal relationship between the amount of money spent and the total number of cases generated. Post 2 Doing the Descriptive Statistical Analysis for the LEGALADV Case… 1. Read pp. 559-561 and pp. 570-571 Statistics in Action. 2. Load the data from the LEGALADV file into Minitab. If you are having trouble loading the data set, see my Announcement on Data Sets for Minitab. 3. Using the Minitab Tutorials, as needed: run the scatter plots and simple
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The mean weight of a random sample of n apples of a particular kind is to be used to estimate the mean weight of all such apples. If σ= 1.5 oz and the probability is to be 0.95 that the estimate is in error by at most 0.5 oz, then n must be equal to: | | 24 | | | 25 | | | 34 | | | 35 | A sample size of 14 is used to find a confidence interval. The number of degrees of freedom needed is 13 A small sample confidence interval formula for a population mean differs from the
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How do employment, age, and income influence the possibilities of a greater purchasing power? What contributes to a higher income level? Fahmeda Sultana ID: 4864712 Executive Summary ‘The Creative Life’, a company based on Huizhou, China is a multinational electronic company. The Creative Life (TCL) has been trying to capture the market overseas through merger and acquisitions. This research report is
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* Brief Summary * Microbial communities present in the Gulf of Mexico rapidly responded to the Deepwater Horizon oil spill. Oceanospirillales, Colwellia, and Cycloclasticus were members of the community that initially dominated in the deep-water plume samples. This changed when the well was capped and the group that dominated was methanotrophs or oil-degraders. None of the initial groups were found in the surface water samples, instead bacteria such as Alphaproteobacteria and Cyanobacteria
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Strategies for Sustainable Channel Relations in Mobile Telecom Sector The main objective of the study is to provide an accurate role for the company executive in developing channel relations. The constructs identified for developing sustainable relationships were Setting distribution objectives, Channel design, Logistics, Image Building, Inventory management, Channel management, Payment & credit, Promotional assistance, Setting targets, Coverage frequency , Motivating channel members to perform
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expected to decrease by .0000251%, ceteris paribus. The data set has been estimated by both 1) least squares dummy variable (LSDV) estimator. 2) Fixed effects estimator. The LSDV (see Table-2) fits the data better than does the pooled OLS. The F statistic increased from 5.05 to 10.21 (p<0000); SSE (sum of squares due to error or residual) decreased from .633356331 to .482044733; and R2 increased from 0.0601 to 0.2846. Due to the dummies included, this model loses two degrees of freedom (from 79
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DATA MINING COSC 5371 ASSIGNMENT 1 DATE: 02/26/2016 NAME: AMAN REDDY GURRAM Student ID: 6001093799 A) Write scripts in R to display mean vectors, standard deviation, scatter diagrams, parallel coordinates signatures of each class for the following datasets. > data(iris) >#Finding Mean of each class > mean(iris$Sepal.Length) [1] 5.843333 > mean(iris$Sepal.Width) [1] 3.057333 > mean(iris$Petal.Length) [1] 3.758 > mean(iris$Petal.Width) [1] 1.199333 >#Finding
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will have factual information about the things that was tested to give a complete and precise explanation. When you utilize the hypothesis you can determine the interest of the problem. This will be a good way to determine the appropriate test statistic. It is always good to specify the level of statistical significance or not rejecting the null hypothesis. Also when you utilize make sure all data is collected and perform all the necessary
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